Designing Tomorrow's Category-Level 3D Object Recognition Systems:
An International Workshop
September 8 to September 10, 2003
Taormina, Sicily
Objectives
The ability to recognize living creatures and inanimate
objects in photographs or video clips is a critical enabling technology
for a wide range of applications including defense, health care,
human-computer interaction, image retrieval and data mining, industrial
and personal robotics, manufacturing, scientific image analysis, space
exploration, surveillance and security, and transportation. In fact, with
the ever expanding array of imagery sources, some form of automatic object
recognition technology must eventually be an integral part of every information
system. Despite 40 years of research, however, today's recognition
systems are still largely unable to handle the extraordinarily wide range
of appearances assumed by common objects in typical images.
The tenet of this workshop is that fundamental new advances
in automated object recognition can be achieved by integrating the sophisticated
geometric and physical image formation models developed in the computer
vision community with the effective models of data distribution and classification
procedures developed in the statistical learning theory and theoretical
computer science communities.
This three-day workshop will bring together prominent
computer vision, machine learning, and computational geometry researchers
interested in the fundamental and applicative aspects of object recognition,
as well as representative of industry and funding agencies. Its goals are
(1) to promote the creation of an international object recognition community,
with common datasets and evaluation procedures, (2) to map the state of
the art and identify the main open problems and opportunities for synergistic
research, and (3) to articulate the industrial and societal needs and opportunities
for object recognition research worldwide.
Kobus Barnard (University of Arizona) Stab Bileschi (MIT) Andrew Blake (Microsoft) Chris Bishop (Microsoft) Stefan Carlsson (Royal Intitute of Technology) Guillaume Charpiat (ENS/INRIA) Jeff Erickson (University of Illinois) Mark Everingham (Oxford) Rob Fergus (Oxford) Patrick Gallinari (Universite Pierre et Marie Curie) Martial Hebert (Carnegie Mellon University) Bernd Heisele (MIT) Yutaka Hirano (Toyota) Anthony Hoogs (GE) Katsushi Ikeuchi (University of Tokyo) David Kriegman (U.C. San Diego) Sanjiv Kumar (Carnegie Mellon University) Svetlana Lazebnik (University of Illinois) Yann LeCun (NYU) David Lowe (UBC) Jiri Matas (Czech Technical University) Steve Maybank (University of Reading) Daniel Morris (Northrop Grumman) Joe Mundy (Brown) Kevin Murphy (MIT) Jean Ponce (University of Illinois) Jim Rehg (Georgia Tech) Henri Sanson (France Telecom) Cordelia Schmid (INRIA) Bernhard Schoelkopf (MPI for Biological Cybernetics) Antonio Torralba (MIT) Bill Triggs (CNRS) Akihiro Tsukada (Toyota) Tinne Tuytelaars (KU Leuven) Shimon Ullman (Weizmann Institute) Luc Van Gool (Catholic University of Leuven) Carola Wenk (University of Arizona) Chris Williams (University of Edinburgh) Song-Chun Zhu (UCLA) Andrew Zisserman (Oxford)
Sponsors
Abstracts abstracts.pdf
Final NSF Report wreport.pdf
Sunday 7 Sept.
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Monday 8 Sept.
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Kobus Barnard |
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Bernd Heisele |
12:00-12:30 |
Kevin Murphy |
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Tuesday 9 Sept.
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Carola Wenk |
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Joe Mundy |
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11:30-12:00 |
Shimon Ullman |
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Stefan Carlsson |
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4:30-4:45 |
Henri Sanson |
4:45-5:00 |
Yutaka Hirano |
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A. Blake, S. Carlsson, J. Mundy, J. Ponce, S. Ullman |
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Wednesday 10 Sept.
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Luc Van Gool |
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Martial Hebert |
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David Kriegman |
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Song-Chun Zhu |
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Katsushi Ikeuchi |
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Advances in Component Based Face Detection
Stab Bileschi
Shape warping and statistics
Guillaume Charpiat
Scene categorization by learning repeated elements
Mark Everingham
SVM-based nonparametric discriminant analysis, an
application to face detection
Rik Fransens, Tinne Tuytelaars, Luc Van Gool
Discriminative random fields for modeling spatial
dependencies in images
Sanjiv Kumar and Martial Hebert
3D object modeling and recognition using affine-invariant patches and
multi-view spatial constraints
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, and Jean Ponce
Wide-baseline matching and object recognition using extremal
regions
Jiri Matas
Video google: a text retrieval approach to object
matching in videos
Josef Sivic and Andrew Zisserman