| 101 human actions from videos in the wild K Soomro, AR Zamir, M Shah arXiv preprint arXiv:1212.0402, 2012 | 7533* | 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 | 2139 | 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 | 1493 | 2018 |
| 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 | 1430 | 2016 |
| Joint 2D-3D semantic data for indoor scene understanding I Armeni arXiv preprint arXiv:1702.01105, 2017 | 1055 | 2017 |
| Gibson env: Real-world perception for embodied agents F Xia*, A Zamir*, Z He*, A Sax, J Malik, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 934 | 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 | 807 | 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 | 792 | 2013 |
| 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 | 672 | 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 | 622 | 2020 |
| GMCP-tracker: Global multi-object tracking using generalized minimum clique graphs AR Zamir, A Dehghan, M Shah Computer Vision–ECCV 2012, 343-356, 2012 | 518* | 2012 |
| Accurate image localization using google street view AR Zamir, M Shah Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 486* | 2010 |
| 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 | 372 | 2019 |
| Action recognition in realistic sports videos K Soomro, AR Zamir Computer vision in sports, 181-208, 2015 | 342 | 2015 |
| MultiMAE: Multi-modal multi-task masked autoencoders R Bachmann, D Mizrahi, A Atanov, A Zamir Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 279 | 2022 |
| Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans A Eftekhar, A Sax, J Malik, A Zamir Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 266 | 2021 |
| 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 | 258 | 2017 |
| 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 | 257 | 2014 |
| Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks JO Zhang, A Sax, A Zamir, L Guibas, J Malik ECCV, 2020 | 229 | 2020 |
| Clipasso: Semantically-aware object sketching Y Vinker, E Pajouheshgar, JY Bo, RC Bachmann, AH Bermano, ... ACM Transactions on Graphics (TOG) 41 (4), 1-11, 2022 | 209 | 2022 |
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
