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 | 1815 | 2018 |
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 | 1226 | 2017 |
Desire: Distant future prediction in dynamic scenes with interacting agents N Lee, W Choi, P Vernaza, CB Choy, PHS Torr, M Chandraker Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1210 | 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 | 948 | 2017 |
Universal correspondence network CB Choy, JY Gwak, S Savarese, M Chandraker Advances in neural information processing systems 29, 2016 | 458 | 2016 |
Towards large-pose face frontalization in the wild X Yin, X Yu, K Sohn, X Liu, M Chandraker Proceedings of the IEEE international conference on computer vision, 3990-3999, 2017 | 424 | 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 | 393 | 2019 |
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 | 377 | 2019 |
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 | 361 | 2019 |
Learning random-walk label propagation for weakly-supervised semantic segmentation P Vernaza, M Chandraker Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 305 | 2017 |
Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image Z Li, M Shafiei, R Ramamoorthi, K Sunkavalli, M Chandraker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 271 | 2020 |
Deep network flow for multi-object tracking S Schulter, P Vernaza, W Choi, M Chandraker Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 259 | 2017 |
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 | 252 | 2018 |
A 4D light-field dataset and CNN architectures for material recognition TC Wang, JY Zhu, E Hiroaki, M Chandraker, AA Efros, R Ramamoorthi Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 230 | 2016 |
Reconstruction-based disentanglement for pose-invariant face recognition X Peng, X Yu, K Sohn, DN Metaxas, M Chandraker Proceedings of the IEEE international conference on computer vision, 1623-1632, 2017 | 185 | 2017 |
Active adversarial domain adaptation JC Su, YH Tsai, K Sohn, B Liu, S Maji, M Chandraker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 181 | 2020 |
Towards universal representation learning for deep face recognition Y Shi, X Yu, K Sohn, M Chandraker, AK Jain Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 181 | 2020 |
Materials for masses: SVBRDF acquisition with a single mobile phone image Z Li, K Sunkavalli, M Chandraker Proceedings of the European conference on computer vision (ECCV), 72-87, 2018 | 179 | 2018 |
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 | 177 | 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 | 164 | 2014 |