| Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes Y Xiang, T Schmidt, V Narayanan, D Fox Robotics: Science and Systems (RSS), 2018 | 2245 | 2018 |
| Deep metric learning via lifted structured feature embedding H Oh Song, Y Xiang, S Jegelka, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2063 | 2016 |
| Beyond pascal: A benchmark for 3d object detection in the wild Y Xiang, R Mottaghi, S Savarese IEEE winter conference on applications of computer vision, 75-82, 2014 | 976 | 2014 |
| Learning to track: Online multi-object tracking by decision making Y Xiang, A Alahi, S Savarese Proceedings of the IEEE international conference on computer vision, 4705-4713, 2015 | 824 | 2015 |
| DeepIM: Deep Iterative Matching for 6D Pose Estimation Y Li, G Wang, X Ji, Y Xiang, D Fox European Conference on Computer Vision (ECCV), 2018 | 816 | 2018 |
| Deep object pose estimation for semantic robotic grasping of household objects J Tremblay, T To, B Sundaralingam, Y Xiang, D Fox, S Birchfield arXiv preprint arXiv:1809.10790, 2018 | 808 | 2018 |
| Data-driven 3d voxel patterns for object category recognition Y Xiang, W Choi, Y Lin, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 432 | 2015 |
| Subcategory-aware convolutional neural networks for object proposals and detection Y Xiang, W Choi, Y Lin, S Savarese 2017 IEEE winter conference on applications of computer vision (WACV), 924-933, 2017 | 366 | 2017 |
| Objectnet3d: A large scale database for 3d object recognition Y Xiang, W Kim, W Chen, J Ji, C Choy, H Su, R Mottaghi, L Guibas, ... Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 359 | 2016 |
| Recurrent Autoregressive Networks for Online Multi-Object Tracking K Fang, Y Xiang, S Savarese IEEE Winter Conference on Applications of Computer Vision (WACV), 2018 | 323 | 2018 |
| Anticipating accidents in dashcam videos FH Chan, YT Chen, Y Xiang, M Sun Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 282 | 2017 |
| DexYCB: A benchmark for capturing hand grasping of objects YW Chao, W Yang, Y Xiang, P Molchanov, A Handa, J Tremblay, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 260 | 2021 |
| PoseRBPF: A Rao–Blackwellized particle filter for 6-D object pose tracking X Deng, A Mousavian, Y Xiang, F Xia, T Bretl, D Fox IEEE Transactions on Robotics 37 (5), 1328-1342, 2021 | 233 | 2021 |
| Self-supervised 6d object pose estimation for robot manipulation X Deng, Y Xiang, A Mousavian, C Eppner, T Bretl, D Fox 2020 IEEE International Conference on Robotics and Automation (ICRA), 3665-3671, 2020 | 208 | 2020 |
| Unseen object instance segmentation for robotic environments C Xie, Y Xiang, A Mousavian, D Fox IEEE Transactions on Robotics 37 (5), 1343-1359, 2021 | 152 | 2021 |
| Estimating the aspect layout of object categories Y Xiang, S Savarese 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3410-3417, 2012 | 152 | 2012 |
| Latentfusion: End-to-end differentiable reconstruction and rendering for unseen object pose estimation K Park, A Mousavian, Y Xiang, D Fox Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 149 | 2020 |
| DA-RNN: Semantic mapping with data associated recurrent neural networks Y Xiang, D Fox Robotics: Science and Systems (RSS), 2017 | 143 | 2017 |
| Learning rgb-d feature embeddings for unseen object instance segmentation Y Xiang, C Xie, A Mousavian, D Fox Conference on Robot Learning, 461-470, 2021 | 133 | 2021 |
| The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation C Xie, Y Xiang, A Mousavian, D Fox Conference on robot learning, 1369-1378, 2020 | 108 | 2020 |
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
