Tentative 3DOR program
August 31, 2023
13:30 – 13:45 Opening Session
Conference and Program chairs
Silvia Biasotti, Mohamed Daoudi, Ulderico Fugacc, Guillaume Lavoué, Remco C. Veltkamp
13:45 – 15:00 Oral session 3 (full) papers (Session chair: Theoharis Theoharis)
13:45 - 14:10 Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measure
Thomas Besnier, Sylvain Arguillère, Emery Pierson, Mohamed Daoudi
14:10 - 14:35 SpecTrHuMS: Spectral Transformer for Human Mesh Sequence Learning
Clément Lemeunier, Florence Denis, Guillaume Lavoué, Florent Dupont
14:35 - 15:00 Learning Graph-based Features for Relief Patterns Classification on Mesh Manifolds
Niccolò Guiducci, Claudio Tortorici, Claudio Ferrari, Stefano Berretti
15:00 – 15:30 Coffee break
15:30 – 16:30 Keynote talk (Session chair: Florent Dupont)
Learning representations of 4D human motion
Stefanie Wuhrer, INRIA Grenoble Alpes
16:30 – 18:05 Oral session 2: 4 SHREC papers (3 full + 1 short) (Session: Stefano Berretti)
16:30 - 16:55 SketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval
Trung-Nghia, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen,
Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Trong-Hieu Nguyen-Mau, Tuan-Luc Huynh, Thanh-Danh Le, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Hoai Phong Truong, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, Hoai-Danh Vo
16:55 - 17:20 TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval
Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Tuong-Nghiem, Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, E-Ro Nguyen, Minh-Khoi Nguyen-Nhat, Tuan-An To, Trung-Truc Huynh-Le, Nham-Tan Nguyen, Hoang-Chau Luong, Hoai Phong Truong, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen
17:20 - 17:45 Point Cloud Change Detection for City Scenes
Honglin Yuan, Gao Yang, Tao Ku, Remco C. Veltkamp, Georgios Zamanakos, Lazaros Tsochatzidis, Angelos Amanatiadis, Ioannis Pratikakis, Aliki Panou, Ioannis Romanelis, Vlassis Fotis, Gerasimos Arvanitis, Konstantinos Moustakas
17:45 - 18:05 Detection of symmetries on 3D point clouds representing simple shapes
Ivan Sipiran, Chiara Romanengo, Bianca Falcidieno, Gerasimos Arvanitis, Vlassis Fotis, Jianfang He, Xiaoling Lv, Konstantinos Moustakas, Ioannis Romanelis, Wenhao Sun
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20:00 – Social dinner
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September 1, 2023
9:00 – 10:35 Oral session 4 papers (3 full + 1 short) (Session chair: Ioannis Pratikakis)
9:00 - 9:25 MARF: The Medial Atom Ray Field Object Representation Geometry
Peder Bergebakken Sundt, Theoharis Theoharis
9:25 - 9:50 Illumination-Guided Inverse Rendering Benchmark: Learning Real Objects with Few Cameras
Doğa Yılmaz Furkan Kıraç
9:50 - 10:15 GEO-Nav: a geometric dataset of voltage-gated sodium channels
Andrea Raffo, Ulderico Fugacci, Silvia Biasotti
10:15 - 10:35 SynScan - A Large-Scale Dataset for Instance Level Recognition on Partial Scan Data
Marian Bookhahn, Frank Neumann
10:35 – 11:00 Coffee break
11:00 – 12:00 Keynote talk (Session chair: Guillaume Lavoué)
Efficient, general-purpose feature learning for 3D shape comparison
Maks Ovsjanikov, Ecole Polytechnique, France
12:00 – 13:30 Lunch
13:30 – 15:05 Oral session 4: 4 papers (3 full + 1 short) (Session chair: Ulderico Fugacci)
13:30 - 13:55 C2SPoint: A Classification-to-Saliency network for point cloud saliency detection
Zhaoyi Jiang, Luyun Ding, Gary Tam, Chao Song, Frederick Li, Bailin Yang
13:55 - 14:20 Self-supervised learning for robust object retrieval without human annotations
Jarne Van den Herrewegen, Tom Tourwé, Francis Wyffels
14:20 - 14:45 SketchCADGAN: A generative approach for completing partially drawn query sketches of engineering shapes to enhance retrieval system performance
Prasad Pralhad Kendre, Kamalesh Kumar Kosalaramanj Sanjay Santhosh Kumar Jayasreej, Sreehari Rajan, Akash Jayan, Ramanathan Muthuganapathy
14:45 - 15:05 VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data
Emmanuel Hartman, Emery Pierson
15:05 – 15:30 Afternoon break
15:30 – 16h30 Keynote talk (Session chair: Silvia Biasotti)
Learning from Synthetic 3D Priors for Real-World 3D Perception
Angela Dai, Technical University of Munich
16:30 – 16:45 Best paper award
16:45 – 17:00 Closing
Conference and program chairs