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Daniel
Huttenlocher of
Computing, Information Science and Business
Computer Science Department dph “at”
cs.cornell.edu |
Research
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My research in computer
vision ranges from theoretical
algorithms (using techniques from computational geometry and
graph algorithms) to the development of end-to-end
systems that apply visual matching and recognition
techniques. Some of my computer
vision work includes:
My research on the Web and large-scale social networks is
focused on developing models and measures that allow us to better study and
understand how people interact with one another, particularly in
computer-mediated environments.
For instance, how does the structure of a social network influence
one’s propensity to undertake certain actions? There is a long history of study of
such questions in the social sciences, primarily for small-scale networks
that can be mapped out by hand.
While computer and information scientists have been studying
large-scale networks, their focus has been more on the network properties and
less on testing and extending existing social science theories of social
interaction. My work on autonomous vehicles grows out of my
role as co-leader of Team Cornell’s entry in the DARPA Urban Challenge
race. Our vehicle was one of 6
out of 11 finalists (and 35 semi-finalists) to complete the race. The students on our team made all the
design decisions and did an outstanding job overall. While the Urban Challenge and the
Grand Challenges before that have led to enormous progress in autonomous
driving, the race also highlighted some fundamental research questions that
remain to be addressed in order to enable perception and reasoning about the
actions and intentions of other vehicles. For example, the fender bender between
our vehicle and MIT’s could have been avoided if either system had been
able to perceive what the other was doing over an extended time period (i.e.,
perceive actions in addition to locations and velocities). Such issues form
the basis of my current and planned research in the area. My research on geometric
algorithms includes efficient algorithms for computing Hausdorff
distances and related distance transforms, as well as techniques for
comparing three-dimensional protein structures. My work on interactive
document systems has often incorporated computer vision techniques, and
includes:
My
interest in electronic trading systems focuses primarily on illiquid
or thinly-traded markets, where conventional auction and exchange mechanisms
are not very effective ways of making trades. My
interest in software development methodologies stems from my
involvement in the creation of large, complex software systems at Xerox
Corporation and Intelligent Markets.
Through these activities I have come to believe that: ·
We need more clearly stated principles of
software development that can help guide the choice of appropriate
development practices for a given software project. Too much of software development
methodology is aimed at practices without a deeper understanding of
underlying principles. ·
Training of software developers requires a better
understanding of the fact that software is an intellectual work product,
in many ways more akin to a legal brief, an architectural plan, or an ad campaign,
than to a physical or electronic device.
As such, I believe that training programs for software developers
should be modeled more on professional programs such as law, business,
architecture or design. |
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Object Recognition
and Detection
Segmentation
and Low-Level Vision Algorithms ·
Learning for Optical Flow using Stochastic
Optimization, Proceedings of European Conference on Computer Vision
(ECCV), 2008 (with Y. Li). ·
Sparse Long-Range Random Field and its
Application to Image Denoising, Proceedings of
European Conference on Computer Vision (ECCV), 2008 (with Y. Li). ·
Learning for Stereo
Vision Using the Structured Support Vector Machine, Proceedings of the
IEEE Computer Vision and Pattern Recognition Conference, 2008 (with Y. Li). ·
Efficient Belief
Propagation with Learned Higher-Order Markov Random Fields, Proceedings
of ECCV, 2006 (with X. Lan, S. Roth and M. Black). ·
Efficient Belief
Propagation for Early Vision, to appear in Intl. Journal of Computer
Vision (with P. Felzenszwalb). Conference
version from IEEE CVPR, Vol 1, pp. 261-268,
2004.
CODE ·
Efficient
Graph-Based Image Segmentation, Intl. Journal of Computer Vision,
vol. 59, no. 2, pp. 167-181, 2004 (with P. Felzenszwalb). CODE The
Web and Large-Scale Social Networks ·
Feedback Effects between Similarity and Social
Influence in Online Communities, Proceedings of
Fourteenth ACM Conference on Knowledge Discovery and Data Mining (KDD) 2008 (with D. Crandall,
D. Cosley, J. Kleinberg and ·
Group Formation in Large Social Networks:
Membership, Growth, and Evolution, Proceedings of KDD (with L.
Backstrom, J. Kleinberg and X. Lan), 2006. ·
Traffic-Based
Feedback on the Web. Proceedings of the ·
Fast Algorithms
for Large State Space HMM’s with Applications
to Web Usage Analysis, Advances in Neural Information Processing Systems
(NIPS) 16, December 2003 (with P. Felzenszwalb and J. Kleinberg). Tracking
Geometric
Algorithms
Interactive
Document Systems
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·
Online Social
Networks, Phi Beta Kappa Visiting Scholar Public Lecture, 2007-08 ·
Team Cornell’s Entry in
DARPA Urban Challenge, 2007-08 (video of Google Techtalk) ·
Object Recognition Without Feature Detection, Oxford 2007. ·
Speeding Up Belief
Propagation for Early Vision, MSRI Workshop, Feburary
2005 ·
Graphical Models for Finding
People in Images, Rank Workshop, January 2005 ·
Fast Matching
Algorithms, part of a short course given with Phil Torr at ICCV 2003. |
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In Fall 2008 I am
teaching
NBA600 on the strategic role of
information technology and NBA610 on the management of technology-driven
businesses using bio, info and nano technologies
(jointly with Bruce Ganem). In Spring
2008 I taught computer vision, CS664. I have also
recently taught CS312,
a course on data structures and functional programming. Previously Brian
Smith and I created and taught the Web Design course, CS130.
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Professional
Activities |
For
many years (1988-1999) I worked with Xerox PARC on electronic document image
processing. More recently I have
been working with Intelligent Markets
on electronic trading systems. In 1998-99
I chaired the Cornell Task Force on Computing and Information, which led to
the creation of the Faculty of Computing
and Information Science. In
2005-06 I also chaired the Cornell Task Force on Wisdom in the
Age of Information. I am
general co-chair for CVPR 2009 in Miami and was general co-chair of CVPR in
2006 in NYC as well as program co-chair of CVPR in 2001 and 1997 (CVPR
is the main North American computer vision conference). |
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Other
Interests |
My
favorite non-computer-geek activity is snowboarding (but without the mtv-extreme-sports-way-too-cool attitude). |
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Last
Updated: July 2008 |
