VSS2007 Natural Scene Symposium

Natural scene understanding is one of the most challenging problems in today’s vision sciences. Tremendous progress has been made recently toward characterizing formal and neural underpinning of natural image analysis. The symposium offers a modern and multidisciplinary view on scene understanding by bringing together six speakers from the fields of computational neuroscience, neurophysiology, cognitive science and computer vision. The presentations highlight the recent advances in the study of natural scene perception, as well as present a unique opportunity to create new directions for this promising field.

May 11, 2007		Vision Sciences Society 2007 annual meeting symposium
co-chairs:		Li Fei-Fei (Princeton University); Aude Oliva (MIT)

Natural scene understanding is one of the most challenging problems in today’s vision sciences. Tremendous progress has been made recently toward characterizing formal and neural underpinning of natural image analysis. The symposium offers a modern and multidisciplinary view on scene understanding by bringing together six speakers from the fields of computational neuroscience, neurophysiology, cognitive science and computer vision. The presentations highlight the recent advances in the study of natural scene perception, as well as present a unique opportunity to create new directions for this promising field.

download the presentations here!
Simon Thorpe	CNRS, France	Ultra-Rapid Scene Processing: Temporal Constraints and Neural Computation
Bruno Olshausen	U.C. Berkeley, USA	EEG and Behavior Studies of Object Recognition in Natural Images
Irv Biederman	USC, USA	Minimal Scenes, Maximal Challenges
Russell Epstein	U. of Pennsylvania, USA	Neural Systems for Natural Scene Recognition
Aude Oliva	MIT, USA	A Scene-Centered Representation of Gist
Li Fei-Fei	Princeton U., USA	Natural Scene Categorization: from Humans to Computers