Yair Movshovitz-Attias
Yair Movshovitz-Attias
Google Research
Verified email at google.com - Homepage
TitleCited byYear
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
1092013
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
722017
How useful is photo-realistic rendering for visual learning?
Y Movshovitz-Attias, T Kanade, Y Sheikh
European Conference on Computer Vision, 202-217, 2016
502016
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
442015
3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters
Y Movshovitz-Attias, VN Boddeti, Z Wei, Y Sheikh
BMVC, 2014
262014
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), 64, 2018
182018
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
52010
Dataset curation through renders and ontology matching
Y Movshovitz-Attias
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2015
32015
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
NEURAL NETWORK COMPRESSION
Y Movshovitz-attias, E Eban
US Patent App. 15/892,890, 2019
2019
Audio noise reduction using synchronized recordings
Y Movshovitz-attias, EET Eban
US Patent App. 16/059,293, 2019
2019
Distance Metric Learning Using Proxies
Y Movshovitz-Attias, KH Leung, S Singh, A Toshev, S Ioffe
US Patent App. 15/710,377, 2019
2019
Distance Metric Learning Using Proxies
Y Movshovitz-Attias, KH Leung, S Singh, A Toshev, S Ioffe
US Patent App. 15/690,426, 2019
2019
Design of neural networks based on cost estimation
Y Movshovitz-Attias, A Poon, A Gordon, EET Eban
2019
Weight compression for deep networks using Kronecker products
Y Movshovitz-Attias, E Eban
2018
Few-shot learning using generative modeling
KH Leung, A Toshev, N Hegde, Y Movshovitz-Attias
2018
Runtime Model Recommendation for Exemplar-based Object Detection
F Xiao, M Hebert, Y Sheikh, Y Movshovitz-Attias, M Chen, D Dash
Technical report, Robotics Institute, Carnegie Mellon University, 2014
2014
Persistent Particle Filters For Background Subtraction
Y Movshovitz-Attias
2010
HARCHOL-BALTER, Mor CMU-CS-15-141, CMU-CS-15-141R HARKES, Jan CMU-CS-15-115 HAUPTMANN, Alex CMU-CS-15-103 HE, Wangzi CMU-CS-15-129
W HU, L JIANG, K JOSHI, A KARANDIKAR, SD KLEE, A KOMURAVELLI, ...
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