Yair Alon
Yair Alon
Other namesYair Movshovitz-Attias
Verified email at - Homepage
Cited by
Cited by
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
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
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
How useful is photo-realistic rendering for visual learning?
Y Movshovitz-Attias, T Kanade, Y Sheikh
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
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
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
3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters
Y Movshovitz-Attias, VN Boddeti, Z Wei, Y Sheikh
BMVC, 2014
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
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
Fine-grained stochastic architecture search
SR Chaudhuri, E Eban, H Li, M Moroz, Y Movshovitz-Attias
arXiv preprint arXiv:2006.09581, 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
Differentiable jaccard loss approximation for training an artificial neural network
Y Movshovitz-Attias, EET Eban
US Patent 10,535,141, 2020
Neural network compression
Y Movshovitz-Attias, E Eban
US Patent App. 15/892,890, 2019
Distance Metric Learning Using Proxies
Y Movshovitz-Attias, KH Leung, S Singh, A Toshev, S Ioffe
US Patent App. 15/690,426, 2019
Bacteria-Filters: Persistent particle filters for background subtraction
Y Movshovitz-Attias, S Peleg
2010 IEEE International Conference on Image Processing, 677-680, 2010
Dataset curation through renders and ontology matching
Y Movshovitz-Attias
Ph. D. thesis, Carnegie Mellon University, 2015
Weight compression for deep networks using Kronecker products
Y Movshovitz-Attias, E Eban
Distance metric learning using proxies
Y Movshovitz-Attias, KH Leung, S Singh, A Toshev, S Ioffe
US Patent 10,387,749, 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
Persistent Particle Filters For Background Subtraction
Y Movshovitz-Attias
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