Advisor Pedro

F. Felzenszwalb

Mentor Jitendra Malik

Ross B. Girshick

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ROSS B. GIRSHICK rbg@eecs.berkeley.edu
Postdoctoral Fellow
Department of Electrical Engineering and Computer Science
UC Berkeley
www: http://www.cs.berkeley.edu/˜rbg
Education
University of Chicago Apr. 2012
Ph.D. in Computer Science
Advisor: Pedro F. Felzenszwalb
University of Chicago Dec. 2009
M.S. in Computer Science
Advisor: Pedro F. Felzenszwalb
Brandeis University May 2004
B.S. in Computer Science
Appointments
UC Berkeley, Postdoctoral Fellow, EECS Sep. 2012 - present
Mentor: Jitendra Malik
Awards and Scholarships
Outstanding Reviewer Award CVPR 2011
PASCAL VOC Challenge “Lifetime Achievement” Prize 2010
1st place PASCAL VOC Challenge (detection) 2009
1st place PASCAL VOC Challenge (detection) 2008
Best student presentation, International Computer Vision Summer School, Sicily, Italy 2009
ARCS Foundation Scholar, Chicago chapter, $10,000 annual award 2008 – 2011
Internships
Research intern at Microsoft Research Cambridge, UK Feb. – Mar. 2011
Advisors: Jamie Shotton (primary), Andrew Fitzgibbon, Pushmeet Kohli, Antonio Criminisi
Research intern at Microsoft Research Cambridge, UK Jul. – Oct. 2010
Advisors: Jamie Shotton (primary), Andrew Fitzgibbon, Pushmeet Kohli, Antonio Criminisi
Journal Publications (Peer Reviewed)
1. H. O. Song, R. Girshick, S. Zickler, C. Geyer, P. Felzenszwalb, T. Darrell. Generalized Sparselet
Models for Real-Time Multiclass Object Recognition. Accepted to IEEE Transactions on Pattern
Analysis and Machine Intelligence, 2014.
2. J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook, M. Finocchio, R. Moore, P. Kohli, A.
Criminisi, A. Kipman, A. Blake. Efﬁcient Human Pose Estimation from Single Depth Images. IEEETransactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 12, Dec. 2013.
3. P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. Object Detection with Discriminatively
Trained Part Based Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.
32, No. 9, Sept. 2010.
Conference Publications (Peer Reviewed)
1. B. Hariharan, P. Arbel´ aez, R. Girshick, J. Malik. Simultaneous Detection and Segmentation. Euro-
pean Conference on Computer Vision (ECCV), 2014.
2. S. Gupta, R. Girshick, P. Arbel´ aez, J. Malik. Learning Rich Features from RGB-D Images for Object
Detection and Segmentation. European Conference on Computer Vision (ECCV), 2014.
3. Pulkit Agrawal, R. Girshick, J. Malik. Analyzing the Performance of Multilayer Neural Networks for
Object Recognition. European Conference on Computer Vision (ECCV), 2014.
4. N. Zhang, J. Donahue, R. Girshick, T. Darrell. Part-based R-CNNs for Fine-grained Category Detec-
tion. European Conference on Computer Vision (ECCV), 2014.
5. H. O. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui, T. Darrell. On learning to localize objects
with minimal supervision. International Conference on Machine Learning (ICML), 2014.
6. R. Girshick, J. Donahue, T. Darrell, J. Malik. Rich feature hierarchies for accurate object detection
and semantic segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2014.
7. G. Gkioxari, B. Hariharan, R. Girshick, J. Malik. Using k-poselets for detecting people and localizing
their keypoints. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
8. A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, R. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M.
B. Blaschko, D. Weiss, B. Taskar, K. Simonyan, N. Saphra, S. Mohamed. Understanding Objects in
Detail with Fine-grained Attributes. IEEE Conference on Computer Vision and Pattern Recognition
(CVPR), 2014.
9. R. Girshick, J. Malik. Training Deformable Part Models with Decorrelated Features. IEEE Interna-
tional Conference on Computer Vision (ICCV), 2013.
10. R. Girshick, H. O. Song, T. Darrell. Discriminatively Activated Sparselets. International Conference
on Machine Learning (ICML), 2013.
11. H.O. Song, S. Zickler, T. Althoff, R. Girshick, M. Fritz, C. Geyer, P. Felzenszwalb, T. Darrell. Sparse-
let Models for Efﬁcient Multiclass Object Detection. European Conference on Computer Vision
(ECCV), 2012.
12. R. Girshick, P. Felzenszwalb, D. McAllester. Object Detection with Grammar Models. Neural Infor-
mation Processing Systems (NIPS), 2011.
13. R. Girshick, J. Shotton, P. Kohli, A. Criminisi, A. Fitzgibbon. Efﬁcient Regression of General-
Activity Human Poses from Depth Images. IEEE International Conference on Computer Vision
(ICCV), 2011.
14. P.Felzenszwalb, R.Girshick, D.McAllester. CascadeObjectDetectionwithDeformablePartModels.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
15. R. Basri, P. Felzenszwalb, R. Girshick, D. Jacobs, C. Klivans. Visibility Constraints on Features of
3D Objects. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
16. R. Girshick. Simulating Chinese Brush Painting: The Parametric Hairy Brush. ACM SIGGRAPH2004 Posters.
Other Publications
1. P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. Visual Object Detection with Deformable
Part Models. Communications of the ACM, Number 9, Pages 97-105, August 2013.
2. P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. Discriminative Latent Variable Models for
Object Detection. Invited Applications Paper, International Conference on Machine Learning (ICML)
2010.
3. P. Felzenszwalb, R. Girshick, D. McAllester. Discriminatively Trained Part Based Models. The
PASCAL Visual Object Classes Challenge Workshop, ICCV 2009, Kyoto, Japan.
4. P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. Discriminatively Trained Mixtures of
Deformable Part Models. The PASCAL Visual Object Classes Challenge Workshop, ECCV 2008,
Marseille, France.
Patents
1. Predicting Joint Positions. J.D.J. Shotton, P. Kohli, R.B. Girshick, A. Fitzgibbon, A. Criminisi. US
Patent No. 8,571,263 Oct. 29, 2013.
2. Human Body Pose Estimation. J.D.J. Shotton, S. Izadi, O. Hilliges, D. Kim, D.G. Molyneaux, M.D.
Cook, P. Kohli, A. Criminisi, R.B. Girshick, and A.W. Fitzgibbon. US Patent No. 8,638,985 Jan. 28,
2014.
Invited Talks
Learning architectures for visual object recognition
- University of Michigan, Ann Arbor, March 2014
- UC San Diego, San Diego, February 2014
- TTI Chicago, Chicago, February 2014
- Adobe CTL, San Francisco, February 2014
- Microsoft Research, Redmond, February 2014
- Facebook AI Group, Menlo Park, January 2014
Rich feature hierarchies for accurate object detection and semantic segmentation
- ImageNet Large-Scale Visual Recognition Challenge workshop, ICCV 2013,
Sydney, Australia, Dec. 2013
- Berkeley Vision and Learning Center, UC Berkeley, November 2013
A (mini) Tutorial on Object Detection
- Adobe Research, San Francisco, August 2013
From Rigid Templates to Grammars: Object Detection with Structured Models
- VCL Seminar, UC Berkeley, EECS, October 2012
- Google Tech Talk, Google Mountain View, CA, October 2012
Object detection with heuristic coarse-to-ﬁne search
- International Computer Vision Summer School (ICVSS), Sicily, July 2009
Best student speaker prize
- Illinois Computer Vision Workshop, TTI-C, May 2009
Discriminatively trained mixtures of deformable part models for detection- Illinois Computer Vision Workshop, UIUC, October 2008
An introduction to object recognition with deformable part models
- CS graduate student seminar, University of Chicago, October 2008
Open-source Software
voc-releasef2,3,4,5g widely-used object detection software (MATLAB and C++)
http://www.cs.berkeley.edu/˜rbg/latent
Downloaded 3,445 times from Nov. 1, 2012 - Nov. 1, 2013 (12 months)
Cascade object detection with deformable part models (MATLAB C++)
http://www.cs.berkeley.edu/˜rbg/star-cascade
Downloaded 331 times from Sept. 5, 2012 - Aug. 27, 2013 (12 months)
Work Experience
SmarterTravel.com 2004 – 2007
Last position held: senior software engineer
References
Contact information available upon request
Pedro Felzenszwalb, Associate Professor, Engineering and Computer Science, Brown University
David McAllester, Professor and Chief Academic Ofﬁcer, Toyota Technological Institute at Chicago (TTI)
Jitendra Malik, Arthur J. Chick Professor of EECS, UC Berkeley
David Forsyth, Professor of CS, University of Illinois at Urbana-Champaign (UIUC)

PASCAL VOC Challenge “Lifetime Achievement ” Prize 2010

http://www.cs.berkeley.edu/~rbg/papers/cv.pdf

PASCAL VOC Challenge “Lifetime Achievement ” Prize 2010

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