| 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 | 833 | 2016 |
| 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 | 532 | 2018 |
| 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 | 529 | 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 | 479 | 2015 |
| 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 | 261 | 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 | 226 | 2017 |
| 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 | 193 | 2018 |
| 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, ... European conference on computer vision, 160-176, 2016 | 193 | 2016 |
| 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 | 179 | 2018 |
| Estimating the aspect layout of object categories Y Xiang, S Savarese 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3410-3417, 2012 | 132 | 2012 |
| Anticipating accidents in dashcam videos FH Chan, YT Chen, Y Xiang, M Sun Asian Conference on Computer Vision, 136-153, 2016 | 92 | 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 | 91 | 2018 |
| A revisit of generative model for automatic image annotation using markov random fields Y Xiang, X Zhou, TS Chua, CW Ngo 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1153-1160, 2009 | 79 | 2009 |
| A coarse-to-fine model for 3d pose estimation and sub-category recognition R Mottaghi, Y Xiang, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 74 | 2015 |
| DA-RNN: Semantic mapping with data associated recurrent neural networks Y Xiang, D Fox Robotics: Science and Systems (RSS), 2017 | 60 | 2017 |
| Semantic context modeling with maximal margin conditional random fields for automatic image annotation Y Xiang, X Zhou, Z Liu, TS Chua, CW Ngo 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 50 | 2010 |
| Subcategory-aware convolutional neural networks for object detection W Choi, Y Lin, Y Xiang, S Savarese US Patent 9,965,719, 2018 | 46 | 2018 |
| Object co-detection SY Bao, Y Xiang, S Savarese European Conference on Computer Vision, 86-101, 2012 | 41 | 2012 |
| Monocular multiview object tracking with 3d aspect parts Y Xiang, C Song, R Mottaghi, S Savarese European Conference on Computer Vision, 220-235, 2014 | 35 | 2014 |
| Object detection by 3d aspectlets and occlusion reasoning Y Xiang, S Savarese Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 28 | 2013 |
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
