10th International Workshop on Recovering 6D Object Pose
Lessons and Winning Solutions in Industrial Object Detection and Pose Estimation from the 2025 Bin-Picking Perception Challenge-
[pdf]
[bibtex]@InProceedings{Huang_2025_ICCV, author = {Huang, Ziqin and Li, Chengxi and Li, Yingyue and Liu, Xingyu and Zhang, Chenyangguang and Zhang, Ruida and Fu, Bowen and Hu, Xinggang and Qu, Yun and Liu, Mengge and Mao, Yixiu and Huang, Wendong and Wang, Gu and Ji, Xiangyang}, title = {Lessons and Winning Solutions in Industrial Object Detection and Pose Estimation from the 2025 Bin-Picking Perception Challenge}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2408-2414} }
MR6D: Benchmarking 6D Pose Estimation for Mobile Robots-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gouda_2025_ICCV, author = {Gouda, Anas and Awasthi, Shrutarv and Blesing, Christian and Manohar, Lokeshwaran and Hoffmann, Frank and Kirchheim, Alice}, title = {MR6D: Benchmarking 6D Pose Estimation for Mobile Robots}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2426-2434} }
Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2025_ICCV, author = {Li, Zhujun and Zhang, Shuo and Stamos, Ioannis}, title = {Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {2415-2425} }