| Generating videos with scene dynamics C Vondrick, H Pirsiavash, A Torralba Advances In Neural Information Processing Systems (NIPS), 613-621, 2016 | 1438 | 2016 |
| Globally-optimal greedy algorithms for tracking a variable number of objects H Pirsiavash, D Ramanan, CC Fowlkes CVPR 2011, 1201-1208, 2011 | 998 | 2011 |
| Detecting activities of daily living in first-person camera views H Pirsiavash, D Ramanan 2012 IEEE conference on computer vision and pattern recognition, 2847-2854, 2012 | 851 | 2012 |
| A large-scale benchmark dataset for event recognition in surveillance video S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ... CVPR 2011, 3153-3160, 2011 | 819 | 2011 |
| Anticipating Visual Representations from Unlabeled Video AT Carl Vondrick, Hamed Pirsiavash Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016 | 546* | 2016 |
| Representation Learning by Learning to Count M Noroozi, H Pirsiavash, P Favaro International Conference on Computer Vision (ICCV), 2017, 2017 | 364 | 2017 |
| Hidden Trigger Backdoor Attacks A Saha, A Subramanya, H Pirsiavash AAAI 2020, 2019 | 302 | 2019 |
| Weakly Supervised Cascaded Convolutional Networks A Diba, V Sharma, A Pazandeh, H Pirsiavash, L Van Gool Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017 | 291 | 2017 |
| Parsing IKEA Objects: Fine Pose Estimation JJ Lim, H Pirsiavash, A Torralba IEEE International Conference on Computer Vision (ICCV), 2013, 2013 | 291 | 2013 |
| Boosting Self-Supervised Learning via Knowledge Transfer M Noroozi, A Vinjimoor, P Favaro, H Pirsiavash International Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 286 | 2018 |
| Parsing videos of actions with segmental grammars H Pirsiavash, D Ramanan Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2014 | 184 | 2014 |
| Bilinear classifiers for visual recognition H Pirsiavash, D Ramanan, CC Fowlkes Advances in neural information processing systems (NIPS), 1482-1490, 2009 | 184 | 2009 |
| Assessing the quality of actions H Pirsiavash, C Vondrick, A Torralba European Conference on Computer Vision (ECCV), 556-571, 2014 | 176 | 2014 |
| Learning Aligned Cross-Modal Representations from Weakly Aligned Data AT Lluıs Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016 | 167* | 2016 |
| Joint semantic segmentation and depth estimation with deep convolutional networks A Mousavian, H Pirsiavash, J Košecká 2016 Fourth International Conference on 3D Vision (3DV), 611-619, 2016 | 137 | 2016 |
| Cross-Modal Scene Networks Y Aytar, L Castrejon, C Vondrick, H Pirsiavash, A Torralba IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2017 | 135 | 2017 |
| Universal litmus patterns: Revealing backdoor attacks in cnns S Kolouri, A Saha, H Pirsiavash, H Hoffmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 125 | 2020 |
| Coot: Cooperative hierarchical transformer for video-text representation learning S Ging, M Zolfaghari, H Pirsiavash, T Brox Neural Information Processing Systems (NeurIPS) 2020, 2020 | 121 | 2020 |
| Talkminer: a lecture webcast search engine J Adcock, M Cooper, L Denoue, H Pirsiavash, LA Rowe Proceedings of the 18th ACM international conference on Multimedia, 241-250, 2010 | 100 | 2010 |
| Opti-acoustic stereo imaging: On system calibration and 3-D target reconstruction S Negahdaripour, H Sekkati, H Pirsiavash IEEE Transactions on image processing 18 (6), 1203-1214, 2009 | 88 | 2009 |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
