| Recurrent network models for human dynamics K Fragkiadaki, S Levine, P Felsen, J Malik Proceedings of the IEEE international conference on computer vision, 4346-4354, 2015 | 823 | 2015 |
| Human pose estimation with iterative error feedback J Carreira, P Agrawal, K Fragkiadaki, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 818 | 2016 |
| Sfm-net: Learning of structure and motion from video S Vijayanarasimhan, S Ricco, C Schmid, R Sukthankar, K Fragkiadaki arXiv preprint arXiv:1704.07804, 2017 | 420 | 2017 |
| Self-supervised learning of motion capture HY Tung, HW Tung, E Yumer, K Fragkiadaki Advances in Neural Information Processing Systems 30, 2017 | 293 | 2017 |
| Learning visual predictive models of physics for playing billiards K Fragkiadaki, P Agrawal, S Levine, J Malik arXiv preprint arXiv:1511.07404, 2015 | 252 | 2015 |
| Learning to segment moving objects in videos K Fragkiadaki, P Arbelaez, P Felsen, J Malik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 223 | 2015 |
| Video segmentation by tracing discontinuities in a trajectory embedding K Fragkiadaki, G Zhang, J Shi 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1846-1853, 2012 | 211 | 2012 |
| Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision HYF Tung, AW Harley, W Seto, K Fragkiadaki 2017 IEEE International Conference on Computer Vision (ICCV), 4364-4372, 2017 | 143 | 2017 |
| Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement K Fragkiadaki, J Shi CVPR 2011, 2073-2080, 2011 | 106 | 2011 |
| Epipolar transformers Y He, R Yan, K Fragkiadaki, SI Yu Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 94 | 2020 |
| Two-granularity tracking: Mediating trajectory and detection graphs for tracking under occlusions K Fragkiadaki, W Zhang, G Zhang, J Shi Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 89 | 2012 |
| Grouping-based low-rank trajectory completion and 3D reconstruction K Fragkiadaki, M Salas, P Arbelaez, J Malik advances in neural information processing systems 27, 2014 | 72 | 2014 |
| Pose from flow and flow from pose K Fragkiadaki, H Hu, J Shi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 72 | 2013 |
| Learning spatial common sense with geometry-aware recurrent networks HYF Tung, R Cheng, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 62 | 2019 |
| Reinforcement learning of active vision for manipulating objects under occlusions R Cheng, A Agarwal, K Fragkiadaki Conference on Robot Learning, 422-431, 2018 | 47 | 2018 |
| The three R’s of computer vision: Recognition, reconstruction and reorganization J Malik, P Arbelįez, J Carreira, K Fragkiadaki, R Girshick, G Gkioxari, ... Pattern Recognition Letters 72, 4-14, 2016 | 47 | 2016 |
| Graph-structured visual imitation M Sieb, Z Xian, A Huang, O Kroemer, K Fragkiadaki Conference on Robot Learning, 979-989, 2020 | 34 | 2020 |
| Reward learning from narrated demonstrations HY Tung, AW Harley, LK Huang, K Fragkiadaki Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 32 | 2018 |
| Geometry-aware recurrent neural networks for active visual recognition R Cheng, Z Wang, K Fragkiadaki Advances in Neural Information Processing Systems 31, 2018 | 31 | 2018 |
| Recurrent network models for kinematic tracking K Fragkiadaki, S Levine, J Malik CoRR, abs/1508.00271 1 (2), 4, 2015 | 29 | 2015 |
Hsiao-Yu (Fish) TungCarnegie Mellon UniversityVerified email at cs.cmu.edu
