Yair Movshovitz-Attias
Yair Movshovitz-Attias
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Cited by
Year
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
2412017
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
1492013
How useful is photo-realistic rendering for visual learning?
Y Movshovitz-Attias, T Kanade, Y Sheikh
European Conference on Computer Vision, 202-217, 2016
832016
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
642018
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
632015
3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters
Y Movshovitz-Attias, VN Boddeti, Z Wei, Y Sheikh
BMVC, 2014
272014
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
142017
Bacteria-Filters: Persistent particle filters for background subtraction
Y Movshovitz-Attias, S Peleg
2010 IEEE International Conference on Image Processing, 677-680, 2010
62010
Dataset curation through renders and ontology matching
Y Movshovitz-Attias
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2015
42015
Fine-grained stochastic architecture search
SR Chaudhuri, E Eban, H Li, M Moroz, Y Movshovitz-Attias
arXiv preprint arXiv:2006.09581, 2020
22020
Differentiable jaccard loss approximation for training an artificial neural network
Y Movshovitz-Attias, EET Eban
US Patent 10,535,141, 2020
22020
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
22020
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
12020
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
12020
Distance metric learning using proxies
Y Movshovitz-Attias, KH Leung, S Singh, A Toshev, S Ioffe
US Patent 10,387,749, 2019
12019
Neural network compression
Y Movshovitz-Attias, E Eban
US Patent App. 15/892,890, 2019
12019
Distance Metric Learning Using Proxies
Y Movshovitz-Attias, KH Leung, S Singh, A Toshev, S Ioffe
US Patent App. 15/690,426, 2019
12019
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
12014
Persistent Particle Filters For Background Subtraction
Y Movshovitz-Attias
12010
Neighbourhood Distillation: On the benefits of non end-to-end distillation
L Shao, E Eban, Y Movshovitz-Attias
arXiv preprint arXiv:2010.01189, 2020
2020
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Articles 1–20