Alexei (Alyosha) Efros

Affiliations: 
2003 Electrical Engineering and Computer Science University of California, Berkeley, Berkeley, CA 
Area:
Computer Vision; Graphics (GR); Artificial Intelligence (AI)
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"Alexei Efros"

Parents

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Jitendra Malik grad student 2003 UC Berkeley
 (Data-driven approaches for texture and motion.)

Children

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Abhinav Shrivastava research assistant
Derek Hoiem grad student Carnegie Mellon (Robotree)
Abhinav Gupta post-doc UC Berkeley
Dinesh Jayaraman post-doc 2017- UC Berkeley (Neurotree)
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Publications

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Ginosar S, Rakelly K, Sachs S, et al. (2016) A Century of Portraits: A Visual Historical Record of American High School Yearbooks Proceedings of the Ieee International Conference On Computer Vision. 2016: 652-658
Hongwen Kang, Hebert M, Efros AA, et al. (2015) Data-Driven Objectness. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 189-95
Okura F, Vanhoey K, Bousseau A, et al. (2015) Unifying Color and Texture Transfer for Predictive Appearance Manipulation Computer Graphics Forum. 34: 53-63
Kang H, Hebert M, Efros AA, et al. (2015) Data-driven objectness Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 189-195
Zhou T, Lee YJ, Yu SX, et al. (2015) FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 1191-1200
Hays J, Efros AA. (2015) Large-scale image geolocalization Multimodal Location Estimation of Videos and Images. 41-62
Efros AA. (2014) Technical perspective portraiture in the age of big data Communications of the Acm. 57: 92
Kholgade N, Simon T, Efros A, et al. (2014) 3D object manipulation in a single photograph using stock 3D models Acm Transactions On Computer Systems. 33
Zhu JY, Lee YJ, Efros AA. (2014) AverageExplorer: Interactive exploration and alignment of visual data collections Acm Transactions On Computer Systems. 33
Aubry M, Maturana D, Efros AA, et al. (2014) Seeing 3D chairs: Exemplar part-based 2D-3D alignment using a large dataset of CAD models Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3762-3769
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