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Computational Visual Cognition Laboratory |
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Short BiosketchI am Associate Professor in the Department of Brain and Cognitive Science at MIT, leading the Computational Visual Cognition Laboratory, a research team, part of the Perceptual Science Group. My Laboratory is also affiliated with the Athinoula A. Martinos Imaging Center @ McGovern Institute for Brain Research. In 2006, I was awarded a five years National Science Foundation CAREER Award in Computational Neuroscience (IIS) to conduct human behavioral and computational research on Visual Scene Understanding. Research ProgramsMy research program is in the field of Computational Visual Cognition, a framework that strives to identify the substrates of complex visual recognition tasks (using behavioral, eyetracking and imaging methods) and to develop models inspired by human cognition. The results of characterizing human perceptual and cognitive abilities and limitations in a natural setting not only holds promise for inspiring the next generation of artificial vision systems, but also gives invaluable insights for the understanding of visual and cognitive disorders, a novel research step of the laboratory (See our research web page for more detailed descriptions) Selected PublicationsVisual long-term memoryBrady, T.F., Konkle, T., Alvarez, G.A., & Oliva, A. (2008). Visual long-term memory has a massive storage capacity for object details. Proceedings of the National Academy of Sciences, USA, vol 105 (38), 14325-14329.abstractwebsitearticle Contextual Guidance in Real World ScenesTorralba, A., Oliva, A., Catelhano, M., & Henderson, J.M. (2006). Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. Psychological Review, 113, 766-786.abstractarticlewebsite Scene Gist UnderstandingGreene, M.R., & Oliva, A. (2009). Recognition of Natural Scenes from Global Properties: Seeing the Forest Without Representing the Trees. Cognitive Psychology, 58(2), 137-179. abstractarticle Oliva, A., & Torralba, A. (2001). Modeling the Shape of the Scene: a Holistic Representation of the Spatial Envelope. International Journal in Computer Vision, 42, 145-175. abstractarticledatabase Schyns, P.G. & Oliva, A. (1994). From blobs to boundary edges: Evidence for time- and spatial-scale-dependent scene recognition. Psychological Science, 5, 195-200 abstractarticle Hybrid ImagesOliva, A., Torralba, A. & Schyns, P.G. (2006). Hybrid Images. ACM Transactions on Graphics (Siggraph), 25, 3, 527-532.abstractarticleslideswebsite ReviewsOliva, A. & Torralba, A. (2007). The Role of Context in Object Recognition. Trends in Cognitive Sciences, 11(12), 520-527. abstractarticle Oliva, A. & Torralba, A. (2006). Building the Gist of a Scene: The Role of Global Image Features in Recognition. Progress in Brain Research: Visual perception, 155, 23-36. abstractlow resolution articlehigh resolution article (30mb) Current Collaborators
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| Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 46-4078, Cambridge, MA 02139 Phone: 617 258 9675 | cvcl.mit@gmail.com |
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