Sotabase

Career

· Director of Strategic Industry Engagement, MIT Schwarzman College of Computing2021–
· MIT Director, MIT-IBM Watson AI Lab2017–
· Senior Research Scientist, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)2012–
· Associate Professor, MIT Department of Brain and Cognitive Sciences2011–2012
· Assistant Professor, MIT Department of Brain and Cognitive Sciences2004–2011
· Research Assistant, Brigham and Women's Hospital, Harvard Medical School1999–2004
· Postdoctoral Researcher, University of Glasgow1996–1998
· Ph.D. in Cognitive Science, Institut National Polytechnique of Grenoble, France1995–
· French Baccalaureate in Physics and Mathematics, French Education System
· M.Sc. in Cognitive Science, Institut National Polytechnique of Grenoble, France
· M.Sc. in Experimental Psychology, Université Grenoble Alpes, France
· B.Sc. in Psychology (minor in Philosophy), University of Grenoble

Publications (601)

Learning Deep Features for Discriminative Localization
Computer Vision and Pattern Recognition · 2015
10,258
cited
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision · 2001
7,107
cited
Places: A 10 Million Image Database for Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018
4,598
cited
SUN database: Large-scale scene recognition from abbey to zoo
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2010
4,135
cited
Learning Deep Features for Scene Recognition using Places Database
Neural Information Processing Systems · 2014
3,068
cited
Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.
Psychology Review · 2006
1,731
cited
Network Dissection: Quantifying Interpretability of Deep Visual Representations
Computer Vision and Pattern Recognition · 2017
1,678
cited
Building the gist of a scene: the role of global image features in recognition.
Progress in Brain Research · 2006
1,590
cited
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Computer Vision and Pattern Recognition · 2021
1,500
cited
Object Detectors Emerge in Deep Scene CNNs
International Conference on Learning Representations · 2014
1,313
cited
Visual long-term memory has a massive storage capacity for object details
Proceedings of the National Academy of Sciences of the United States of America · 2008
1,083
cited
A feedforward architecture accounts for rapid categorization
Proceedings of the National Academy of Sciences of the United States of America · 2007
1,060
cited
What Do Different Evaluation Metrics Tell Us About Saliency Models?
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016
888
cited
From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition
1994
810
cited
Resolving human object recognition in space and time
Nature Neuroscience · 2014
783
cited
The role of context in object recognition
Trends in Cognitive Sciences · 2007
774
cited
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
Scientific Reports · 2016
709
cited
What Makes a Visualization Memorable?
IEEE Transactions on Visualization and Computer Graphics · 2013
634
cited
Moments in Time Dataset: One Million Videos for Event Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018
605
cited
Top-down control of visual attention in object detection
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429) · 2003
551
cited
Sotabase
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