Natural Sciences > Brain & Cognitive Sciences > Scene Understanding Symposium

Scene Understanding Symposium posted by duggu on 12/12/2007

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Course Highlights

This course features lecture notes and associated readings for the presentations given at the 2006 Scene Understanding Symposium.

Course Description

What are the circuits, mechanisms and representations that permit the recognition of a visual scene from just one glance? In this one-day seminar on Scene Understanding, speakers from a variety of disciplines - neurophysiology, cognitive neuroscience, visual cognition, computational neuroscience and computer vision - will address a range of topics related to scene recognition, including natural image categorization, contextual effects on object recognition, and the role of attention in scene understanding and visual art. The goal is to encourage exchanges between researchers of all fields of brain sciences in the burgeoning field of scene understanding

Syllabus

Description

What are the circuits, mechanisms and representations that permit the recognition of a visual scene from just one glance? In this first symposium on Scene Understanding, speakers from a variety of disciplines - neurophysiology, cognitive neuroscience, visual cognition, computational neuroscience and computer vision - will address a range of topics related to scene recognition, including natural image categorization, contextual effects on object recognition, and the role of attention in scene understanding and visual art. The goal is to encourage exchanges between researchers of all fields of brain sciences in the burgeoning field of scene understanding.

Registration

Admission is free and open to the research community.

Organizers

Prof. Aude Oliva, MIT Brain and Cognitive Sciences

Thomas Serre, MIT McGovern Institute

Antonio Torralba, MIT Computer Science and Artificial Intelligence Laboratory

Sponsored by The Center for Biological and Computational Learning, The Department of Brain and Cognitive Sciences, and The McGovern Institute for Brain Research, MIT.

Calendar

Course calendar.
TIME	TOPICS	SPEAKERS
8:55	Opening Remarks
9:00-9:20	From Zero to Gist in 200 msec: The Time Course of Scene Recognition	Aude Oliva and Michelle Greene, MIT Brain and Cognitive Sciences
9:20-9:45	Feedforward Theories of Visual Cortex Predict Human Performance in Rapid Image Categorization	Thomas Serre and Tomaso Poggio, MIT McGovern Institute
9:45-10:05	Latency, Duration and Codes for Objects in Inferior Temporal Cortex	Gabriel Kreiman, Chou Hung, Tomaso Poggio and James DiCarlo, MIT McGovern Institute and Brain and Cognitive Sciences
10:25-10:50	From Feedforward Vision to Natural Vision: The Impact of Free Viewing, Task, and Clutter on Monkey Inferior Temporal Object Representations	James DiCarlo, MIT McGovern Institute
10:50-11:10	Invariant Visual Representations of Natural Images by Single Neurons in the Human Brain	Leila Reddy (MIT McGovern Institute), Rodrigo Quian Quiroga, Gabriel Kreiman, Christof Koch and Itzhak Fried
11:10-11:40	Perception of Objects in Natural Scenes and the Role of Attention	Anne Treisman and Karla Evans, Princeton University
1:00-1:25	Natural Scene Categorization: From Humans to Computers	Li Fei-Fei (Beckman Institute, University of Illinois at Urbana-Champaign), Rufin VanRullen, Asha Iyer, Christof Koch and Pietro Perona
1:25-1:50	Contextual Associations in the Brain	Moshe Bar, Elissa Aminoff and Nurit Gronau, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School
1:50-2:15	Using the Forest to See the Trees: A Computational Model Relating Features, Objects and Scenes	Antonio Torralba, MIT Computer Science and Artificial Intelligence Laboratory
2:25-2:45	Detecting and Remembering Pictures With and Without Visual Noise	Mary Potter and Ming Meng, MIT Brain and Cognitive Sciences
2:45-3:05	Scene Perception after Those First Few Hundred Milliseconds	Jeremy Wolfe, Brigham and Women's Hospital and Harvard Medical School
3:05-3:35	The Artist as Neuroscientist	Patrick Cavanagh, Vision Sciences Lab, Department of Psychology, Harvard University
4:00-5:00	Brain and Cognitive Sciences Colloquium - Scene Processing with a Wave of Spikes: Reverse Engineering the Visual System	Simon Thorpe, CNRS and SpikeNet Technology, France

Readings

The following table lists the papers associated with each presentation at the 2006 Scene Understanding Symposium. All readings are courtesy of the person named and used with permission.

Course readings.
TIME	TOPICS	READINGS
8:55	Opening Remarks
9:00-9:20	From Zero to Gist in 200 msec: The Time Course of Scene Recognition	Oliva, Aude, and Antonio Torralba. "Building the Gist of a Scene: The Role of Global Image Features in Recognition." (PDF - 1.0 MB) Greene, Michelle R., and Aude Oliva. "Natural Scene Categorization from Conjunctions of Ecological Global Properties." (PDF)
9:20-9:45	Feedforward Theories of Visual Cortex Predict Human Performance in Rapid Image Categorization	Serre, Thomas, Minjoon Kouh, Charles Cadieu, Ulf Knoblich, Gabriel Kreiman, and Tomaso Poggio. "A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex." (PDF - 6.1 MB) Serre, Thomas, Lior Wolf, and Tomaso Poggio. "Object Recognition with Features Inspired by Visual Cortex." (PDF)
9:45-10:05	Latency, Duration and Codes for Objects in Inferior Temporal Cortex	Hung, Chou P., Gabriel Kreiman, Tomaso Poggio, and James J. DiCarlo. "Fast Readout of Object Identity from Macaque Inferior Temporal Cortex." Science 310 (2005): 863-866. Kreiman, Gabriel, Chou P. Hung, Alexander Karskov, Rodrigo Quian Quiroga, Tomaso Poggio, and James J. DiCarlo. "Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex." Neuron 49 (2006): 433-445.
10:25-10:50	From Feedforward Vision to Natural Vision: The Impact of Free Viewing, Task, and Clutter on Monkey Inferior Temporal Object Representations	DiCarlo, James J., and John H. R. Maunsell. "Form Representation in Monkey Inferotemporal Cortex Is Virtually Unaltered by Free Viewing." Nature Neuroscience 3 (2000): 814-821. Zoccolan, Davide, David D. Cox, and James J. DiCarlo. "Multiple Object Response Normalization in Monkey Inferotemporal Cortex." The Journal of Neuroscience 25 (2005): 8150-8164. Hung, Chou P., Gabriel Kreiman, Tomaso Poggio, and James J. DiCarlo. "Fast Readout of Object Identity from Macaque Inferior Temporal Cortex." Science 310 (2005): 863-866.
10:50-11:10	Invariant Visual Representations of Natural Images by Single Neurons in the Human Brain	Quiroga, R. Quian, L. Reddy, G. Kreiman, C. Koch, and I. Fried. "Invariant Visual Representation by Single Neurons in the Human Brain." Nature 435 (2005): 1102-1107.
11:10-11:40	Perception of Objects in Natural Scenes and the Role of Attention	Evans, Karla K., and Anne Treisman. "Perception of Objects in Natural Scenes: Is It Really Attention Free?" Journal of Experimental Psychology: Human Perception and Performance 31 (2005): 1476-1492.
1:00-1:25	Natural Scene Categorization: From Humans to Computers
1:25-1:50	Contextual Associations in the Brain	Bar, Moshe. "Visual Objects in Context." Nature Reviews 5 (2004): 617-629.
1:50-2:15	Using the Forest to See the Trees: A Computational Model Relating Features, Objects and Scenes	Torralba, Antonio. "Contextual Priming for Object Detection." International Journal of Computer Vision 53 (2003): 169-191. Murphy, Kevin, Antonio Torralba, and William T. Freeman. "Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes." (PDF) Oliva, Aude, Antonio Torralba, Monica S. Castelhano, and John M. Henderson. "Top Down Control of Visual Attention in Object Detection." (PDF)
2:25-2:45	Detecting and Remembering Pictures With and Without Visual Noise
2:45-3:05	Scene Perception after Those First Few Hundred Milliseconds	Oliva, Aude, Jeremy M. Wolfe, and Helga C. Arsenio. "Panoramic Search: The Interaction of Memory and Vision in Search Through a Familiar Scene." Journal of Experimental Psychology: Human Perception and Performance 30 (2004): 1132-1146. Wolfe, Jeremy M. "Guided Search 4.0: Current Progress with a Model of Visual Search." (PDF)
3:05-3:35	The Artist as Neuroscientist
4:00-5:00	Brain and Cognitive Sciences Colloquium - Scene Processing with a Wave of Spikes: Reverse Engineering the Visual System