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Prof. Trevor Darrell
CS Division, University of California, Berkeley, CA, and the International Computer Science Institute, Berkeley, CA. |
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Prof. Trevor Darrell’s group is
co-located at the University of California, Berkeley, and the UCB-affiliated
International Computer Science Institute (ICSI), also located in Berkeley, CA.
Prof. Darrell is on the faculty of the CS Division of the EECS Department at
UCB and is the vision group lead at ICSI.. Darrell’s
group develops algorithms to enable multimodal conversation with robots and
mobile devices, and methods for object and activity recognition on such
platforms. His interests include computer vision, machine learning, computer
graphics, and perception-based human computer interfaces. Prof. Darrell was
previously on the faculty of the MIT EECS department from 1999-2008, where he
directed the Vision Interface Group. He was a member of the research staff at
Interval Research Corporation from 1996-1999, and received the S.M., and PhD. degrees from MIT in 1992 and 1996,
respectively. He obtained the B.S.E. degree from the University of Pennsylvania
in 1988, having started his career in computer vision as an undergraduate
researcher in Ruzena Bajcsy's GRASP lab.
Current Teaching
CS294: Object and Activity Recognition Seminar (Spring 2012)
CS294: Object and Activity Recognition Seminar (Spring 2011)
CS280: Computer Vision (Fall 2009)
CS294: Object and Activity Recognition Seminar (Spring 2009)
Recent Presentations
Sept
2012 BAVM Invited Talk (pdf) (pptx)
UCB
Publications — (See also google scholar page and sort by year.)
S. Karayev, M. Fritz, T. Darrell, “Timely Object
Recognition”, NIPS 2012 (to appear)
O. Vinyals, Y. Jia, L. Deng, T. Darrell. “Learning with
Recursive Perceptual Representations” NIPS 2012 (to appear)
S. Chung, C. Christoudias, T. Darrell, S. Ziniel, L.
Kalish, "A Novel Image Based Tool to Reunite Children with Their Families
after Disasters", AEMJ (to appear)
T. Althoff, H. O. Song, T. Darrell, Detection Bank: An Object Detection Based Video Representation for
Multimedia Event Recognition, ACM MM 2012
J. Hoffman, B. Kulis, T. Darrell, K. Saenko, Discovering Latent Domains
for Multisource Domain Adaptation, ECCV 2012
H. O. Song, S. Zickler, T. Althoff, R. Girshick, M.
Fritz, C. Geyer, P. Felzenszwalb, T. Darrell, Sparselet Models for
Efficient Multiclass Object Detection, ECCV 2012
S. Miller, J. Van Den Berg, M. Fritz, T. Darrell, K.
Goldberg, P. Abbeel, A geometric approach to
robotic laundry folding, IJRR 2012
S. Virtanen, Y. Jia, A. Klami, T. Darrell. Factorized Multi-modal
Topic Model.
UAI 2012
Y. Xiong, K. Saenko, T. Zickler, T. Darrell, From Pixels to Physics:
Probabilistic Color De-rendering, CVPR 2012.
N. Zhang, R. Farrell, T. Darrell. Pose Pooling Kernels for
Sub-category Recognition. CVPR 2012
Y. Jia, C. Huang, T. Darrell. Beyond Spatial Pyramids:
Receptive Field Learning for Pooled Image Features, CVPR 2012
Y. Jia and T. Darrell, Heavy-tailed Distances for Gradient Based Image Descriptors,
NIPS 2011
R. Farrell, O. Oza, N. Zhang, V. Morariu, T. Darrell, and
L. Davis, Birdlets: Subordinate Categorization Using Volumetric Primitives and
Pose-Normalized Appearance, ICCV 2011.
T. Tuytelaars, M. Fritz, K. Saenko, and T. Darrell, The NBNN Kernel, ICCV 2011.
Y. Jia, M. Salzmann, and T. Darrell, Learning Cross-modality Similarity for Multinomial Data,
ICCV 2011.
S. Karayev, A. Janoch, Y. Jia, J. Barron, M. Fritz, K.
Saenko, and T. Darrell, A Category-level 3-D Database: Putting the Kinect to Work,
in ICCV 2011 Workshop on Consumer Depth Cameras for Computer Vision, 2011.
H. O. Song, M. Fritz, C. Gu and
T. Darrell, Visual Grasp Affordances From Appearance-Based Cues,
ICCV Workshop on Challenges and Opportunities in Robot Perception, 2011
P. Wang, S. Miller, M. Fritz, T. Darrell, and P. Abbeel, Perception for the Manipulation of Socks,
IROS 2011.
K. Saenko, Y. Jia, M. Fritz, J. Long, A. Janoch, A. Shyr,
S. Karayev and T. Darrell, Practical 3-D Object Detection Using Category and
Instance-Level Appearance Models, IROS 2011
S. Miller, M. Fritz, T. Darrell, and P. Abbeel, Parametrized Shape Models for Clothing,
ICRA 2011.
S. Karayev, M. Fritz, S. Fidler, and T. Darrell, A Probabilistic Model for Recursive Factorized Image
Features, CVPR 2011.
B. Kulis, K. Saenko, and T. Darrell, What You Saw is Not What You Get:
Domain Adaptation Using Asymmetric Kernel Transforms,
CVPR 2011.
A. Shyr, T. Darrell, M. Jordan, and R. Urtasun, Supervised Hierarchical Pitman-Yor Process for Natural Scene
Segmentation, CVPR 2011.
T. Owens, K. Saenko, A. Chakrabarti, Y. Xiong, T.
Zickler, and T. Darrell. Learning Object Color Models from Multi-view Constraints,
CVPR 2011.
A. Eden, M. Christoudias, and T. Darrell, Finding Lost Children, POV 2011.
Y. Jia, M. Salzmann, and T. Darrell, Factorized Latent Spaces with Structured Sparsity,
NIPS 2010.
M. Fritz, K. Saenko, and T. Darrell, Size Matters: Metric Visual Search Constraints from
Monocular Metadata,
NIPS 2010.
G. Friedland, O. Vinyals, and T. Darrell, Multimodal Location Estimation. ACM Multimedia 2010.
K. Saenko, B. Kulis, M. Fritz, and T. Darrell, Adapting Visual Category Models to New Domains,
ECCV 2010.
M. Christoudias, R. Urtasun, M.
Salzmann, and T. Darrell, Learning to Recognize Objects from Unseen Modalities, ECCV 2010.
A. Kapoor, K. Grauman, R. Urtasun, and T. Darrell, Gaussian Processes for Object Categorization,
IJCV, 2010.
M. Salzmann, C. H. Ek, R.
Urtasun, and T. Darrell. Factorized orthogonal latent spaces. UAI 2010.
M. Fritz, M. Black, G. Bradski, and T. Darrell, An Additive Latent Feature Model for Transparent Object
Recognition, NIPS 2009.
Z. Stone, T. Zickler, and T. Darrell, Toward Large-Scale Face Recognition Using Social Network
Context, Proc. of the IEEE 2010
B. Kulis and T. Darrell, Learning to Hash with Binary Reconstructive Embeddings, NIPS 2009.
K. Saenko and T. Darrell, Filtering Abstract Senses From Image Search Results, NIPS 2009.
A. Quattoni, X. Carreras, M. Collins, and T. Darrell, An Efficient Projection for L-1/L-Infinity Regularization, ICML 2009.
T. Yeh and T. Darrell, Fast Concurrent Object Localization and Recognition, CVPR 2009.
M. Christoudias, R. Urtasun, A. Kapoor and T. Darrell, Co-training with Noisy Perceptual Observations, CVPR 2009.
A. Geiger, R. Urtasun, and T. Darrell, Rank Priors for Continuous Non-Linear Dimensionality Reduction, CVPR 2009.
M. Frampton, R. Fernandez, P. Ehlen, M. Christoudias, T.
Darrell, and S. Peters (2009) Who is ``You? Combining Linguistic and Gaze Features to Resolve
Second-Person References in Dialogue, EACL 2009.
K. Saenko, K. Livescu, J. Glass, and T. Darrell, Multistream Articulatory Feature-Based Models for Visual
Speech Recognition, TPAMI 2009
K. Saenko, and T. Darrell, Unsupervised Learning of Visual Sense Models for Polysemous Word, NIPS 2008.
T. Yeh, J. Lee, and T. Darrell, Photo-based Question Answering, ACM Multimedia 2008.
T. Yeh, and T. Darrell, Multimodal Question Answering for Mobile Devices, IUI 2008.
M. Christoudias, R. Urtasun and T. Darrell, Multi-View Learning in the Presence of View Disagreement, UAI 2008.
R. Urtasun, D. J. Fleet, A. Geiger, J. Popovic, T. Darrell and N. D. Lawrence, Topologically-Constrained Latent Variable Models, ICML 2008.
M. Christoudias, R. Urtasun and T. Darrell, Unsupervised Feature Selection via Distributed Coding for Multi-view Object Recognition, CVPR 2008.
A. Quattoni, M. Collins, and T. Darrell, Transfer Learning for Image Classification with Sparse Prototype Representations, CVPR 2008.
T. Yeh, J. Lee, and T. Darrell, Dynamic Visual Category Learning, CVPR 2008.
R. Urtasun, and T. Darrell, Sparse probabilistic regression for activity-independent human pose inference, CVPR 2008.
T. Yeh, J. Lee, and T. Darrell, Scalable classifiers for Internet vision tasks, IEEE Workshop on Internet Vision 2008.
Z. Stone, T. Zickler,
and T. Darrell, Autotagging Facebook: Social Network Context Improves Photo
Annotation,
IEEE Workshop on Internet Vision 2008.
Older publications: http://www.eecs.berkeley.edu/~trevor/Publications.htm
Darrell Group (UCB/ICSI) – (Group Spotlight
Presentations)
Research Scientist:
Postdocs:
Dr. Stefanie Jegelka (Joint with
Mike Jordan)
Dr. Lorenzo Riano
(Joint with Pieter Abbeel)
Dr. Daniel
Goehring
Dr. Sergio
Guardarrama
Dr. Erik Rodner
Affiliated Postdocs:
Dr. Ross Girshick (Malik group)
PhD Students:
Previous Postdocs (not including former
students)
Dr. Brian Kulis
Dr. David Demirdjian
Dr. Raquel Urtasun
Dr. Mario Fritz
Dr. Matthieu Salzmann
Dr. Sanja Fidler (visiting)
Dr. Nicholas Cebron
Dr. Carl Ek
Dr. Peer Stelldinger
Graduated PhD. Students:
Alex Shyr, Incorporating Supervision
for Visual Recognition and Segmentation, Sept 2011 [Startup]
Ashley Eden,
Finding Lost Children, Dec 2010 [Dreamworks]
Kate Saenko, Image Sense Disambiguation: A Multimodal Approach, Aug
2009 [Faculty UML]
Tom Yeh, Interacting with Computers using Images for
Search and Automation, May 2009 [Postdoc, UMD]
Leonid Taycher, Statistical methods for dynamic visual
processing, Aug 2006 [Google Boston]
Graduated MS Students:
Previous
Graduate Visitors:
Tim Althoff
Tobias Baumgartner
Previous Classes:
Fall 2009 (Berkeley):
CS280:
Computer Vision
Spring 2009 (Berkeley): CS294-43:
Object Recognition Seminar
Spring 2007: 6.870: Intelligent
Multimodal Interfaces
Fall
2005: 6.897 Object Recognition
Seminar
Spring
2004: 6.891 Computer Vision and
Applications
Fall 2002: 6.801/6.866 Computer
Vision
Fall
2001: (6.892) Computer Vision for
Interface and Surveillance: Algorithms and Implications
Fall
2000: (6.892) Computer Vision for
Interface and Surveillance: Algorithms and Implications
Spring 2000: Vision Interface Reading
Group.
Previous Project pages:
MIT
CSAIL Vision Interfaces Group (1999-2008)
MIT Media Lab / Interval Research Corp. (1987-2001)
Meetings Organized:
Summer 2010 – CVPR
2010 (Program Chair)
Spring 2007 - ISAT study on
Exploitation of Persistent Operational Surveillance (Chair)
Spring 2006 - ISAT quick reaction
study on Adaptive and Interactive Representations (Co-Chair)
Fall 2004 - ICMI 2004
(General Chair)
Fall
2003 - NIPS Workshop on
Approximate Nearest Neighbors Methods for Learning and Vision
Fall 2003 - ICMI 2003
(Program Chair)
Fall
2001 - NIPS Workshop on Multi-Sensory Perceptive
Systems
Fall
2001 - PUI 2001
(Program Chair)
Fall
98 / Spring 99 - Interval Research Signal
Computation Seminar
May 98 - Third Bay Area Vision
Meeting (BAVM)