| 101 human actions from videos in the wild K Soomro, AR Zamir, M Shah arXiv preprint arXiv:1212.0402, 2012 | 4227* | 2012 |
| 3d semantic parsing of large-scale indoor spaces I Armeni, O Sener, AR Zamir, H Jiang, I Brilakis, M Fischer, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 893 | 2016 |
| Structural-rnn: Deep learning on spatio-temporal graphs A Jain, AR Zamir, S Savarese, A Saxena Proceedings of the ieee conference on computer vision and pattern …, 2016 | 883 | 2016 |
| Taskonomy: Disentangling task transfer learning AR Zamir, A Sax, W Shen, LJ Guibas, J Malik, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 759 | 2018 |
| THUMOS challenge: Action recognition with a large number of classes YG Jiang, J Liu, AR Zamir, I Laptev, M Piccardi, M Shah, R Sukthankar | 535 | 2013 |
| Joint 2d-3d-semantic data for indoor scene understanding I Armeni, S Sax, AR Zamir, S Savarese arXiv preprint arXiv:1702.01105, 2017 | 500 | 2017 |
| GMCP-tracker: Global multi-object tracking using generalized minimum clique graphs AR Zamir, A Dehghan, M Shah Computer Vision–ECCV 2012, 343-356, 2012 | 462* | 2012 |
| Accurate image localization based on google maps street view AR Zamir, M Shah European Conference on Computer Vision, 255-268, 2010 | 428 | 2010 |
| Gibson env: Real-world perception for embodied agents F Xia, AR Zamir, Z He, A Sax, J Malik, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 410 | 2018 |
| On evaluation of embodied navigation agents P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ... arXiv preprint arXiv:1807.06757, 2018 | 329 | 2018 |
| The THUMOS challenge on action recognition for videos “in the wild” H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah Computer Vision and Image Understanding 155, 1-23, 2017 | 296 | 2017 |
| Action recognition in realistic sports videos K Soomro, AR Zamir Computer vision in sports, 181-208, 2014 | 208 | 2014 |
| Image Geo-localization Based on Multiple Nearest Neighbor Feature Matching Using Generalized Graphs AR Zamir, M Shah IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 1-1, 2014 | 193 | 2014 |
| Feedback networks AR Zamir, TL Wu, L Sun, WB Shen, BE Shi, J Malik, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 180 | 2017 |
| Which tasks should be learned together in multi-task learning? T Standley, A Zamir, D Chen, L Guibas, J Malik, S Savarese International Conference on Machine Learning, 9120-9132, 2020 | 166 | 2020 |
| THUMOS challenge: action recognition with a large number of classes A Gorban, H Idrees, YG Jiang, A Roshan Zamir, I Laptev, M Shah, ... URL http://www. thumos. info. Retrieved (25-05-2016), 2015 | 138* | 2015 |
| 3d scene graph: A structure for unified semantics, 3d space, and camera I Armeni, ZY He, JY Gwak, AR Zamir, M Fischer, J Malik, S Savarese Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 107 | 2019 |
| Generic 3d representation via pose estimation and matching AR Zamir, T Wekel, P Agrawal, C Wei, J Malik, S Savarese European Conference on Computer Vision, 535-553, 2016 | 92 | 2016 |
| Unsupervised semantic parsing of video collections O Sener, AR Zamir, S Savarese, A Saxena Proceedings of the IEEE International conference on Computer Vision, 4480-4488, 2015 | 91 | 2015 |
| Mid-level visual representations improve generalization and sample efficiency for learning visuomotor policies A Sax, B Emi, AR Zamir, L Guibas, S Savarese, J Malik arXiv preprint arXiv:1812.11971, 2018 | 85* | 2018 |
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaVerified email at crcv.ucf.edu
