| Learning to adapt structured output space for semantic segmentation YH Tsai, WC Hung, S Schulter, K Sohn, MH Yang, M Chandraker Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 462 | 2018 |
| DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents N Lee, W Choi, P Vernaza, CB Choy, PHS Torr, M Chandraker 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2165 …, 2017 | 447 | 2017 |
| Person re-identification in the wild L Zheng, H Zhang, S Sun, M Chandraker, Y Yang, Q Tian Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 351 | 2017 |
| Learning efficient object detection models with knowledge distillation G Chen, W Choi, X Yu, T Han, M Chandraker Proceedings of the 31st International Conference on Neural Information …, 2017 | 313 | 2017 |
| Universal correspondence network CB Choy, JY Gwak, S Savarese, M Chandraker arXiv preprint arXiv:1606.03558, 2016 | 243 | 2016 |
| Towards Large-Pose Face Frontalization in the Wild X Yin, X Yu, K Sohn, X Liu, M Chandraker 2017 IEEE International Conference on Computer Vision (ICCV), 4010-4019, 2017 | 221 | 2017 |
| A 4d light-field dataset and cnn architectures for material recognition TC Wang, JY Zhu, E Hiroaki, M Chandraker, AA Efros, R Ramamoorthi European Conference on Computer Vision, 121-138, 2016 | 150 | 2016 |
| Warpnet: Weakly supervised matching for single-view reconstruction A Kanazawa, DW Jacobs, M Chandraker Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 134 | 2016 |
| Robust scale estimation in real-time monocular SFM for autonomous driving S Song, M Chandraker Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 133 | 2014 |
| Shadowcuts: Photometric stereo with shadows M Chandraker, S Agarwal, D Kriegman 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 132 | 2007 |
| Dense object reconstruction with semantic priors S Yingze Bao, M Chandraker, Y Lin, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 131 | 2013 |
| Deep Network Flow for Multi-Object Tracking S Schulter, W Choi, P Vernaza, M Chandraker 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2730 …, 2017 | 124 | 2017 |
| Practical global optimization for multiview geometry F Kahl, S Agarwal, MK Chandraker, D Kriegman, S Belongie International Journal of Computer Vision 79 (3), 271-284, 2008 | 120 | 2008 |
| Deep deformation network for object landmark localization X Yu, F Zhou, M Chandraker European Conference on Computer Vision, 52-70, 2016 | 119 | 2016 |
| Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition X Peng, X Yu, K Sohn, DN Metaxas, M Chandraker 2017 IEEE International Conference on Computer Vision (ICCV), 1632-1641, 2017 | 111 | 2017 |
| High precision multi-touch sensing on surfaces using overhead cameras A Agarwal, S Izadi, M Chandraker, A Blake Second Annual IEEE International Workshop on Horizontal Interactive Human …, 2007 | 106 | 2007 |
| Reflections on the generalized bas-relief ambiguity MK Chandraker, F Kahl, DJ Kriegman 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 91 | 2005 |
| Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos K Sohn, S Liu, G Zhong, X Yu, MH Yang, M Chandraker 2017 IEEE International Conference on Computer Vision (ICCV), 5917-5925, 2017 | 87 | 2017 |
| Moving in stereo: Efficient structure and motion using lines M Chandraker, J Lim, D Kriegman 2009 IEEE 12th International Conference on Computer Vision, 1741-1748, 2009 | 84 | 2009 |
| Feature transfer learning for face recognition with under-represented data X Yin, X Yu, K Sohn, X Liu, M Chandraker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 79 | 2019 |
Xiang YuNEC Labs AmericaVerified email at nec-labs.com
