| No fuss distance metric learning using proxies Y Movshovitz-Attias, A Toshev, TK Leung, S Ioffe, S Singh Proceedings of the IEEE International Conference on Computer Vision, 360-368, 2017 | 279 | 2017 |
| Analysis of the Reputation System and User Contributions on a Question Answering Website: StackOverflow D Movshovitz-Attias, Y Movshovitz-Attias, P Steenkiste, C Faloutsos ASONAM 2013, 2013 | 154 | 2013 |
| How useful is photo-realistic rendering for visual learning? Y Movshovitz-Attias, T Kanade, Y Sheikh European Conference on Computer Vision, 202-217, 2016 | 94 | 2016 |
| Synthetic depth-of-field with a single-camera mobile phone N Wadhwa, R Garg, DE Jacobs, BE Feldman, N Kanazawa, R Carroll, ... ACM Transactions on Graphics (ToG) 37 (4), 1-13, 2018 | 76 | 2018 |
| Ontological supervision for fine grained classification of street view storefronts Y Movshovitz-Attias, Q Yu, MC Stumpe, V Shet, S Arnoud, L Yatziv Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 68 | 2015 |
| 3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters Y Movshovitz-Attias, VN Boddeti, Z Wei, Y Sheikh BMVC, 2014 | 27 | 2014 |
| Systems and Methods for Automatically Classifying Businesses from Images L Yatziv, Y Movshovitz-Attias, Q Yu, MC Stumpe, VD Shet, SC Arnoud US Patent App. 14/885,452, 2017 | 15 | 2017 |
| Bacteria-Filters: Persistent particle filters for background subtraction Y Movshovitz-Attias, S Peleg 2010 IEEE International Conference on Image Processing, 677-680, 2010 | 6 | 2010 |
| Dataset curation through renders and ontology matching Y Movshovitz-Attias CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2015 | 4 | 2015 |
| Fine-grained stochastic architecture search SR Chaudhuri, E Eban, H Li, M Moroz, Y Movshovitz-Attias arXiv preprint arXiv:2006.09581, 2020 | 3 | 2020 |
| Structured multi-hashing for model compression E Eban, Y Movshovitz-Attias, H Wu, M Sandler, A Poon, Y Idelbayev, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| Multiple networks are more efficient than one: Fast and accurate models via ensembles and cascades X Wang, D Kondratyuk, KM Kitani, Y Movshovitz-Attias, E Eban arXiv preprint arXiv:2012.01988, 2020 | 2 | 2020 |
| Differentiable jaccard loss approximation for training an artificial neural network Y Movshovitz-Attias, EET Eban US Patent 10,535,141, 2020 | 2 | 2020 |
| Sky Optimization: Semantically aware image processing of skies in low-light photography O Liba, L Cai, YT Tsai, E Eban, Y Movshovitz-Attias, Y Pritch, H Chen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 2 | 2020 |
| Neural network compression Y Movshovitz-Attias, E Eban US Patent App. 15/892,890, 2019 | 1 | 2019 |
| Distance Metric Learning Using Proxies Y Movshovitz-Attias, KH Leung, S Singh, A Toshev, S Ioffe US Patent App. 15/690,426, 2019 | 1 | 2019 |
| Physical querying with multi-modal sensing I Baek, T Stine, D Dash, F Xiao, Y Sheikh, Y Movshovitz-Attias, M Chen, ... IEEE Winter Conference on Applications of Computer Vision, 183-190, 2014 | 1 | 2014 |
| Persistent Particle Filters For Background Subtraction Y Movshovitz-Attias | 1 | 2010 |
| Neighbourhood Distillation: On the benefits of non end-to-end distillation L Shao, M Moroz, E Eban, Y Movshovitz-Attias arXiv preprint arXiv:2010.01189, 2020 | | 2020 |
| Sky Optimization: Semantically aware image processing in low-light photography O Liba, R Cai, YT Tsai, E Eban, Y Movshovitz-Attias, Y Pritch, H Chen, ... | | 2020 |
Alexander ToshevGoogleVerified email at google.com
