{"id":18,"date":"2019-08-16T14:57:48","date_gmt":"2019-08-16T14:57:48","guid":{"rendered":"http:\/\/cs.smu.ca\/~jiju\/?page_id=18"},"modified":"2026-04-07T18:39:45","modified_gmt":"2026-04-07T21:39:45","slug":"research","status":"publish","type":"page","link":"https:\/\/cs.smu.ca\/~jiju\/index.php\/research\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<p><strong>[J]<\/strong>-Peer reviewed journal article, <strong>[C]<\/strong>-Peer reviewed conference papers\/posters, <strong>[B]<\/strong>-Books, <strong>[P]<\/strong>-Pre-prints\/in review, <strong>[T]<\/strong>-Thesis\/Technical reports\/course notes. <em>Note: Though my official name is Jiju Poovvancheri, I use my first name (&#8216;Jiju&#8217;) followed by my father&#8217;s name&nbsp; (&#8216;Peethambaran&#8217;)&nbsp;in some of my publications.&nbsp;<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2026<\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2282 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/04\/teaser-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/04\/teaser-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/04\/teaser.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[P6] <em>Prachi Kudeshia<\/em><em>, Jiju Poovvancheri, Amr Ghoneim and Dong Chen<\/em><br \/>\u200b<strong>&#8220;A Persistent Homology Design Space for 3D Point Cloud Learning&#8221;\u00a0 <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">Preprint<\/span><\/em><\/strong><\/strong>\u00a0<strong><br \/>[<strong>pdf<\/strong>][<a href=\"https:\/\/arxiv.org\/pdf\/2604.04299\" target=\"_blank\" rel=\"noopener\">arxiv<\/a>][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2254 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/02\/cg26-300x239.png\" alt=\"\" width=\"300\" height=\"239\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/02\/cg26-300x239.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/02\/cg26-768x613.png 768w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/02\/cg26.png 902w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[P5] <em>Prachi Kudeshia<\/em><em>, and Jiju Poovvancheri<\/em><br \/>\u200b<strong>&#8220;Learning Significant Persistent Homology Features for 3D Shape Understanding&#8221;\u00a0 <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">Preprint<\/span><\/em><\/strong><\/strong>\u00a0<strong><br \/>[<strong>pdf<\/strong>][<a href=\"https:\/\/arxiv.org\/abs\/2602.14228\" target=\"_blank\" rel=\"noopener\">arxiv<\/a>][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-1708 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/02\/teaser-1-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/02\/teaser-1-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/02\/teaser-1.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J38] <em>Mehfuz A Rahman, Khushal Das, Jiju Poovvancheri, Neil London, and Dong Chen<\/em><br>\u200b<strong>&#8220;RBF Weighted Hypr-Involution for RGB-D Object Detection&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">Signal, Image and Video Processing, Springer-Nature [Minor Revision] <\/span><\/em><\/strong><\/strong>&nbsp;<strong><br>[<strong>pdf<\/strong>][journal link][<strong>bibtex<\/strong>][<a href=\"https:\/\/arxiv.org\/pdf\/2310.00342\">arxiv<\/a>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2267 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/alphaknn-1-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/alphaknn-1-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/alphaknn-1.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C24] <em>Altaf M. Agowun, Jiju Poovvancheri, and Dong Chen<\/em><br>\u200b<strong>&#8220;Learning Disentangled Representations of LiDAR Scans via Alpha Complexes for Tree Species Classification&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">International Geoscience &amp; Remote Sensing Symposium (IEEE IGARSS 2026) <\/span><\/em><\/strong><\/strong>&nbsp;<strong><br>[<strong>pdf<\/strong>][journal link][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2265 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/crl-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/crl-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/crl.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C23] <em>Susrita Chatterjee, Jiju Poovvancheri, and Dong Chen<\/em><br>\u200b<strong>&#8220;A Cyclic Reinforcement Learning Framework for Predicting Road Repairs from High Resolution Remote Sensing Imagery&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">International Geoscience &amp; Remote Sensing Symposium (IEEE IGARSS 2026) <\/span><\/em><\/strong><\/strong>&nbsp;<strong><br>[<strong>pdf<\/strong>][journal link][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2264 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/depganrs-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/depganrs-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/depganrs.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C21] <em>Amr ghoneim, Jiju Poovvancheri, Yasushi Akiyama and Dong Chen<\/em><br>\u200b<strong>&#8220;DepGAN-RS: Depth Guided Object Placement for Realistic Remote Sensing Image Augmentation&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">International Geoscience &amp; Remote Sensing Symposium (IEEE IGARSS 2026) <\/span><\/em><\/strong><\/strong>&nbsp;<strong><br>[<strong>pdf<\/strong>][journal link][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2261 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/teaser-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/teaser-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/03\/teaser.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J37] <em>Dong Chen, Chenwei Zhou, Shenglan Du, Yuliang Wang, Zhen Cao, Mingming Sui, Yiyang Kong, Shenjie Feng, Jiju Peethambaran, and Liqiang Zhang<\/em><br>\u200b<strong>&#8220;Structure- and Semantics-Aware Mesh Simplification for Generating Lightweight 3D Building Models&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">Remote Sensing<\/span><\/em><\/strong><\/strong>&nbsp;<strong><br>[<strong>pdf<\/strong>][journal link][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2246 \" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/02\/teaser-300x247.png\" alt=\"\" width=\"209\" height=\"172\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/02\/teaser-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2026\/02\/teaser.png 600w\" sizes=\"(max-width: 209px) 100vw, 209px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J36] <em>Khushal Das, Jiju Poovvancheri, Sergio Flesca, Claudia Roberta, and Dong Chen<\/em><br>\u200b<strong>&#8220;Emerging Trends in Wildfire Detection through the Lens of Computer Vision and Wildfire Emission Quantification: A Comprehensive Survey&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">IEEE Access<\/span><\/em><\/strong><\/strong>&nbsp;<strong><br>[<strong>pdf<\/strong>][journal link][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2025<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2163 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/10\/teaser-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/10\/teaser-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/10\/teaser.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J35] <em>Dong Chen<\/em><em>, Chenwei Zhu, Zhenxing Zhang, Jiaming Na, Yueqian Shen, Yanming Chen, Jiju Peethambaran, and Liqiang Zhang<\/em><br>\u200b<strong>&#8220;Public Building Geometric Models from Point Clouds: A Multidimensional Quality Evaluation Framework&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">IEEE Geoscience and Remote Sening Magazine<\/span><\/em><\/strong><\/strong>&nbsp;<strong><br>[<strong>pdf<\/strong>][<a href=\"https:\/\/ieeexplore.ieee.org\/document\/11216114\" target=\"_blank\" rel=\"noopener\">journal link<\/a>][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-2153 size-medium\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/07\/teaser-3-300x247.png\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/07\/teaser-3-300x247.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/07\/teaser-3.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J34] <em>Dong Chen<\/em><em>, Fan Hu, Jiaming Na, Zhenxing Zhang, Zhen Cao, Zhizhong Kang, Liqiang Zhang, Jiju Poovvancheri, and Norbert Pfeifer<\/em><br>\u200b<strong>&#8220;Adaptive isoline Interval Optimization for Precise Contour Segmentation and Instance Level Detection of Martian Impact Craters&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">Icarus, Elsevier<\/span><\/em><\/strong><br>[<strong>pdf<\/strong>][<strong>journal link<\/strong>][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-2104 size-full\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/02\/tgrs2025.png\" alt=\"\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/02\/tgrs2025.png 902w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/02\/tgrs2025-300x239.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2025\/02\/tgrs2025-768x613.png 768w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J33] <em>Yuchan<\/em>&nbsp;<em>Liu, Dong Chen, Jiaming Na, Jiju Peethambaran, Norbert Pfeifer, and Liqiang Zhang <\/em><br>\u200b<strong>&#8220;Segmentation of Individual Trees in TLS Point Clouds via Graph Optimization&#8221;&nbsp; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">IEEE Transactions on Geoscience and Remote Sensing<\/span><\/em><\/strong> <br>[<strong>pdf<\/strong>][<strong>journal link<\/strong>][<strong>bibtex<\/strong>]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" class=\"wp-image-2045 size-full\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/10\/pointjepa.png\" alt=\"\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/10\/pointjepa.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/10\/pointjepa-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C20] <em>Ayumu Saito, Prachi Kudeshia and Jiju Poovvancheri,<\/em><br>\u200b<strong>&#8220;Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Clouds&#8221; <strong><em> <span class=\"tadv-color\" style=\"color: #0071a1;\">IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV 2025)<\/span><\/em><\/strong> [Extended version of C18], <\/strong>Tucson, Arizona, Feb 2025<strong><strong><br>[<a href=\"https:\/\/arxiv.org\/pdf\/2404.16432\" target=\"_blank\" rel=\"noopener\">arXiv<\/a>] [<a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/IQAS9YyKKfIgS5377laB4bxhAUSDuzWH4yOqycl48D8Jskg?e=XRiNJv\" target=\"_blank\" rel=\"noopener\">poster<\/a><\/strong><\/strong><strong><strong>] [<a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:v:\/g\/personal\/jiju_poovvancheri_smu_ca\/IQAsimtvJBZlSayTjuvX90e5AQdi5V6oDCe7qY4Jx3x5B3Y?nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJPbmVEcml2ZUZvckJ1c2luZXNzIiwicmVmZXJyYWxBcHBQbGF0Zm9ybSI6IldlYiIsInJlZmVycmFsTW9kZSI6InZpZXciLCJyZWZlcnJhbFZpZXciOiJNeUZpbGVzTGlua0NvcHkifX0&amp;e=z9r18d\" target=\"_blank\" rel=\"noopener\">video<\/a>] [<a href=\"https:\/\/github.com\/Ayumu-J-S\/Point-JEPA\" target=\"_blank\" rel=\"noopener\">code<\/a>] <\/strong><\/strong><strong><strong>[project page]<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2024<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" class=\"wp-image-2000 size-full\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/05\/smi24.png\" alt=\"\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/05\/smi24.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/05\/smi24-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J32\/C19] <em>Prachi Kudeshia, Muhammad Altaf Agowun, and Jiju Poovvancheri,<\/em><br>\u200b<strong>&#8220;Learning Geometric Complexes for 3D Shape Classification&#8221; <strong><em><span class=\"tadv-color\" style=\"color: #0071a1;\">Shape Modeling International (SMI 2024), Computers &amp; Graphics, Elsevier<\/span><\/em><\/strong><\/strong> , Dettroit, July 2024 <strong><br>[pdf][<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0097849324002541?via%3Dihub\">journal link<\/a>][<strong>ppt<\/strong>][code][project page]<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:22% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/07\/depgan.png\" alt=\"\" class=\"wp-image-2022 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/07\/depgan.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/07\/depgan-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[P4] <em>Amr Ghoneim, Jiju Poovvancheri, Yasushi Akiyama and Dong Chen,<\/em><br>\u200b<strong>&#8220;DepGAN: Leveraging Depth Maps for Handling Occlusions and Transparency in Image Composition&#8221; <br>[<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/pdf\/2407.11890\" target=\"_blank\">arXiv<\/a>][<a href=\"https:\/\/github.com\/amrtsg\/DepGAN\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a>][<a href=\"https:\/\/amrtsg.github.io\/DepGAN\/\" target=\"_blank\" rel=\"noreferrer noopener\">project page<\/a>]<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:22% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/05\/cvprw.png\" alt=\"\" class=\"wp-image-2003 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/05\/cvprw.png 902w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/05\/cvprw-300x239.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/05\/cvprw-768x613.png 768w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[C18] <em>Ayumu Saito, and Jiju Poovvancheri,<\/em><br>\u200b<strong>&#8220;Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Clouds&#8221; <strong><em><span class=\"tadv-color\" style=\"color:#0071a1\">Transofmers for Vision Workshop, IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)<\/span><\/em><\/strong>, <\/strong>Seattle, June 2024<strong><strong><br>[<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/pdf\/2404.16432\" target=\"_blank\">arXiv<\/a>][<strong>poster<\/strong>][<a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/Ayumu-J-S\/Point-JEPA\" target=\"_blank\">code<\/a>][project page]<\/strong><\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/03\/teaser.png\" alt=\"\" class=\"wp-image-1964 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/03\/teaser.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/03\/teaser-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[C17] <em>Susrita Chatterjee, Prachi Kudeshia, Nikolaus Kollo, Muhammad Altaf Agowun, Jiju Peethambaran and Yasushi Akiyama,<\/em><br>\u200b<strong>&#8220;SatStreaks: Towards Supervised Learning for Delineating Satellite Streaks from Astronomical Images&#8221; <strong><em><span class=\"tadv-color\" style=\"color:#0071a1\">Conference on Robots and Vision (CRV 2024)<\/span><\/em><\/strong><\/strong>, Guelph, May 2024<strong><br>[<a rel=\"noreferrer noopener\" href=\"https:\/\/assets.pubpub.org\/732i6yaw\/4pj-51715797203470.pdf\" target=\"_blank\">pdf<\/a>][<strong>poster<\/strong>][<a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/jijup\/SatStreaks\" target=\"_blank\">code<\/a>][<a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/personal\/susrita_chatterjee_smu_ca\/_layouts\/15\/onedrive.aspx?id=%2Fpersonal%2Fsusrita%5Fchatterjee%5Fsmu%5Fca%2FDocuments%2FSatellite%20Dataset&amp;ga=1\" target=\"_blank\">data<\/a>][<a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/jijup\/SatStreaks\/blob\/master\/README.md\" target=\"_blank\">project page<\/a>]<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/02\/sces24.png\" alt=\"\" class=\"wp-image-1950 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/02\/sces24.png 902w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/02\/sces24-300x239.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/02\/sces24-768x613.png 768w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-primary-color has-text-color\">[J31]  <em>Dong Chen, Fan Hu<\/em>, <em>Liqiang Zhang, Yunzhao Wu<\/em>, <em>Jianli Du and Jiju Peethambaran<\/em><br>\u200b<strong>&#8220;Impact Crater Recognition Methods: A Review&#8221;<\/strong>, <strong><em><span class=\"tadv-color\" style=\"color:#0071a1\">Science China: Earth Sciences<\/span><\/em><\/strong><br>[pdf][<strong><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11430-023-1284-9\" target=\"_blank\" rel=\"noreferrer noopener\">journal link<\/a><\/strong>][bibtex]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/01\/rs2024.png\" alt=\"\" class=\"wp-image-1932 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/01\/rs2024.png 902w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/01\/rs2024-300x239.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2024\/01\/rs2024-768x613.png 768w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-primary-color has-text-color\">[J30] <em>Yuchan Liu<\/em>, <em>Dong Chen, Shihan Fu<\/em>, <em>P. Takis Mathiopoulos, Jing Li<\/em>, <em>Mingming Sui<\/em>,<em> Jiaming Na and Jiju Peethambaran<\/em><br>\u200b<strong>&#8220;Individual Tree Points Segmentation by Combining Marker Controlled Watershed Segmentation and Spectral Clustering Optimization&#8221;<\/strong>, <strong><em><span class=\"tadv-color\" style=\"color:#0071a1\">Remote Sensing<\/span><\/em><\/strong><br>[pdf][<a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/16\/4\/610\" target=\"_blank\"><strong>journal link<\/strong><\/a>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/11\/teaser.png\" alt=\"\" class=\"wp-image-1893 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/11\/teaser.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/11\/teaser-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-primary-color has-text-color\">[J29] <em>Dong Chen, Lincheng Wan<\/em>, <em>Fan Hu, Jing Li<\/em>, <em>Yanming Chen<\/em>,<em>Yueqian Shen and Jiju Peethambaran<\/em><br>\u200b<strong>&#8220;Semantic-aware Room-level Indoor Modeling from Point Clouds&#8221;<\/strong>, <span class=\"tadv-color\" style=\"color:#0071a1\"><strong><em>International Journal of Applied Earth Observation and Geoinformation, Elsevier<\/em><\/strong><\/span><br> [pdf][<a rel=\"noreferrer noopener\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1569843224000396?utm_campaign=STMJ_219742_AUTH_SERV_PA&amp;utm_medium=email&amp;utm_acid=251959808&amp;SIS_ID=&amp;dgcid=STMJ_219742_AUTH_SERV_PA&amp;CMX_ID=&amp;utm_in=DM447105&amp;utm_source=AC_\" target=\"_blank\"><strong>journal link<\/strong><\/a>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/09\/jag2023.png\" alt=\"\" class=\"wp-image-1856 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/09\/jag2023.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/09\/jag2023-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J28] <em>Jing Li , Dong Chen, Fan Hu, Yuliang Wang, Peng Li and Jiju Peethambaran<\/em><br>\u200b<strong>&#8220;Shape Preserving Mesh Decimation for 3D Building Modeling&#8221;<\/strong>, <span class=\"tadv-color\" style=\"color:#0071a1\"><strong><em>International Journal of Applied Earth Observation and Geoinformation, Elsevier.<\/em><\/strong><\/span><br>[<strong>pdf<\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1569843223004478\" target=\"_blank\">journal Link<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2023<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/igarss2023_2.png\" alt=\"\" class=\"wp-image-1735 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/igarss2023_2.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/igarss2023_2-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[C16] <em>Vivek Kamra, Prachi Kudeshia, Somaye Arabinaree, Dong Chen, Yasushi Akiyama and Jiju Peethambaran,<\/em><br>\u200b<strong>&#8220;Feature Preserving Decimation of Urban Meshes&#8221;<\/strong> <em><strong><span class=\"tadv-color\" style=\"color:#0071a1\">International Geoscience &amp; Remote Sensing Symposium (IEEE IGARSS 2023) <\/span><\/strong><\/em>,Pasadena, California, July 2023<br>[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ESygtqjMqzZBtt5nZv5RAKYBEV1tUosasDDxzjul2Sxreg?e=eTlKtM\" target=\"_blank\">pdf<\/a><\/strong>][<a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/10282299\" target=\"_blank\"><strong>IEEE Link<\/strong><\/a>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ESfAakouALtLlgpTEJf00SABrkvjXNtPtchjGXCWbNnmoQ?e=ilAhgd\" target=\"_blank\">poster<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/igars2023_1.png\" alt=\"\" class=\"wp-image-1730 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/igars2023_1.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/igars2023_1-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[C15] <em>Sumesh Thakur, Prachi Kudeshia, Somaye Arabinaree, Dong Chen and Jiju Peethambaran,<\/em><br>\u200b<strong>&#8220;GAGAT: A Global Aware Graph Attention Network for 3D Classification and Segmentation&#8221;<\/strong> <em><strong><span class=\"tadv-color\" style=\"color:#0071a1\">International Geoscience &amp; Remote Sensing Symposium (IEEE IGARSS 2023) <\/span><\/strong><\/em>, Pasadena, California, July 2023 <br>[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ETAh6ukKZ6NEnRPvkPDigH4BVS-a4zNt1hCiaR5Bwpzg2g?e=pacHpO\" target=\"_blank\">pdf<\/a><\/strong>][<a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/10282631\" target=\"_blank\"><strong>IEEE Link<\/strong><\/a>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ESAHSQCkp9dLrQm9V-Vr7LMBnx-pLK2VKzj1ubsq1hgb3w?e=5xwpkv\" target=\"_blank\">ppt<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/crv_2023.png\" alt=\"\" class=\"wp-image-1751 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/crv_2023.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/04\/crv_2023-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[C14] <em>Nikolaus Kollo, Yasushi Akiyama and Jiju Peethambaran,<\/em><br>\u200b<strong>&#8220;Enhancing Satellite Trail Detection in Night Sky Imagery with Automatic Salience Thresholding&#8221;<\/strong> <em><strong><span class=\"tadv-color\" style=\"color:#0071a1\">Conference on Robots and Vision (CRV 2023)<\/span> <\/strong><\/em>, Montreal, June 2023<br>[<a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EXWkoLiFJm5OjkepIY5R_7YB2lDJMMVRvxbLVHaSdYlKdw?e=B2N5oS\" target=\"_blank\"><strong>pdf<\/strong><\/a>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:i:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbOJGVzOIQJMngmGR5mvbr0BxzVwuVMFRHFW0UtY4_A6fQ?e=b3wQiM\" target=\"_blank\">poster<\/a><\/strong>][<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.ieeecomputersociety.org\/10.1109\/CRV60082.2023.00040\" target=\"_blank\"><strong>IEEE Link<\/strong><\/a>][<a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/nikolauskay\/AST-Algorithm\/tree\/main\" target=\"_blank\"><strong>code<\/strong><\/a>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/02\/teaser.png\" alt=\"\" class=\"wp-image-1707 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/02\/teaser.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2023\/02\/teaser-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J27] <em>Dong Chen , Xianghong Li, Fan Hu, P. Takis Mathiopoulos, Shaoning Di, Mingming Sui, and Jiju Peethambaran<\/em><br>\u200b<strong>&#8220;EDPNet: A Novel Encoding-Decoding Network with Pyramidal Representation for Semantic Image Segmentation&#8221;<\/strong>, <span style=\"color:#0071a1\" class=\"tadv-color\"><strong><em>Sensors<\/em><\/strong><\/span> <strong><br>[<strong><a href=\"https:\/\/www.mdpi.com\/1424-8220\/23\/6\/3205\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a href=\"https:\/\/www.mdpi.com\/1424-8220\/23\/6\/3205\" target=\"_blank\" rel=\"noreferrer noopener\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/www.mdpi.com\/1424-8220\/23\/6\/3205\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>]<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/11\/crater_mars.png\" alt=\"\" class=\"wp-image-1648 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/11\/crater_mars.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/11\/crater_mars-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J26] <em>Dong Chen , Fan Hu, P. Takis Mathiopoulos, Zhenxin  Zhang, and Jiju Peethambaran<\/em><br>\u200b<strong>&#8220;MC-UNet: Martian Crater Segmentation at Semantic and Instance Levels using U-Net-Based Convolutional Neural Network&#8221;<span style=\"color:#0071a1\" class=\"tadv-color\"><em><strong> Remote Sensing <\/strong><\/em><\/span>, <\/strong>Volume 15, Number 1, January 2023<strong><br>[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/266\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/266\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/266\" target=\"_blank\">bibtex<\/a><\/strong>]<\/strong><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2022<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:25% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/11\/teaser.png\" alt=\"\" class=\"wp-image-1649 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/11\/teaser.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/11\/teaser-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J25] <em>Vivek kamra , Prachi Kudeshia, Somaye ArabiNaree, Dong Chen, Yasushi Akiyama and Jiju Peethambaran<\/em><br>\u200b<strong>&#8220;Lightweight Reconstruction of Urban Buildings: Data Structures, Algorithms and Future Directions&#8221;<\/strong> <span class=\"tadv-color\" style=\"color:#0071a1\"><em><strong>IEEE Journal of Selected Topics in Applied Earth Observation<\/strong><\/em><strong><em>s and Remote Sensing,<\/em><\/strong> <\/span><br>Vollume 16, December 2022, pp. 902-917<br> [<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=10002301\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/10002301?source=authoralert\" target=\"_blank\">journal link<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:25% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/07\/eccv2022.png\" alt=\"\" class=\"wp-image-1586 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/07\/eccv2022.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/07\/eccv2022-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[T2\/C13] <em>Stefan Ohrhallinger, Amal Dev Parakkat, and Jiju Peethambaran,<\/em><br>\u200b<strong>&#8220;Outline and Shape Reconstruction in 2D&#8221;<\/strong> <em><strong><span style=\"color:#0071a1\" class=\"tadv-color\">ECCV 2022<\/span> <\/strong><\/em>, Tutorial, October 2022<br>[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/eccv2022.ecva.net\/program\/tutorial-list\/\" target=\"_blank\">ECCV link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/users.cg.tuwien.ac.at\/stef\/eccv2022tutorial\/ECCV2022Tutorial-Shape2D.pdf\" target=\"_blank\">ppt<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EYquUjrHae5Cv537e3B7x8cBR1wgc-ZvTi0KDA3o9COYKw?e=3eahqF\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/users.cg.tuwien.ac.at\/stef\/eccv2022tutorial\/\" target=\"_blank\">Tutorial page<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 25% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-1537 size-full\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/04\/Slide1.png\" alt=\"\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/04\/Slide1.png 902w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/04\/Slide1-300x239.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/04\/Slide1-768x613.png 768w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C12] <em>Sumesh Thakur, Bivash Pandey, Jiju Peethambaran and Dong Chen,<\/em><br>\u200b<strong>&#8220;A Graph Attention Network for Object Detection from Raw LiDAR Data&#8221;<\/strong> <em><strong><span class=\"tadv-color\" style=\"color: #0071a1;\">International Geoscience &amp; Remote Sensing Symposium (IEEE IGARSS 2022)<\/span> <\/strong><\/em>, July 2022 <br>[<strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9883734\" target=\"_blank\" rel=\"noreferrer noopener\">IEEE link<\/a><\/strong>][<strong><span class=\"tadv-color\" style=\"color: #0071a1;\"><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbB1uF2kwiRFt8EPGBFHq0cBOFi40sfhXD5Ab7ArolJkwQ?e=mJdGR1\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/span><\/strong>][<strong><span class=\"tadv-color\" style=\"color: #0071a1;\"><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EWaRMF1WDE9KsCZ-cA2sxD4Bbirrt9BRvzDBzloDRyT6ZQ?e=2WwepZ\" target=\"_blank\" rel=\"noreferrer noopener\">ppt<\/a><\/span><\/strong>][<strong><span class=\"tadv-color\" style=\"color: #0071a1;\">bibtex<\/span><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:v:\/g\/personal\/jiju_poovvancheri_smu_ca\/EU3_lneaVt9LlfWhTrozClsBRwil7c7qP4VSB-T0hWmVDw?e=3revPr\" target=\"_blank\" rel=\"noreferrer noopener\">video<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:25% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/01\/tut2022-1.png\" alt=\"\" class=\"wp-image-1514 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/01\/tut2022-1.png 902w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/01\/tut2022-1-300x239.png 300w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/01\/tut2022-1-768x613.png 768w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[T1\/C11] <em>Stefan Ohrhallinger, Amal Dev Parakkat, and Jiju Peethambaran, <\/em><br>\u200b<strong>&#8220;Shape Reconstruction in 2D: From Theory to Practice&#8221;<\/strong> <em><strong><span style=\"color:#0071a1\" class=\"tadv-color\">Eurographics 2022<\/span> <\/strong><\/em>, Tutorial, April 2022<br>[<span style=\"color:#0071a1\" class=\"tadv-color\"><a rel=\"noreferrer noopener\" href=\"https:\/\/diglib.eg.org\/handle\/10.2312\/egt20221058\" target=\"_blank\"><strong>EG link<\/strong><\/a><\/span>][<span style=\"color:#0071a1\" class=\"tadv-color\"><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:p:\/g\/personal\/jiju_poovvancheri_smu_ca\/EeJyfMKD_5JPvDMfXqfGUioBCmmC3H7c9GJcnQxmZ96P_g?e=vjkszg\" target=\"_blank\">ppt<\/a><\/strong><\/span>][<strong><span style=\"color:#136e95\" class=\"tadv-color\"><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbMhKVMs3shPiTES5PL9mkAB6RSa3XByREgXArVfxQP-eg?e=aEzT21\" target=\"_blank\">pdf<\/a><\/span><\/strong><span style=\"color:#03263B\" class=\"tadv-color\">][<\/span><strong><span style=\"color:#136e95\" class=\"tadv-color\"><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EeaXg-UefTROi_u09Sn1wGUBF-Dd56eSySV9GrdcU1rnGA?e=EwqyC0\" target=\"_blank\">course notes<\/a><\/span><\/strong><span style=\"color:#03263B\" class=\"tadv-color\">][<\/span><span style=\"color:#0071a1\" class=\"tadv-color\"><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/users.cg.tuwien.ac.at\/stef\/curvebenchmark\/\" target=\"_blank\">Project page<\/a><\/strong><\/span><span style=\"color:#03263B\" class=\"tadv-color\">][<\/span><span style=\"color:#0071a1\" class=\"tadv-color\"><strong>bibtex<\/strong><\/span><span style=\"color:#03263B\" class=\"tadv-color\">][<\/span><strong><span style=\"color:#0071a1\" class=\"tadv-color\"><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:v:\/g\/personal\/jiju_poovvancheri_smu_ca\/EWjZr13-tZhPqtjhfyPwI_8B2_tvFRaNfXQCHO1qYyX82Q?e=YkeB3T\" target=\"_blank\">teaser<\/a><\/span><\/strong>]<\/p>\n\n\n\n<p><\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2021<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2021\/11\/rs22teaser.png\" alt=\"\" class=\"wp-image-1420 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J24] <em>Dong Chen , Guiqiu Xiang, Jiju Peethambaran, Liqiang Zhang , Jing Li, and Fan Hu<\/em><br>\u200b<strong>&#8220;AFGL-Net: Attentive Fusion of Global and Local Deep Features for Building Facade Parsing&#8221;<\/strong> <em><strong><span style=\"color:#0071a1\" class=\"tadv-color\">Remote Sensing<\/span> <\/strong><\/em>, Volume 13, Number 24, December 2021<br>[<span style=\"color:#0071a1\" class=\"tadv-color\"><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/24\/5039\" target=\"_blank\">pdf<\/a><\/strong><\/span>][<span style=\"color:#0071a1\" class=\"tadv-color\"><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/24\/5039\" target=\"_blank\">journal link<\/a><\/strong><\/span>][<span style=\"color:#0071a1\" class=\"tadv-color\"><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/24\/5039\" target=\"_blank\">bibtex<\/a><\/strong><\/span>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2021\/06\/criticalpoints_2teaser.png\" alt=\"\" class=\"wp-image-1282 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J23] <em>Dong Chen, Jing Li<\/em>,<em> Shaoning Di<\/em>, <em>Jiju Peethambaran, Guiqiu Xiang, Lincheng Wan, and Xianghong Li,<\/em><br>\u200b<strong>&#8220;Critical Points Extraction from Building Facades by Analyzing Gradient Structure Tensor&#8221;&nbsp;<\/strong> <span style=\"color:#1182b3\" class=\"tadv-color\"><strong><em>Remote Sensing<\/em><\/strong><\/span>, Volume 13, Number 16, August 2021 <br>[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3146\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3146\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3146\" target=\"_blank\">bibtex<\/a><\/strong>] <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/11\/teaser1.png\" alt=\"\" class=\"wp-image-1023 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J22\/C10] <em>Stefan Ohrhallinger, Jiju Peethambaran, Amal Dev Parakkat, Tamal Dey and Ramanathan Muthuganapathy,<\/em><br>\u200b<strong>&#8220;2D Points Curve Reconstruction Survey and Benchmark&#8221;&nbsp;<\/strong><span style=\"color:#1182b3\" class=\"tadv-color\"> <strong><em>Eurographics (EG 2021),  State-of-the-Art Report (STAR),  Computer Graphics Forum<\/em><\/strong><\/span>, <br> [<a rel=\"noreferrer noopener\" href=\"https:\/\/users.cg.tuwien.ac.at\/stef\/curvebenchmark\/\" target=\"_blank\"><strong>project page<\/strong><\/a>][<a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EZN-9fiAMW5Dof0iruEGurABwI-Gm2-JZh5Is0lQHNB97Q?e=YckaWQ\" target=\"_blank\"><strong>pdf<\/strong><\/a>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/onlinelibrary.wiley.com\/journal\/14678659\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EZAV3oHksnVCsJj0w-AGRCMBzqOfiSH_VyMOXiQl_4VauA?e=UKczFB\" target=\"_blank\">bibtex<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/gitlab.com\/stefango74\/curve-benchmark\/\" target=\"_blank\">code<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EYmWYYn8319Nn6zrEBBdf14BA_e0HzpbNY4MgQFNGWFDwg?e=Z9iJwy\" target=\"_blank\">ppt<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.youtube.com\/watch?v=0lPybx24l8s\" target=\"_blank\">video<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns: 24% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-1114 size-full\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/12\/Slide1.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J21\/C9] <em>Sheldon Taylor, Owen Sharpe and Jiju Peethambaran, <\/em><br>\u200b<strong>&#8220;Prime Gradient Noise&#8221;&nbsp;<\/strong> <em><b><span class=\"tadv-color\" style=\"color: #1182b3;\">Computational Visual <\/span><\/b><\/em><strong><em><span class=\"tadv-color\" style=\"color: #1182b3;\">Media Conference (CVM 2021), Computational Visual Media Journal<\/span><\/em><\/strong>, Springer, 2021, <br>[<a href=\"https:\/\/cs.smu.ca\/~jiju\/index.php\/research\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>project page<\/strong><\/a>][<strong><a href=\"https:\/\/rdcu.be\/chuQf\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>] [<strong><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s41095-021-0206-z\" target=\"_blank\" rel=\"noreferrer noopener\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbHPJfH3E8xGsHiICso9nhoBgLk2Gv8PxqPxFhojL4GPew?e=cAyXTs\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>][<a href=\"https:\/\/github.com\/jijup\/OpenSN\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>code<\/strong><\/a>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EcH0iSl_uqhOkksfHVWRiGMBQA_7yYdscB9KhwLzXSCG5w\" target=\"_blank\" rel=\"noreferrer noopener\">ppt<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:v:\/g\/personal\/jiju_poovvancheri_smu_ca\/ERjclitJm3xLkgb_INt7VCcBtTUEgdnDnVuHav4T7yAQWw\" target=\"_blank\" rel=\"noreferrer noopener\">video<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/12\/RS2021.png\" alt=\"\" class=\"wp-image-1069 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J20] <em>Shaobo Xia, Dong Chen, Jiju Peethambaran, Pu Wang and Sheng Xu,<\/em><br>\u200b<strong>&#8220;Point Cloud Inversion: A Novel Approach for the Localization of Trees in Forests from TLS Data&#8221;<\/strong>, <span style=\"color:#1182b3\" class=\"tadv-color\"><strong><em>Remote Sensing<\/em><\/strong><\/span>, Volume 13, Number 3, January 2021,                                                                          [<a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ET6SzsieEJxEuTE7SCqmEQ4BJ83vLEUAa7I8PKOT_1V1lA?e=hHrkcj\" target=\"_blank\"><strong>pdf<\/strong><\/a>][<a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/3\/338\" target=\"_blank\"><strong>journal link<\/strong><\/a>][<a rel=\"noreferrer noopener\" href=\"https:\/\/www.mdpi.com\/2072-4292\/13\/3\/338\" target=\"_blank\"><strong>bibtex<\/strong><\/a>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-3.png\" alt=\"\" class=\"wp-image-876 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J19] <em>Zhen Cao, Dong Chen, Jiju Peethambaran,  Zhenxin Zhang, Liqiang Zhang and Shaobo Xia <\/em><br> \u200b<strong>&#8220;Tunnel Reconstruction with Block Level Precision via a Hybrid Approach Combining Data-driven Segmentation and Model-driven Assembly&#8221;&nbsp; <\/strong><span style=\"color:#1182b3\" class=\"tadv-color\"><strong><em>IEEE Transactions on Geoscience and Remote Sensing<\/em><\/strong><\/span> , 2021 <br> [<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbIUyfZ3VCJGnPaDUPFzWDkBTHUbY6B6_FtZuDJYBCgXuQ?e=dETL3G\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9319523\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=36\" target=\"_blank\">bibtex<\/a><\/strong>]                                                     <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-2.png\" alt=\"\" class=\"wp-image-875 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J18] <em>Safeer Babu Thayyil, Jiju Peethambaran and Ramanathan Muthuganapathy <\/em> <br> <strong>&#8220;A Sampling Type Discernment Approach towards Reconstruction of a Point Set in R<\/strong><sup><strong>2<\/strong><\/sup><strong>&#8220;<\/strong>                                                                                                                                                                         <span style=\"color:#1182b3\" class=\"tadv-color\"><strong><em>Computer Aided Geometric Design<\/em><\/strong><\/span>, Elsevier , Volume 84, January 2021 <br> [<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EYovt_J66klGrCGs9defjC8BIM74hOHDWVUT9Rq-coi1FQ?e=nO2dYZ\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0167839620301400\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/Eedj3dGctWlCtBvD5OnmqFEB3IRZ2FeiA3EZh0j8pLLUSQ?e=qUxQWL\" target=\"_blank\">bibtex<\/a><\/strong>][<a href=\"https:\/\/github.com\/agcl-mr\/Reconstruction-Discern\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>code<\/strong><\/a>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2020<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"493\" src=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/04\/teaser.png\" alt=\"\" class=\"wp-image-1541 size-full\" srcset=\"https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/04\/teaser.png 600w, https:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2022\/04\/teaser-300x247.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p>[P2] <em>Sumesh Thakur and Jiju Peethambaran <\/em><strong>&#8221; Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection&#8221;<\/strong> <strong><em><span style=\"color:#1182b3\" class=\"tadv-color\">ArXiv Preprint<\/span><\/em><\/strong> ,  2020<br>\u200b\u200b[<strong>pdf<\/strong>][<strong>journal link<\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:25% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-4.png\" alt=\"\" class=\"wp-image-877 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[P1] <em>Aby Thomas, Adarsh Sunilkumar, Shankar Shylesh, Subhasree Methirumangalath, Dong Chen, Jiju Peethambaran <\/em><strong>&#8221; TCM-ICP: Transformation Compatibility Measure for for Registering Multiple LiDAR Scans&#8221;<\/strong> <span style=\"color:#1182b3\" class=\"tadv-color\"><strong><em>ArXiv Preprint<\/em><\/strong> <\/span>, 2020<br>\u200b\u200b[<strong>pdf<\/strong>][<strong>journal link<\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1.png\" alt=\"\" class=\"wp-image-872 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J17] <em>Bivash Pandey, Sumesh Thakur, Hemanchal Joshi, Ayusha Pradhanga, Yasushi Akiyama and Jiju Peethambaran <\/em><strong>&#8221; Towards Video based Collective Motion Analysis through Shape Tracking and Matching&#8221;<\/strong>                                                                                                                                                                                       <span style=\"color:#1182b3\" class=\"tadv-color\"><strong><em>IET Electronic Letters<\/em><\/strong><\/span> , Volume 56, Issue 17, pp. 881-884, August 2020     <br>\u200b\u200b[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ERTkwqjbnmlLuMlHSutSXrIBPmbTtBcRc9ynwjFbBM0Ozg?e=fjBUHp\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9176862\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EW71LyKvOohDqtmgKklUapgBO5SGuvK5gVH8gL7dUcVgZg?e=LJNlFa\" target=\"_blank\">bibtex<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:p:\/g\/personal\/jiju_poovvancheri_smu_ca\/EZwa6lbSJjpMk1yabf1PD2oBghHmv5g-3z_Xw9vti3g-Sg?e=dM1gQy\">ppt<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-1.png\" alt=\"\" class=\"wp-image-874 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J16\/C8] <em>Zesheng Jia, Anjali Jose, Subhasree Methirumangalath, Jiju Peethambaran and Ramanathan Muthuganapathy <\/em>                                                                           <strong>&#8220;Maintaining the Spatial Proximities of Objects under Motion&#8221;,<\/strong> <a rel=\"noreferrer noopener\" href=\"http:\/\/www.cad-conference.net\/files\/CAD20\/CAD20-barcelona.html#.Xw-j3ChKguU\" target=\"_blank\"><strong><em><span style=\"color:#1182b3\" class=\"tadv-color\">Computer Aided Design &amp; Applications<\/span><\/em><\/strong>, <\/a>Volume 18, Number 2, pp. 368-382<a rel=\"noreferrer noopener\" href=\"http:\/\/www.cad-conference.net\/files\/CAD20\/CAD20-barcelona.html#.Xw-j3ChKguU\" target=\"_blank\"> <\/a>(<a rel=\"noreferrer noopener\" href=\"http:\/\/www.cad-conference.net\/files\/CAD20\/CAD20-barcelona.html#.Xw-j3ChKguU\" target=\"_blank\"><strong><em><span style=\"color:#0071a1\" class=\"tadv-color\">CAD&#8217; 2020<\/span><\/em><\/strong>,<\/a> Barcelona, Spain (virtual conference))                                                         [<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EdZYbIVZVTlOumZuNypOYKwBa2Pn0MXnSeVLh-3jbiGe8g?e=tzRuEV\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"http:\/\/www.cad-journal.net\/files\/vol_18\/CAD_18(2)_2021_368-382.pdf\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EXImqMDrGohLkL6Pe3NEydABCKtltordSxtAbaS3jw5N2A?e=zncFpv\" target=\"_blank\">bibtex<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EUdV8wsmXINNlXuGrRbpisABCWKAMlO1YHiqUczUi25SuA?e=VvuYkQ\" target=\"_blank\">ppt<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:24% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-5.png\" alt=\"\" class=\"wp-image-878 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p> [J15]  <em>Guofeng Tong, Yong Li , Dong Chen,  Shaobo Xia, Jiju Peethambaran and Yuebin Wang<\/em><br> \u200b<strong>&#8220;Multi-view Features Joint Learning with Label and  Local Distribution Consistency for Point Cloud  Classification&#8221;&nbsp;<\/strong><br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">Remote Sensing<\/span><\/strong><\/em><span style=\"color:#1f6684\" class=\"tadv-color\">,<\/span>  Volume 12, Issue 1, January, 2020<br> \u200b\u200b[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EW5MfUp4aYFAksEMSCmr6pkBQlG_F9Er4dPBmnx7cGOcxA?e=nYOnQj\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<a rel=\"noreferrer noopener\" aria-label=\"journal link (opens in a new tab)\" href=\"https:\/\/www.mdpi.com\/2072-4292\/12\/1\/135\" target=\"_blank\"><strong>journal link<\/strong><\/a>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EYjnK5tzcclIn0IWDKL8OyoBxdtEfeeAXinj5I0VZgZRsA?e=MCaA2v\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>]  <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2019<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-7.png\" alt=\"\" class=\"wp-image-880 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p> [J14\/C7] <em>Daniel Rebain, Baptiste Angles,&nbsp;\u200bJulien Valentin,&nbsp;Nicholas Vining,&nbsp;Jiju Peethambaran, Shahram Izadi&nbsp; and Andrea Tagliasacchi,<br>\u200b<\/em>\u200b&#8221;<strong>LSMAT: Least Square Medial Axis Transform<\/strong>&#8220;,&nbsp;<em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">Symposium on Geometry Processing&nbsp;<\/span><\/strong><\/em><span style=\"color:#1182b3\" class=\"tadv-color\"><em><strong>(SGP 2019)<\/strong><\/em>, <\/span><span style=\"color:#03263B\" class=\"tadv-color\">Milan, Italy, 8-10 July 2019.<\/span><br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">Computer Graphics Forum<\/span><\/strong><\/em>,&nbsp; The &nbsp;Eurographics Association and John Wiley &amp; Sons Ltd., Volume 38, Number 6, pp. 5-18, September 2019<br>\u200b[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/Ea_VQMYbCUFBkGnNRC79UYEBVVWXrBq26D-LBYIFEbnhyw?e=CyL4Pk\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1111\/cgf.13599\" target=\"_blank\">journal link<\/a><\/strong><a rel=\"noreferrer noopener\" href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1111\/cgf.13599\" target=\"_blank\">]<\/a>[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EVnbbpEVx1VImYRMH0XVu2sBhmNw2q0MY7eRmiybd13jCg?e=x8ZRy8\" target=\"_blank\">bibtex<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EQ8v80-RikpJkVYITPeJGdsBahycNiDN6amUqRzcYTlpgg?e=wGTBvG\" target=\"_blank\">ppt<\/a><\/strong>]<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-8.png\" alt=\"\" class=\"wp-image-881 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J13] <em>Jianli Du, Dong Chen, Ruisheng Wang, Jiju Peethambaran, P. Takis Mathiopoulos, Lei Xie, and Ting Yun<\/em>,<br> \u200b&nbsp;<strong>&#8220;A Novel Framework for 2.5D Building Contouring from Large-Scale Residential Scenes&#8221;&nbsp;<\/strong><br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">IEEE Transactions on Geoscience and Remote Sensing<\/span><\/strong><\/em>, Volume 57, Issue 6, pp. 4121-4145, June 2019<br> \u200b\u200b[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ESh5tgc80iRLj_9e6fXFtEQBdIe5J3AR0msh9XC5jdUYMQ?e=UCEa26\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8681075\" target=\"_blank\">journal link<\/a><\/strong><a rel=\"noreferrer noopener\" href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1111\/cgf.13599\" target=\"_blank\">]<\/a>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EalyEbuQ171DrXjkKTPl_ZgBTvwQ862dkpSfS17iTTYf5A?e=rcgcvM\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>] <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 23% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-882 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-9.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J12] <em>Jiju Peethambaran, Amal Dev Parakkat, Andrea Tagliasacchi, Ruisheng Wang and Ramanathan Muthuganapathy,<\/em><br>\u200b&#8221;<strong>Incremental Labeling of Voronoi Vertices for Shape Reconstruction<\/strong>&#8220;,<br><em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">Computer Graphics Forum<\/span><\/strong><\/em>,&nbsp; &nbsp;The &nbsp;Eurographics Association and John Wiley &amp; Sons Ltd.,&nbsp;Volume 38, Number 1, pp. 521-536, March 2019<br>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/Edz_rt3HulNAn38jf5W8X_UB31ziPXN0BIvhwCyxt_xrLA?e=R7gcm2\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1111\/cgf.13589#\" target=\"_blank\" rel=\"noreferrer noopener\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/Ed5HUnrLvB9Oux4j1VQc9ZcBxWkFEKEqSdUghPliCMcssA?e=zn0CI6\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>][<strong><a href=\"https:\/\/github.com\/jijup\/VoronoiCurve\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2018<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-10.png\" alt=\"\" class=\"wp-image-885 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J11] <em>Yibo Liu, Zhenxin Zhang, Ruofei Zhong, Dong Chen, Jiju Peethambaran, Chuqun Chen, Lan Sun,<br>&#8220;<\/em><strong>Multi-level Building Detection Framework in Remote Sensing Images Based on Convolutional Neural Networks<\/strong><em>&#8220;,<\/em><br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing<\/span>,&nbsp;<\/strong><\/em><strong>\u200b<\/strong>Volume 11, Issue 10, pp.&nbsp;3688-3700,&nbsp;October 2018<br>\u200b[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EXxS2jFK6FtEoAdG6IbQWAcBU2G9XLiv70EE5EVIZbxOxQ?e=uO6qtt\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8458225?arnumber=8458225&amp;source=authoralert\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbCvXemh1GhGmWquR0n4HtkBr40ZKxDSnYL5ju2fm7TZmQ?e=cxPcNC\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>] <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-11.png\" alt=\"\" class=\"wp-image-886 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J10] <em>Huan Ni, Xiangguo Lin, Jixian Zhang, Dong Chen, Jiju Peethambaran,<br>&#8220;<\/em><strong>Joint Clusters and Iterative Graph Cuts for ALS Point Cloud Filtering<\/strong><em>&#8220;,<\/em><br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing<\/span><\/strong>,&nbsp;<\/em>Volume 11, Issue 3, pp. 990-1004, March 2018.<br>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EVmcbS5-M31Nrjrvy8D8VWcBZkA8LqChvSS0a1AEqxCRFw?e=GXxDNy\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8278263\/\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EWNfUDbRW6xGvm5PZ8Ab_SgBxT63n2m4iYE1ylneU_cA_w?e=yEAjGX\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>] <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-12.png\" alt=\"\" class=\"wp-image-887 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J9] <em>Dong Chen*, Jiju Peethambaran*, Zhenxin Zhang,<\/em><br>&#8220;<strong>A Supervoxel-based Vegetation Classification via Decomposition and Modelling of Full-waveform Airborne Laser Scanning Data<\/strong>&#8220;,&nbsp;<br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">International Journal of Remote Sensing<\/span><\/strong><\/em>, Taylor &amp; Francis, Volume 39, Number 9, pp. 2937-2968, Feb 2018.<br>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EeCuaK3xXqVDuVDJa5ErwKgB0BLQo4aBFxobb_5vhKkrNA?e=o2Alzs\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/01431161.2018.1437293\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EQPB_VYmZoVOgCb82AVCL8QByk-cUA7yQnZjk_0HD5XHnQ?e=0TiEw6\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>] (*joint first authors)<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-13.png\" alt=\"\" class=\"wp-image-888 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J8] <em>Ruisheng Wang*, Jiju Peethambaran* and Dong Chen<\/em>,<br>&#8220;<strong>LiDAR Point Clouds to 3D Urban Models: A Review<\/strong>&#8220;,&nbsp;<br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing<\/span><\/strong><\/em>, Volume 11, Issue 2 , pp. 606-627, Jan 2018. [<strong><span style=\"color:#ff6663\" class=\"tadv-color\">Listed  as one of the &#8220;Popular Articles&#8221; on&nbsp;<\/span><\/strong><em><strong><span style=\"color:#ff6663\" class=\"tadv-color\">J-STARS<\/span><\/strong><\/em><strong><span style=\"color:#ff6663\" class=\"tadv-color\">&nbsp;website in April 2018<\/span><\/strong> ]<br>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EcgQ4L05StxOo7ThCa14cI8BdSFbBOsKUQjj4DhXUrBmCA?e=qPfUwk\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8253517\/\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EQEuAaoOl4tCqOK57QPqwEkBh5P91hrWHXyLaHjD5c5LTQ?e=OaG9jf\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>] (* joint first authors)  <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2017<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-14.png\" alt=\"\" class=\"wp-image-889 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J7] <em>Dong Chen, Ruisheng Wang and Jiju Peethambaran<\/em>, &#8220;<strong>Topologically-aware Building Rooftop Reconstruction from Airborne Laser Scanning Point Clouds<\/strong>&#8220;,<br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">IEEE Transactions on Geoscience and Remote Sensing<\/span><\/strong><\/em>,&nbsp; Volume 55, Issue 12,&nbsp; pp.&nbsp;7032&nbsp;&#8211; 7052,&nbsp;December 2017.<br>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ETMW43jmJpdFmsD_h8Sq2QsBsFcYHGyPDfC4pfaCrk6KfQ?e=eIGobd\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<a rel=\"noreferrer noopener\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8025472\/\" target=\"_blank\"><strong>journal link<\/strong><\/a>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EZ2t6xYrz7pCrVnjzFp5O7gBf-xV-piSQ6RQFLum66tkhg?e=EfpeDJ\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>] <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-15.png\" alt=\"\" class=\"wp-image-890 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[J6] <em>Jiju Peethambaran and Ruisheng Wang,<\/em><br>\u200b&#8221;<strong>Enhancing Urban Facades via LiDAR based Sculpting<\/strong>&#8220;,<br><em><strong><span style=\"color:#1182b3\" class=\"tadv-color\">Computer Graphics Forum<\/span><\/strong><\/em>, &nbsp; The &nbsp;Eurographics Association and John Wiley &amp; Sons Ltd.,&nbsp; Volume 36, Number 8, pp. 511-528, Dec 2017.&nbsp;<br>\u200b[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/jijupeethambaran.weebly.com\/cgf_17.html\" target=\"_blank\">webpage<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EZoNnS3exo9Ot6MeWGhqjtoB_GJr2H6lW4-3PZXqVDG46A?e=Ocm1re\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/cgf.13097\/full\" target=\"_blank\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbeTI37ugaRHpb_YVwWbghgBj-uRV-nU2-MgFit6udJg-Q?e=VGKxwg\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>] <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2016<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-892 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-16.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p><span class=\"tadv-color\" style=\"color: #ff6663;\"> \u200b<\/span>[J5] <em>Jiju Peethambaran, Amal Dev Parakat and Ramanathan Muthuganapathy,&nbsp;<\/em><br>&#8220;<strong>An Empirical Study on Randomized Optimal Area Polygonization of Planar Point Sets&#8221;<\/strong>,&nbsp;<br><em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">ACM Journal of Experimental Algorithmics<\/span><\/strong><\/em>, &nbsp;Volume 21, Issue 1, April 2016 .<br>\u200b[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ES_ugRvTO9lBmqDhvmErGxUBzEE8DEMoMhRR2HbqrA3Ang?e=ZZoTEp\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2896849\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>journal link<\/strong><\/a>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EeJfBjCfBg9ChAz_JWLRdtgBIOstEWjm_0S3Vn5o4mXxSw?e=Cz6wrn\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-894 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-17.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[B1] <em>Jiju Peethambaran and &nbsp;Ramanathan Muthuganapathy,<\/em> &#8220;<strong>Automatic Reconstruction of Triangular Meshes from Point Sets<\/strong>&#8220;,&nbsp; &nbsp;Lambert Academic Publishing, March 2016<br>[based on my Doctoral dissertation]<br>PhD thesis: &#8220;Non-parametric Shape Reconstruction and Volume Constrained Polyhedronizations of Point Sets&#8221;, PhD thesis (May, 2015)<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2015<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns:23% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-18.png\" alt=\"\" class=\"wp-image-896 size-full\"><\/figure><div class=\"wp-block-media-text__content\">\n<p>[C6] <em>Jiju Peethambaran, Amal Dev Parakkat and Ramanathan Muthuganapathy,<\/em><br>&#8220;<strong>A Voronoi based Labeling Approach to Curve Reconstruction&nbsp;and Medial Axis Approximation<\/strong>&#8220;,&nbsp;<br>\u200b<em><strong><span style=\"color:#1182b3\" class=\"tadv-color\"><a rel=\"noreferrer noopener\" href=\"https:\/\/cg.cs.tsinghua.edu.cn\/pg2015\/\" target=\"_blank\">Pacific Graphics  (PG 2015)<\/a><\/span><\/strong><\/em><span style=\"color:#1182b3\" class=\"tadv-color\">,<\/span> &nbsp;EG Digital Library, The Eurographics Association, &nbsp;Beijing, China, 7-9 October 2015.<br>[<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EXcOOELaMeBBvn-Pc04ygcQBS5hrh7m-iaW5qTzpCXJA1Q?e=yoxAsB\" target=\"_blank\">pdf<\/a><\/strong>][<strong><a rel=\"noreferrer noopener\" href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EcKf7gUbjnVIumORl9JpKHsBDitTOGgTu4kw9PBphFXXlA?e=p4TsZ8\" target=\"_blank\">bibtex<\/a><\/strong>] <\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 23% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-898 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-19.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J4] <em>Jiju Peethambaran and Ramanathan Muthuganapathy,&nbsp;<\/em><br>&#8220;<strong>A Non-parametric Approach to Shape Reconstruction from Planar Point Sets through Delaunay&nbsp; Filtering<\/strong>&#8220;,&nbsp;&nbsp;&nbsp;<br>\u200b\u200b<em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">Computer Aided Design<\/span><\/strong><span class=\"tadv-color\" style=\"color: #1182b3;\">,<\/span> &nbsp;<\/em>Elsevier<em>,&nbsp;&nbsp;<\/em>Volume 62, pp. 164-175, May 2015<em>.<\/em><br>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ES75AsdBPRdAsAwRdyMuaZUB6XN6bhD2JTFmYNoc7z6MJQ?e=EnWngw\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong>&nbsp;<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010448514002851\" target=\"_blank\" rel=\"noreferrer noopener\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EYESOQiqZ-JPhW0AmI1AP1oBoDWLMx_MWIAwn-JwgNpi_g?e=IBubeS\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>][<strong><a href=\"http:\/\/jijupeethambaran.weebly.com\/uploads\/1\/2\/7\/0\/12702525\/ptsets.rar\">data<\/a><\/strong>][<strong><a href=\"http:\/\/github.com\/jijup\/Shapehull2D\" target=\"_blank\" rel=\"noreferrer noopener\">code<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 23% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-899 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-20.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J3] <em>Jiju Peethambaran, Amal Dev Parakkat and Ramanathan Muthuganapathy<\/em>,<br>&#8220;<strong>A Randomized Approach to Volume Constrained Polyhedronization Problem<\/strong>&#8220;,&nbsp;<br>\u200b<em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">Journal of Computing and Information Science in Engineering<\/span><\/strong>,&nbsp;<\/em>ASME Transactions, Volume 15, Issue 1, March 2015 (Extended version of C3).<br>\u200b[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ET-a_X_W6gREqEhb2LfNawwBczLsuSXv2R7u-iUGmQNaSg?e=69e1Rd\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong><a href=\"http:\/\/ed.iitm.ac.in\/~raman\/asme2ej_R2_Poly.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">&nbsp;<\/a>][<a href=\"http:\/\/computingengineering.asmedigitalcollection.asme.org\/article.aspx?articleID=2090324\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>journal link<\/strong><\/a>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EYnFnEuBzyNPv4RqNzho9uYBPxavNbla-ycQG-ot6plB8w?e=feaGM3\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 22% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-901 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-21.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J2\/C4] <em>Amal Dev,&nbsp;Jiju Peethambaran, Philumon Joseph and Ramanathan Muthuganapathy,<\/em><br>&#8220;<strong>A Graph-based Geometric Approach to Object Contour Extraction from Noisy Digital Binary Images<\/strong>&#8220;,&nbsp;<br><em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">Computer Aided Design &amp; Application<\/span>,&nbsp;<\/strong>&nbsp;<\/em> Volume 12, Issue 4, pp. 403-413, February 2015, (<em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\"><a href=\"http:\/\/www.cadconferences.com\/CAD14_Program.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">CAD&#8217; 2014<\/a><\/span><\/strong><\/em>, Hong Kong, China, 23-26 June&nbsp; 2014)<br>[<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ETAgegI1dTpAtRkC4txn8kEBAOZCGtMjAGxkwKz4HRr-Ig?e=7zQKTV\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][<strong><a href=\"http:\/\/www.tandfonline.com\/doi\/full\/10.1080\/16864360.2014.997636#abstract\" target=\"_blank\" rel=\"noreferrer noopener\">journal link<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EWG-xnbmOylLpz48PCo9dJgBh8gXogN4t5vbDvpUpBns5A?e=Rhg34S\" target=\"_blank\" rel=\"noreferrer noopener\">bibtex<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 23% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-903 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-22.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[J1\/C5] <em>Jiju Peethambaran and Ramanathan Muthuganapathy,&nbsp;<\/em>&#8220;<strong>Reconstruction of Water-tight Surfaces through Delaunay Sculpting<\/strong>&#8220;, &nbsp;<br><a href=\"http:\/\/solidmodeling.org\/2014\/home\/home-callforpapers.html\" target=\"_blank\" rel=\"noreferrer noopener\"><em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">Symposium on Solid and Physical Modeling&nbsp;<\/span><\/strong><span class=\"tadv-color\" style=\"color: #1182b3;\"><strong>(SPM 2014)<\/strong><\/span><\/em>,<\/a> Hong kong, China, 26-28 October 2014.&nbsp;<br><em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">Computer Aided Design<\/span><\/strong>,&nbsp;<\/em>Elsevier<em>,&nbsp;<\/em>Volume 58, January 2015, pp. 62-72&nbsp;.<br>\u200b[\u200b<strong><a href=\"https:\/\/jijupeethambaran.weebly.com\/del_sculpt.html\" target=\"_blank\" rel=\"noreferrer noopener\">web page<\/a><\/strong>][<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/EXwuMTj2T_pGiA02MSD3ot8BPeYm2Y0upBgfHLBIA6fFSA?e=4tay38\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong>][\u200b<strong><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010448514001900\" target=\"_blank\" rel=\"noreferrer noopener\">journal link<\/a><\/strong>][<a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:u:\/g\/personal\/jiju_poovvancheri_smu_ca\/EbSiFYRilmBAmZX5zE4msR4BrDmoW88oKjrt9ngIbnjEPA?e=lID3n4\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>bibtex<\/strong><\/a>][\u200b\u200b<strong><a href=\"https:\/\/github.com\/jijup\/Shapehull\" target=\"_blank\" rel=\"noreferrer noopener\">Git<\/a><\/strong>] [<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/Efb7IHhFNQ1ImdNO7ZA-F74BcLGr8xXXnRJjQ-N1J_NfHA?e=5LtA2H\" target=\"_blank\" rel=\"noreferrer noopener\">ppt<\/a><\/strong>]<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Before 2014<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 23% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-904 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-23.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C3] <em>Jiju Peethambaran, Amal Dev and Ramanathan Muthuganapathy,&nbsp;<\/em><br>\u200b&#8221;<strong>Volume Constrained Polyhedronization of Point Sets in 3-Space&nbsp;<\/strong>&#8220;,&nbsp;<em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\"><a href=\"https:\/\/www.siggraph.org\/event\/sgp-2013\/\" target=\"_blank\" rel=\"noreferrer noopener\">Symposium on Geometry Processing (SGP 2013)<\/a><\/span><\/strong><\/em>, Genoa, Italy, 3-5 July, 2013 (Poster).&nbsp; [<strong><a href=\"https:\/\/smuhalifax-my.sharepoint.com\/:b:\/g\/personal\/jiju_poovvancheri_smu_ca\/ERverUuGO3xJjSqLEFIFSa4BQDH3Lxf7Ts2oL6GbDcBnPQ?e=odaQFN\" target=\"_blank\" rel=\"noreferrer noopener\">pdf<\/a><\/strong><a href=\"http:\/\/jijupeethambaran.weebly.com\/uploads\/1\/2\/7\/0\/12702525\/volume_constrained_polyhedronizations_of_point_sets_in_3-space.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">&nbsp;<\/a>]&nbsp;\u200b\u200b<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 24% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-905 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-24.png\" alt=\"\"><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C2] <em>Jiju Peethambaran, and Ramanathan Muthuganapathy, <\/em><\/p>\n<p>\u200b&#8221;<strong>A Graph Theoretic Approach for the Construction of Concave hulls of Point Sets in R2<\/strong>&#8220;,&nbsp;<strong><em><span class=\"tadv-color\" style=\"color: #1182b3;\"><a href=\"http:\/\/www.cad-conference.net\/archive.html#.Xw-iWihKguU\" target=\"_blank\" rel=\"noreferrer noopener\">CAD&#8217; 2012<\/a><\/span><\/em><\/strong><em><strong>,<\/strong><\/em> Niagara falls, Canada, 11-14 July , 2012.&nbsp;\u200b\u200b<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-media-text alignwide\" style=\"grid-template-columns: 24% auto;\">\n<figure class=\"wp-block-media-text__media\"><img decoding=\"async\" loading=\"lazy\" width=\"902\" height=\"720\" class=\"wp-image-906 size-full\" src=\"http:\/\/cs.smu.ca\/~jiju\/wp-content\/uploads\/2020\/07\/Slide1-25.png\" alt=\"\" \/><\/figure>\n<div class=\"wp-block-media-text__content\">\n<p>[C1] <em>Annappa B, Jiju P, K Chandrashekaran and K.C Shet,\u00a0<\/em><br \/>\u200b&#8221;<strong>Petrinet based Verification of a Cooperative Workflow Model\u00a0<\/strong>&#8220;, \u00a0<em><strong><span class=\"tadv-color\" style=\"color: #1182b3;\">International Conference on Networked Digital Technologies (IEEE\u00a0 NDT &#8217;09)<\/span><\/strong><\/em>, pp. 82-87, Ostrava, Czech Republic, 28-31 July, 2009.<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>[J]-Peer reviewed journal article, [C]-Peer reviewed conference papers\/posters, [B]-Books, [P]-Pre-prints\/in review, [T]-Thesis\/Technical reports\/course notes. Note: Though my official name is&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/pages\/18"}],"collection":[{"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/comments?post=18"}],"version-history":[{"count":319,"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/pages\/18\/revisions"}],"predecessor-version":[{"id":2285,"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/pages\/18\/revisions\/2285"}],"wp:attachment":[{"href":"https:\/\/cs.smu.ca\/~jiju\/index.php\/wp-json\/wp\/v2\/media?parent=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}