9th Workshop on Recovering 6D Object Pose (R6D) - ECCV 2024 скачать в хорошем качестве

9th Workshop on Recovering 6D Object Pose (R6D) - ECCV 2024

Watch the recording of the 9th Workshop on Recovering 6D Object Pose (R6D), held at ECCV 2024. The workshop focuses on the latest advances in model-based and model-free 6DoF object pose estimation, with applications in augmented reality, robotic manipulation, and autonomous driving. Featuring four invited talks by experts in the field and presentation of the BOP Challenge 2024, this recording is a valuable resource for researchers and practitioners working on related topics. Organizers: Tomas Hodan (Meta), Martin Sundermeyer (Google), Van Nguyen Nguyen (ParisTech), Stephen Tyree (NVIDIA), Andrew Guo (University of Toronto), Médéric Fourmy (CTU in Prague), Anas Gouda (TU Dortmund), Taeyeop Lee (KAIST), Sungphill Moon (NAVER LABS), Hyeontae Son (NAVER LABS), Lukas Ranftl (MVTec), Jonathan Tremblay (NVIDIA), Yann Labbé (Meta), Eric Brachmann (Niantic), Bertram Drost (MVTec), Sindi Shkodrani (Meta), Carsten Steger (TUM, MVTec), Vincent Lepetit (ParisTech), Carsten Rother (Heidelberg University), Stan Birchfield (NVIDIA), Jiri Matas (CTU in Prague) Chapters: 00:00:00 Introduction: Tomas Hodan (Meta) 00:08:20 Talk 1: Detector-free feature matching for pose estimation - Xiaowei Zhou (Zhejiang University) 00:36:57 Talk 2: Relaxing pose estimation: Unseen objects and visual challenges - Benjamin Busam (TUM) 01:05:17 Talk 3: Practical robotic scene awareness - Stan Birchfield (NVIDIA) 01:34:14 Talk 4: Towards Contextual AI: Tracking objects and our interactions with them - Jakob Engel (Meta) 02:02:07 BOP 2024: Introduction - Tomas Hodan (Meta) 02:17:00 BOP 2024: HANDAL dataset - Stephen Tyree (NVIDIA) 02:19:31 BOP 2024: HOPEv2 dataset - Stephen Tyree (NVIDIA) 02:23:10 BOP 2024: HOT3D dataset - Prithviraj Banerjee, Sindi Shkodrani (Meta) 02:32:08 BOP 2024: Estimating object visibility on HOT3D - Taeyeop Lee (KAIST) 02:36:21 BOP 2024: Challenge tracks - Van Nguyen Nguyen (ParisTech) 02:43:40 BOP 2024: Results and early-bird awards - Martin Sundermeyer (Google), Van Nguyen Nguyen (ParisTech) 02:54:10 BOP 2024: GenFlow results on BOP-H3 - Sungphill Moon (NAVER LABS) 02:58:59 BOP 2024: BOP-Robotics - Martin Sundermeyer (Google) #ECCV2024 #BOP