| 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 | 928 | 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 | 740 | 2017 |
| Learning efficient object detection models with knowledge distillation G Chen, W Choi, X Yu, T Han, M Chandraker Advances in neural information processing systems 30, 2017 | 599 | 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 | 564 | 2017 |
| Universal correspondence network CB Choy, JY Gwak, S Savarese, M Chandraker Advances in neural information processing systems 29, 2016 | 328 | 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 | 308 | 2017 |
| Domain adaptation for structured output via discriminative patch representations YH Tsai, K Sohn, S Schulter, M Chandraker Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 196 | 2019 |
| 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 | 181 | 2016 |
| 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 | 179 | 2017 |
| IDD: A dataset for exploring problems of autonomous navigation in unconstrained environments G Varma, A Subramanian, A Namboodiri, M Chandraker, CV Jawahar 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1743-1751, 2019 | 158 | 2019 |
| 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 | 157 | 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 | 156 | 2017 |
| 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 | 155 | 2019 |
| Deep deformation network for object landmark localization X Yu, F Zhou, M Chandraker European conference on computer vision, 52-70, 2016 | 150 | 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 | 146 | 2014 |
| 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 | 143 | 2013 |
| Learning to reconstruct shape and spatially-varying reflectance from a single image Z Li, Z Xu, R Ramamoorthi, K Sunkavalli, M Chandraker ACM Transactions on Graphics (TOG) 37 (6), 1-11, 2018 | 139 | 2018 |
| Shadowcuts: Photometric stereo with shadows M Chandraker, S Agarwal, D Kriegman 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 139 | 2007 |
| 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 | 127 | 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 | 127 | 2008 |
Xiang YuNEC Labs AmericaVerified email at nec-labs.com
