SUnS 07
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Scene Understanding Symposium February 1-2, 2007 MIT |
The SUnS 08website is currently in progress.
After the success of SUnS 06, we organized a second Scene Understanding Symposium on February 1-2, 2007.
SUnS 07 feature about 20 speakers from a variety of disciplines (neurophysiology, cognitive neuroscience, visual cognition, computational neuroscience and computer vision) who will address a range of topics related to real world scene understanding and natural image processing, rapid image recognition, contextual effects on object recognition, the relationships between bottom-up and top-down processes of visual information, the role of attention in complex image recognition, among others. The goal of the symposium is to encourage exchanges between researchers of all fields of brain sciences in the burgeoning field of scene understanding.
Sponsored by the McGovern Institute for Brain Research at MIT, the Department of Brain and Cognitive Sciences at MIT, the National Institutes of Health (T32 EY013935 and T32 MH020007), the National Science Foundation (IIS-CAREER award No. 0546262) and the MIT Open Course Ware.
| Organizers | Aude Oliva (oliva@mit.edu), Thomas Serre (serre@mit.edu), Antonio Torralba (torralba@csail.mit.edu) |
| Schedule | Thursday 1 February (1 pm to 6 pm) and Friday 2 February (9 am to 5 pm) |
| Location | MIT Department of Brain and Cognitive Sciences, 43 Vassar Street, Cambridge, MA 02139 - Bldg 46-3002 (campus map) |
| Registration | Click here to register - Admission is free and open to the research community but registration is required |
| Program | Download Program and Abstract Booklet here |
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Thursday
, 1 February |
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| 1:00 | Opening Remarks |
| Session |
Scene Representation: A Behavioral Perspective |
| 1:05-1:30 |
Perceiving, remembering & knowing in scene cognition: Where are the divisions? slides.pdf (Paper1, Paper2) |
| Helene Intraub | |
Psychology Dept, University of Delaware |
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| 1:35-1:50 | Transient attention when detecting pictures in RSVP search slides.pdf |
| Mary C. Potter, Rijuta Pandav, & Brad Wyble | |
Brain and Cognitive Sciences, MIT |
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| 1:55-2:10 | Automatic and Implicit Encoding of Scene Gist slides.pdf |
| Timothy Brady & Aude Oliva | |
| Brain and Cognitive Sciences, MIT | |
| 2:15 | Coffee Break |
| Session |
Scene Representation: A Cognitive Neuroscience Perspective |
| 2:30-2:55 | Neural systems for visual scene recognition (Paper1, Paper2) |
| Russell Epstein | |
| Psychology Dept and Center for Cognitive Neuroscience, University of Pennsylvania | |
| 3:00-3:25 | Different roles of the parahippocampal place area (PPA) and retrosplenial cortex (RSC) in scene perception Paper1 |
| Soojin Park & Marvin Chun | |
| Department of Psychology, Yale University | |
| 3:30:-3:45 | Natural scene classification using distributed patterns of fMRI activity |
| Li Fei-Fei, D. B. Walther, E. Caddigan & D. Beck | |
| Computer Science Department, Princeton University | |
| 3:50-4:15 | Scenes, Contextual Associations and The Brain's Default Mode (Paper1, Paper2, Paper3) |
| Moshe Bar, Elissa Aminoff, Malia Mason, Mark Fenske | |
| Martinos Center, Massachusetts General Hospital & Harvard Medical School | |
| 4:20 | Coffee Break |
| Session |
Capacity Limits on Scene and Object Processing |
| 4:40-5:00 | Robustness to Clutter and Diverted Attention in Ventral Visual Cortex |
| Leila Reddy & Nancy Kanwisher | |
| McGovern Institute for Brain Research and Brain and Cognitive Sciences, MIT | |
| 5:05-5:30 | Categorization of objects and scene context at various levels : can we always rely on fast visual processing? slides.pdf (Paper1, Paper2, Paper3) |
| Michèle Fabre-Thorpe | |
| CerCo, Universite Toulouse 3, CNRS, France | |
| 5:35-5:55 | Eye movements and high-level saliency effects in natural scenes slides.pdf (Paper1) |
| Simon J. Thorpe | |
| CerCo, Universite Toulouse 3, CNRS, France | |
| 6:00-6:20 | Rapid object categorization without conscious recognition: a neuropsychological study slides.pdf |
| Muriel Boucart | |
| University Lille 2, CNRS, Lille Hospital, France | |
| 6:25 | End |
Friday,
2 February |
|
| 8:30 | Breakfast |
| Session |
Computational Approaches to Scene and Image Understanding |
| 9:00-9:20 |
Object and scene recognition on tiny images |
| Antonio Torralba, Rob Fergus & William T. Freeman | |
| Computer Science and Artificial Intelligence Laboratory, MIT | |
| 9:25-9:45 | It's a 3D World: Toward a Qualitative 3D Representation of a Scene slides.pdf (Paper1, Paper2) |
| Alyosha Efros, Derek Hoiem & Martial Hebert | |
| Computer Science Department, Carnegie Mellon University | |
| 9:50-10:10 | Observations from Parsing Images of Architectural Scenes |
| Alexander C. Berg, Floraine Grabler, Maneesh Agrawala & Jitendra Malik | |
| Computer Science Division, Berkeley | |
| 10:15-10:40 | Hierarchical statistical models for local and global structure in natural scenes (Paper1, Paper2, Paper3) |
| Michael Lewicki | |
| Computer Science & Center for the Neural Basis of Cognition, Carnegie Mellon University | |
| 10:45 | Coffee Break |
| Session |
Scene Understanding: Role of Attentional Mechanisms and Cortical Feedback I |
| 11:10-11:30 | Neural Synchrony and Visual Search |
| Robert Desimone | |
| McGovern Institute for Brain Research, MIT | |
| 11:35-12:05 | Neurophysiological and behavioral effects of familiarity on visual search (Paper) |
| David Sheinberg & Ryan Mruczek | |
| Department of Neuroscience, Brown University | |
| 12:15 | Lunch Break |
| 1:15 | Poster Session |
| Session |
Scene Understanding: Role of Attentional Mechanisms and Cortical Feedback II |
| 2:15-2:35 | Modeling visual search in real scenes: what's the setsize? |
| Ruth Rosenholtz | |
| Brain and Cognitive Sciences, MIT | |
| 2:40-3:00 | Modeling attention to proto-objects in natural scenes slides.pdf (Paper1, Paper2, Paper3) |
| Dirk B Walther | |
| Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champagn | |
| 3:05-3:25 | Guidance of visual search by unlocalized scene properties slides.pdf |
| Jeremy Wolfe | |
| Brigham and Women's Hospital & Harvard Medical School | |
| 3:30 | Coffee Break |
| 3:55-4:25 | Feature-based attention dynamically changes shape representation in area V4 (Paper1, Paper2) |
| Jack Gallant | |
| Dept. of Psychology & Helen Wills Neuroscience Institute, Berkeley | |
| 4:30-4:50 | Immediate perception and feedforward models: what is next? slides.pdf (Paper1, Paper2) |
| Tomaso Poggio | |
| Center for Biological and Computational Learning, Computer Science and Artificial Intelligence Laboratory and McGovern Institute for Brain Research, MIT | |
| 4:55-5:00 | Concluding Remarks |
| 5:00 - 6:00 | Reception |
Artwork
by Maria Flaque |
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