Overview: The primary objective of this workshop is to serve as an impetus for new research directions focused on vision system designs that are based on synergistic combinations of neuro and computer vision. Over the past 40+ years, there has been considerable interest in “biologically inspired computer vision”, with an emphasis on developing computer vision systems which are based on or “inspired by” the current state of knowledge of biological vision systems. The objective of this workshop is substantially different in that we are particularly interested in identifying synergies between human and machine vision and potential “neural interfaces” that could be used to create hybrid vision systems. An additional focus of the workshop will be on rapid scene analysis and recognition. We will not be focusing on reasoning and higher level cognition, rather we will look at recognition in the "blink" of an eye, "flash" of a CCD, and the synergistic combination of these two for rapid visual recognition.
Registration Program (slides & video) Directions Contact
Topics
The participants will consist of invited leaders from research, industry, and funding agencies. Plenary presentations will be made available to students and researchers. The program will focus on three specific topic areas;
Area 1: Neuroscience and Neural Computing
Scene analysis and object recognition via decoding neural
activity
Rapid scene recognition by human vision
Area 2: Neuro-Inspired Computer Vision
Computer models imitating neuro vision for object
recognition
Parsing a scene: "salience" and "gist"
Large-scale scene/object recognition
Area 3: Hybrid Vision Systems
Synergistic combinations of human and computer vision
Applications of Hybrid Vision Systems
Bio-neural sensing instrumentation
The invited experts will be asked to participate in breakout
sessions for discussing research challenges and identifying
future directions. After the workshop, a final report will
be produced to document the grand research challenges
identified from the workshop. It will also include concrete
recommendations of actions for NSF and other funding
agencies.
Organizers
-
Shih-Fu Chang
(slides)
Columbia University -
Paul Sajda
Columbia University
Participants
-
Jack Gallant
UC Berkeley -
Frank Tong
Vanderbilt University -
Philippe Schyns
(slides)
University of Glasgow -
Li Fei-Fei
Stanford University -
Thomas Serre
Brown (slides) -
Aude Oliva
(slides)
MIT -
Laurent Itti
USC -
Antonio Torralba
MIT (slides) -
Qiang Ji
(slides)
NSF/RPI -
Yann LeCun
New York University -
Garrett Stanley
Georgia Institute of Technology -
Charles Cadieu
UC Berkeley - Jeffrey Lubin
Sarnoff Corporation -
Chris Rozell
Georgia Institute of Technology - Amy Kruse
TMI - Liyi Dai
Army