[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 Jiju Poovvancheri, I use my first name (‘Jiju’) followed by my father’s name (‘Peethambaran’) in publications.
2024
[C17] Susrita Chatterjee, Prachi Kudeshia, Nikolaus Kollo, Muhammad Altaf Agowun, Jiju Peethambaran and Yasushi Akiyama,
“SatStreaks: Towards Supervised Learning for Delineating Satellite Streaks from Astronomical Images” Conference on Robots and Vision (CRV 2024), Guelph, May 2024
[pdf][poster][code][data][project page][bibtex]
[P3] Mehfuz A Rahman , Jiju Peethambaran, and Neil London
“RBF Weighted Hyper-Involution for RGB-D Object Detection”, [preprint]
[J31] Dong Chen, Fan Hu, Liqiang Zhang, Yunzhao Wu, Jianli Du and Jiju Peethambaran
“Impact Crater Recognition Methods: A Review”, Science China: Earth Sciences
[pdf][journal link][bibtex]
[J30] Yuchan Liu, Dong Chen, Shihan Fu, P. Takis Mathiopoulos, Jing Li, Mingming Sui, Jiaming Na and Jiju Peethambaran
“Individual Tree Points Segmentation by Combining Marker Controlled Watershed Segmentation and Spectral Clustering Optimization”, Remote Sensing
[pdf][journal link][bibtex]
[J29] Dong Chen, Lincheng Wan, Fan Hu, Jing Li, Yanming Chen,Yueqian Shen and Jiju Peethambaran
“Semantic-aware Room-level Indoor Modeling from Point Clouds”, International Journal of Applied Earth Observation and Geoinformation, Elsevier
[pdf][journal link][bibtex]
[J28] Jing Li , Dong Chen, Fan Hu, Yuliang Wang, Peng Li and Jiju Peethambaran
“Shape Preserving Mesh Decimation for 3D Building Modeling”, International Journal of Applied Earth Observation and Geoinformation, Elsevier.
[pdf][journal Link][bibtex]
2023
[C15] Sumesh Thakur, Prachi Kudeshia, Somaye Arabinaree, Dong Chen and Jiju Peethambaran,
“GAGAT: A Global Aware Graph Attention Network for 3D Classification and Segmentation” International Geoscience & Remote Sensing Symposium (IEEE IGARSS 2023) , Pasadena, California, July 2023
[pdf][IEEE Link][ppt][bibtex]
[J27] Dong Chen , Xianghong Li, Fan Hu, P. Takis Mathiopoulos, Shaoning Di, Mingming Sui, and Jiju Peethambaran
“EDPNet: A Novel Encoding-Decoding Network with Pyramidal Representation for Semantic Image Segmentation”, Sensors
[pdf][journal link][bibtex]
[J26] Dong Chen , Fan Hu, P. Takis Mathiopoulos, Zhenxin Zhang, and Jiju Peethambaran
“MC-UNet: Martian Crater Segmentation at Semantic and Instance Levels using U-Net-Based Convolutional Neural Network” Remote Sensing , Volume 15, Number 1, January 2023
[pdf][journal link][bibtex]
2022
[J25] Vivek kamra , Prachi Kudeshia, Somaye ArabiNaree, Dong Chen, Yasushi Akiyama and Jiju Peethambaran
“Lightweight Reconstruction of Urban Buildings: Data Structures, Algorithms and Future Directions” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Vollume 16, December 2022, pp. 902-917
[pdf][journal link][bibtex]
[T2/C13] Stefan Ohrhallinger, Amal Dev Parakkat, and Jiju Peethambaran,
“Outline and Shape Reconstruction in 2D” ECCV 2022 , Tutorial, October 2022
[ECCV link][ppt][pdf][Tutorial page]
[T1/C11] Stefan Ohrhallinger, Amal Dev Parakkat, and Jiju Peethambaran,
“Shape Reconstruction in 2D: From Theory to Practice” Eurographics 2022 , Tutorial, April 2022
[EG link][ppt][pdf][course notes][Project page][bibtex][teaser]
2021
[J24] Dong Chen , Guiqiu Xiang, Jiju Peethambaran, Liqiang Zhang , Jing Li, and Fan Hu
“AFGL-Net: Attentive Fusion of Global and Local Deep Features for Building Facade Parsing” Remote Sensing , Volume 13, Number 24, December 2021
[pdf][journal link][bibtex]
[J23] Dong Chen, Jing Li, Shaoning Di, Jiju Peethambaran, Guiqiu Xiang, Lincheng Wan, and Xianghong Li,
“Critical Points Extraction from Building Facades by Analyzing Gradient Structure Tensor” Remote Sensing, Volume 13, Number 16, August 2021
[pdf][journal link][bibtex]
[J22/C10] Stefan Ohrhallinger, Jiju Peethambaran, Amal Dev Parakkat, Tamal Dey and Ramanathan Muthuganapathy,
“2D Points Curve Reconstruction Survey and Benchmark” Eurographics (EG 2021), State-of-the-Art Report (STAR), Computer Graphics Forum,
[project page][pdf][journal link][bibtex][code][ppt][video]
[J21/C9] Sheldon Taylor, Owen Sharpe and Jiju Peethambaran,
“Prime Gradient Noise” Computational Visual Media Conference (CVM 2021), Computational Visual Media Journal, Springer, 2021,
[project page][pdf] [journal link][bibtex][code][ppt][video]
[J20] Shaobo Xia, Dong Chen, Jiju Peethambaran, Pu Wang and Sheng Xu,
“Point Cloud Inversion: A Novel Approach for the Localization of Trees in Forests from TLS Data”, Remote Sensing, Volume 13, Number 3, January 2021, [pdf][journal link][bibtex]
[J19] Zhen Cao, Dong Chen, Jiju Peethambaran, Zhenxin Zhang, Liqiang Zhang and Shaobo Xia
“Tunnel Reconstruction with Block Level Precision via a Hybrid Approach Combining Data-driven Segmentation and Model-driven Assembly” IEEE Transactions on Geoscience and Remote Sensing , 2021
[pdf][journal link][bibtex]
[J18] Safeer Babu Thayyil, Jiju Peethambaran and Ramanathan Muthuganapathy
“A Sampling Type Discernment Approach towards Reconstruction of a Point Set in R2“ Computer Aided Geometric Design, Elsevier , Volume 84, January 2021
[pdf][journal link][bibtex][code]
2020
[P2] Sumesh Thakur and Jiju Peethambaran ” Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection” ArXiv Preprint , 2020
[pdf][journal link]
[P1] Aby Thomas, Adarsh Sunilkumar, Shankar Shylesh, Subhasree Methirumangalath, Dong Chen, Jiju Peethambaran ” TCM-ICP: Transformation Compatibility Measure for for Registering Multiple LiDAR Scans” ArXiv Preprint , 2020
[pdf][journal link]
[J17] Bivash Pandey, Sumesh Thakur, Hemanchal Joshi, Ayusha Pradhanga, Yasushi Akiyama and Jiju Peethambaran ” Towards Video based Collective Motion Analysis through Shape Tracking and Matching” IET Electronic Letters , Volume 56, Issue 17, pp. 881-884, August 2020
[pdf][journal link][bibtex][ppt]
[J16/C8] Zesheng Jia, Anjali Jose, Subhasree Methirumangalath, Jiju Peethambaran and Ramanathan Muthuganapathy “Maintaining the Spatial Proximities of Objects under Motion”, Computer Aided Design & Applications, Volume 18, Number 2, pp. 368-382 (CAD’ 2020, Barcelona, Spain (virtual conference)) [pdf][journal link][bibtex][ppt]
[J15] Guofeng Tong, Yong Li , Dong Chen, Shaobo Xia, Jiju Peethambaran and Yuebin Wang
“Multi-view Features Joint Learning with Label and Local Distribution Consistency for Point Cloud Classification”
Remote Sensing, Volume 12, Issue 1, January, 2020
[pdf][journal link][bibtex]
2019
[J14/C7] Daniel Rebain, Baptiste Angles, Julien Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi and Andrea Tagliasacchi,
”LSMAT: Least Square Medial Axis Transform“, Symposium on Geometry Processing (SGP 2019), Milan, Italy, 8-10 July 2019.
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., Volume 38, Number 6, pp. 5-18, September 2019
[pdf][journal link][bibtex][ppt]
[J13] Jianli Du, Dong Chen, Ruisheng Wang, Jiju Peethambaran, P. Takis Mathiopoulos, Lei Xie, and Ting Yun,
“A Novel Framework for 2.5D Building Contouring from Large-Scale Residential Scenes”
IEEE Transactions on Geoscience and Remote Sensing, Volume 57, Issue 6, pp. 4121-4145, June 2019
[pdf][journal link][bibtex]
[J12] Jiju Peethambaran, Amal Dev Parakkat, Andrea Tagliasacchi, Ruisheng Wang and Ramanathan Muthuganapathy,
”Incremental Labeling of Voronoi Vertices for Shape Reconstruction“,
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., Volume 38, Number 1, pp. 521-536, March 2019
[pdf][journal link][bibtex][code]
2018
[J11] Yibo Liu, Zhenxin Zhang, Ruofei Zhong, Dong Chen, Jiju Peethambaran, Chuqun Chen, Lan Sun,
“Multi-level Building Detection Framework in Remote Sensing Images Based on Convolutional Neural Networks“,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Volume 11, Issue 10, pp. 3688-3700, October 2018
[pdf][journal link][bibtex]
[J10] Huan Ni, Xiangguo Lin, Jixian Zhang, Dong Chen, Jiju Peethambaran,
“Joint Clusters and Iterative Graph Cuts for ALS Point Cloud Filtering“,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Volume 11, Issue 3, pp. 990-1004, March 2018.
[pdf][journal link][bibtex]
[J9] Dong Chen*, Jiju Peethambaran*, Zhenxin Zhang,
“A Supervoxel-based Vegetation Classification via Decomposition and Modelling of Full-waveform Airborne Laser Scanning Data“,
International Journal of Remote Sensing, Taylor & Francis, Volume 39, Number 9, pp. 2937-2968, Feb 2018.
[pdf][journal link][bibtex] (*joint first authors)
[J8] Ruisheng Wang*, Jiju Peethambaran* and Dong Chen,
“LiDAR Point Clouds to 3D Urban Models: A Review“,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Volume 11, Issue 2 , pp. 606-627, Jan 2018. [Listed as one of the “Popular Articles” on J-STARS website in April 2018 ]
[pdf][journal link][bibtex] (* joint first authors)
2017
[J7] Dong Chen, Ruisheng Wang and Jiju Peethambaran, “Topologically-aware Building Rooftop Reconstruction from Airborne Laser Scanning Point Clouds“,
IEEE Transactions on Geoscience and Remote Sensing, Volume 55, Issue 12, pp. 7032 – 7052, December 2017.
[pdf][journal link][bibtex]
[J6] Jiju Peethambaran and Ruisheng Wang,
”Enhancing Urban Facades via LiDAR based Sculpting“,
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., Volume 36, Number 8, pp. 511-528, Dec 2017.
[webpage][pdf][journal link][bibtex]
2016
[J5] Jiju Peethambaran, Amal Dev Parakat and Ramanathan Muthuganapathy,
“An Empirical Study on Randomized Optimal Area Polygonization of Planar Point Sets”,
ACM Journal of Experimental Algorithmics, Volume 21, Issue 1, April 2016 .
[pdf][journal link][bibtex]
[B1] Jiju Peethambaran and Ramanathan Muthuganapathy, “Automatic Reconstruction of Triangular Meshes from Point Sets“, Lambert Academic Publishing, March 2016
[based on my Doctoral dissertation]
PhD thesis: “Non-parametric Shape Reconstruction and Volume Constrained Polyhedronizations of Point Sets”, PhD thesis (defended in May, 2015)
2015
[C6] Jiju Peethambaran, Amal Dev Parakkat and Ramanathan Muthuganapathy,
“A Voronoi based Labeling Approach to Curve Reconstruction and Medial Axis Approximation“,
Pacific Graphics (PG 2015), EG Digital Library, The Eurographics Association, Beijing, China, 7-9 October 2015.
[pdf][bibtex]
[J4] Jiju Peethambaran and Ramanathan Muthuganapathy,
“A Non-parametric Approach to Shape Reconstruction from Planar Point Sets through Delaunay Filtering“,
Computer Aided Design, Elsevier, Volume 62, pp. 164-175, May 2015.
[pdf][ journal link][bibtex][data][code]
[J3] Jiju Peethambaran, Amal Dev Parakkat and Ramanathan Muthuganapathy,
“A Randomized Approach to Volume Constrained Polyhedronization Problem“,
Journal of Computing and Information Science in Engineering, ASME Transactions, Volume 15, Issue 1, March 2015 (Extended version of C3).
[pdf ][journal link][bibtex]
[J2/C4] Amal Dev, Jiju Peethambaran, Philumon Joseph and Ramanathan Muthuganapathy,
“A Graph-based Geometric Approach to Object Contour Extraction from Noisy Digital Binary Images“,
Computer Aided Design & Application, Volume 12, Issue 4, pp. 403-413, February 2015, (CAD’ 2014, Hong Kong, China, 23-26 June 2014)
[pdf][journal link][bibtex]
[J1/C5] Jiju Peethambaran and Ramanathan Muthuganapathy, “Reconstruction of Water-tight Surfaces through Delaunay Sculpting“,
Symposium on Solid and Physical Modeling (SPM 2014), Hong kong, China, 26-28 October 2014.
Computer Aided Design, Elsevier, Volume 58, January 2015, pp. 62-72 .
[web page][pdf][journal link][bibtex][Git] [ppt]
Before 2014
[C3] Jiju Peethambaran, Amal Dev and Ramanathan Muthuganapathy,
”Volume Constrained Polyhedronization of Point Sets in 3-Space “, Symposium on Geometry Processing (SGP 2013), Genoa, Italy, 3-5 July, 2013 (Poster). [pdf ]
[C2] Jiju Peethambaran, and Ramanathan Muthuganapathy,
”A Graph Theoretic Approach for the Construction of Concave hulls of Point Sets in R2“, CAD’ 2012, Niagara falls, Canada, 11-14 July , 2012.
[C1] Annappa B, Jiju P, K Chandrashekaran and K.C Shet,
”Petrinet based Verification of a Cooperative Workflow Model “, International Conference on Networked Digital Technologies (IEEE NDT ’09), pp. 82-87, Ostrava, Czech Republic, 28-31 July, 2009.