| Tall: Temporal activity localization via language query J Gao, C Sun, Z Yang, R Nevatia Proceedings of the IEEE international conference on computer vision, 5267-5275, 2017 | 806 | 2017 |
| Turn tap: Temporal unit regression network for temporal action proposals J Gao, Z Yang, K Chen, C Sun, R Nevatia Proceedings of the IEEE international conference on computer vision, 3628-3636, 2017 | 548 | 2017 |
| Occlusion aware unsupervised learning of optical flow Y Wang, Y Yang, Z Yang, L Zhao, P Wang, W Xu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 362 | 2018 |
| Every pixel counts++: Joint learning of geometry and motion with 3d holistic understanding C Luo, Z Yang, P Wang, Y Wang, W Xu, R Nevatia, A Yuille IEEE transactions on pattern analysis and machine intelligence 42 (10), 2624 …, 2019 | 319 | 2019 |
| Cascaded boundary regression for temporal action detection J Gao, Z Yang, R Nevatia arXiv preprint arXiv:1705.01180, 2017 | 254 | 2017 |
| Unsupervised learning of geometry from videos with edge-aware depth-normal consistency Z Yang, P Wang, W Xu, L Zhao, R Nevatia Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 250 | 2018 |
| Red: Reinforced encoder-decoder networks for action anticipation J Gao, Z Yang, R Nevatia arXiv preprint arXiv:1707.04818, 2017 | 239 | 2017 |
| Lego: Learning edge with geometry all at once by watching videos Z Yang, P Wang, Y Wang, W Xu, R Nevatia Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 209 | 2018 |
| SPAN: Spatial pyramid attention network for image manipulation localization X Hu, Z Zhang, Z Jiang, S Chaudhuri, Z Yang, R Nevatia Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 200 | 2020 |
| Unos: Unified unsupervised optical-flow and stereo-depth estimation by watching videos Y Wang, P Wang, Z Yang, C Luo, Y Yang, W Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 174 | 2019 |
| A multi-scale cascade fully convolutional network face detector Z Yang, R Nevatia 2016 23rd International Conference on Pattern Recognition (ICPR), 633-638, 2016 | 124 | 2016 |
| Every pixel counts: Unsupervised geometry learning with holistic 3d motion understanding Z Yang, P Wang, Y Wang, W Xu, R Nevatia Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 113 | 2018 |
| Spatio-temporal action detection with cascade proposal and location anticipation Z Yang, J Gao, R Nevatia arXiv preprint arXiv:1708.00042, 2017 | 71 | 2017 |
| Activity driven weakly supervised object detection Z Yang, D Mahajan, D Ghadiyaram, R Nevatia, V Ramanathan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 38 | 2019 |
| Weakly supervised instance segmentation for videos with temporal mask consistency Q Liu, V Ramanathan, D Mahajan, A Yuille, Z Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Systems and methods for unsupervised learning of geometry from images using depth-normal consistency P Wang, W Xu, Y Zhenheng US Patent 10,803,546, 2020 | 25 | 2020 |
| Joint unsupervised learning of optical flow and depth by watching stereo videos Y Wang, Z Yang, P Wang, Y Yang, C Luo, W Xu arXiv preprint arXiv:1810.03654, 2018 | 18 | 2018 |
| Face and body association for video-based face recognition KG Kim, Z Yang, I Masi, R Nevatia, G Medioni 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 39-48, 2018 | 17 | 2018 |
| Unsupervised learning of geometry with edge-aware depth-normal consistency. arXiv 2017 Z Yang, P Wang, W Xu, L Zhao, R Nevatia arXiv preprint arXiv:1711.03665 2 (5), 0 | 9 | |
| Enhancing model parallelism in neural architecture search for multidevice system C Fu, H Chen, Z Yang, F Koushanfar, Y Tian, J Zhao IEEE Micro 40 (5), 46-55, 2020 | 8 | 2020 |
Ram NevatiaEmail confirmado em usc.edu
