Sotabase

Career

· Co-founder, Meta AI (formerly Facebook Artificial Intelligence Research - FAIR)2013–
· Co-founder, Computational Intelligence, Learning, Vision, and Robotics (CILVR) Lab at NYU2009–
· Professor, New York University2007–
· Postdoctoral Researcher, Massachusetts Institute of Technology (MIT)2005–
· D.Phil. in Electrical Engineering, University of Oxford2002–
· M.Sc. in Electrical Engineering, California Institute of Technology2000–
· B.A., M.Eng. in Electrical and Information Engineering, University of Cambridge1996–

Publications (246)

Visualizing and Understanding Convolutional Networks
European Conference on Computer Vision · 2013
16,721
cited
Intriguing properties of neural networks
International Conference on Learning Representations · 2013
16,122
cited
Learning Spatiotemporal Features with 3D Convolutional Networks
IEEE International Conference on Computer Vision · 2014
8,976
cited
Indoor Segmentation and Support Inference from RGBD Images
European Conference on Computer Vision · 2012
6,281
cited
Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
2004 Conference on Computer Vision and Pattern Recognition Workshop · 2004
5,525
cited
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
International Conference on Learning Representations · 2013
5,102
cited
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Neural Information Processing Systems · 2014
4,483
cited
One-shot learning of object categories
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2006
3,291
cited
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
IEEE International Conference on Computer Vision · 2014
2,798
cited
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
Proceedings of the National Academy of Sciences of the United States of America · 2019
2,730
cited
End-To-End Memory Networks
Neural Information Processing Systems · 2015
2,675
cited
Regularization of Neural Networks using DropConnect
International Conference on Machine Learning · 2013
2,619
cited
Object class recognition by unsupervised scale-invariant learning
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. · 2003
2,532
cited
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Neural Information Processing Systems · 2015
2,315
cited
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Neural Information Processing Systems · 2014
1,792
cited
Deconvolutional networks
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2010
1,655
cited
Image and depth from a conventional camera with a coded aperture
ACM Transactions on Graphics · 2007
1,543
cited
Ieee Transactions on Pattern Analysis and Machine Intelligence 1 80 Million Tiny Images: a Large Dataset for Non-parametric Object and Scene Recognition
1,478
cited
Fast Image Deconvolution using Hyper-Laplacian Priors
Neural Information Processing Systems · 2009
1,450
cited
Adaptive deconvolutional networks for mid and high level feature learning
Vision · 2011
1,284
cited
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