Ross B. Girshick URL

Ross B. Girshick

Research Scientist

Facebook AI Research (FAIR)

Researcher

Microsoft
Research, Redmond

Postdoctoral
fellow

University
of California, Berkeley, EECS

r......@eecs.berkeley.edu

cv / google
scholar / Ph.D.
thesis

papers: arXiv / journal / conference

MSR
website

from: http://www.cs.berkeley.edu/~rbg/

About me

I finished my Ph.D. in computer vision at The
University of Chicago under the supervision of Pedro
Felzenszwalb in April 2012. Then, I spent two unbelievably wonderful years as a postdoc at UC
Berkeleyunder Jitendra
Malik. From Berkeley, I spent just over one year as a Researcher at Microsoft Research, Redmond. Now, I'm off on a new adventure as a Research Scientist with the terrific group of researchers and engineers in Facebook AI Research (FAIR).

My main research interests are in computer vision, AI, and machine learning. I'm particularly focused on building models for object detection and recognition. These models aim to incorporate the "right" biases so that machine learning algorithms can understand
image content from moderate to large-scale datasets. I always have an eye towards fast systems that work well in practice.

During my Ph.D., I spent time as a research intern at Microsoft
Research Cambridge, UK working on human pose estimation from (Kinect) depth images. I also participated in several first-place entries into the PASCAL VOC object detection challenge, and was awarded a "lifetime achievement" prize for
my work on deformable part models. I think this refers to the lifetime of the PASCAL challenge—and not mine!

News

Sean Bell led our team, together
with Kavita Bala and Larry Zitnick, to 3rd place in the 2015 MS COCO object detection challenge! Sean also won the prize for the best student-led entry. Check out our tech
report describing the ION (inside-outside network) detector:


Faster R-CNN: paper / Python
code / Matlab
code


Fast R-CNN: paper / code

Project pages

Faster
R-CNN github repository (Python source code for training and using Faster R-CNN)

Fast
R-CNN github repository (Python source code for training and using Fast R-CNN)

R-CNN
github repository (Matlab source code for training and using R-CNN)

<a href="http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/sds/" <="" a="" style="margin: 0pt; padding: 0pt; border: 0pt none; font-family: inherit; font-style: inherit; font-weight: inherit; outline: invert none 0pt; vertical-align: baseline;
color: rgb(23, 114, 208); text-decoration: none;">SDS: Simultaneous Detection and Segmentation

R-CNN
(and more!) for RGB-D data

LSDA:
Large Scale Detection through Adaptation

Deformable
Part Models (DPM) (voc-release5 — dissertation code / includes cascade and NIPS grammar model)

Cascade
object detection with deformable part models (add-on code for voc-release4.01)

arXiv tech reports

Inside-Outside
Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross Girshick

arXiv [cs.CV]

abstract / bibtex



Object
Detection Networks on Convolutional Feature Maps

Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, Jian Sun

arXiv [cs.CV]

bibtex

Journal papers

Region-based
Convolutional Networks for Accurate Object Detection and Semantic Segmentation

R. Girshick, J. Donahue, T. Darrell, J. Malik

IEEE Transactions on Pattern Analysis and Machine Intelligence (accepted May 18, 2015)

abstract / code / CVPR'14
version



Indoor
Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation

Saurabh Gupta, Pablo Arbeláez, Ross Girshick, Jitendra Malik

International Journal of Computer Vision (IJCV), 2014

code / bibtex



Efficient
Human Pose Estimation from Single Depth Images

J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook, M. Finocchio, R. Moore, P. Kohli, A. Criminisi, A. Kipman, A. Blake

IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 12, Dec. 2013

abstract / bibtex



Object
Detection with Discriminatively Trained Part Based Models†

P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan

IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010

abstract / PAMI
code / latest
code (voc-release5) / bibtex

See also, CACM Research Highlight:
Visual
Object Detection with Deformable Part Models

P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan

Communications of the ACM, no. 9 (2013): 97-105

Conference papers

2015

Faster
R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

Neural Information Processing Systems (NIPS), 2015

Python
code / Matlab
code / bibtex



Fast
R-CNN

Ross Girshick

IEEE International Conference on Computer Vision (ICCV), 2015

oral presentation

code / slides / bibtex



Contextual
Action Recognition with R*CNN

Georgia Gkioxari, Ross Girshick, Jitendra Malik

IEEE International Conference on Computer Vision (ICCV), 2015

code / bibtex



Actions
and Attributes from Wholes and Parts

Georgia Gkioxari, Ross Girshick, Jitendra Malik

IEEE International Conference on Computer Vision (ICCV), 2015

bibtex



Hypercolumns
for object segmentation and fine-grained localization

Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

oral presentation

bibtex



Aligning
3D models to RGB-D images of cluttered scenes

Saurabh Gupta, Pablo Arbeláez, Ross Girshick, Jitendra Malik

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

bibtex



Deformable
Part Models are Convolutional Neural Networks

Ross Girshick, Forrest Iandola, Trevor Darrell, Jitendra Malik

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

bibtex

2014

LSDA:
Large Scale Detection through Adaptation

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue,Ross Girshick, Trevor Darrell, Kate Saenko

Neural Information Processing Systems (NIPS), 2014

project,
code, models / bibtex



Simultaneous
Detection and Segmentation

Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik

European Conference on Computer Vision (ECCV), 2014

project
page (with code) / bibtex



Learning
Rich Features from RGB-D Images for Object Detection and Segmentation

Saurabh Gupta, Ross Girshick, Pablo Arbeláez, Jitendra Malik

European Conference on Computer Vision (ECCV), 2014

code,
models, and data / bibtex



Analyzing
the Performance of Multilayer Neural Networks for Object Recognition

Pulkit Agrawal, Ross Girshick, Jitendra Malik

European Conference on Computer Vision (ECCV), 2014

bibtex



Part-based
R-CNNs for Fine-grained Category Detection

Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell

European Conference on Computer Vision (ECCV), 2014

oral presentation

bibtex



On
Learning to Localize Objects with Minimal Supervision

Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell

International Conference on Machine Learning (ICML), 2014

code / bibtex



Rich
Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

R. Girshick, J. Donahue, T. Darrell, J. Malik

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

oral presentation

arXiv
tech report (includes ImageNet results) / supplement / code / poster /slides / bibtex



Using
k-poselets for Detecting People and Localizing their Keypoints

G. Gkioxari*, B. Hariharan*, R. Girshick, J. Malik

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

* equal contribution

project
page / code / github / bibtex



Understanding
Objects in Detail with Fine-grained Attributes

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

dataset / bibtex

2013

Training
Deformable Part Models with Decorrelated Features

R. Girshick, J. Malik

IEEE International Conference on Computer Vision (ICCV), 2013

supplement / LM-LLDA
DPM training code / bibtex



Discriminatively
Activated Sparselets

R. Girshick*, H. O. Song*, T. Darrell

International Conference on Machine Learning (ICML), 2013

oral presentation

supplement / Caltech-101
demo code / bibtex

2012 and earlier

Sparselet
Models for Efficient Multiclass Object Detection

H.O. Song, S. Zickler, T. Althoff, R. Girshick, M. Fritz, C. Geyer, P. Felzenszwalb, T. Darrell

European Conference on Computer Vision (ECCV), 2012

code / bibtex



Object
Detection with Grammar Models

R. Girshick, P. Felzenszwalb, D. McAllester

Neural Information Processing Systems (NIPS), 2011

spotlight
video / code
(voc-release5) / bibtex



Efficient
Regression of General-Activity Human Poses from Depth Images

R. Girshick, J. Shotton, P. Kohli, A. Criminisi, A. Fitzgibbon

IEEE International Conference on Computer Vision (ICCV), 2011

supplement / video / bibtex



Cascade
Object Detection with Deformable Part Models†

P. Felzenszwalb, R. Girshick, D. McAllester

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010

oral presentation

slides
(pdf) / slides
(keynote) / talk / code
(voc-release5) / bibtex



Visibility
Constraints on Features of 3D Objects†

R. Basri, P. Felzenszwalb, R. Girshick, D. Jacobs, C. Klivans

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009

bibtex



Simulating Chinese Brush Painting: the Parametric Hairy Brush

R. Girshick

ACM SIGGRAPH Posters, 2004

Session: Nonphotorealistic Animation and Rendering

bibtex

†Authors listed alphabetically

Ph.D. dissertation

From
Rigid Templates to Grammars: Object Detection with Structured Models

R. Girshick

Ph.D. dissertation, The University of Chicago, Apr. 2012

slides / bibtex



Object
Detection with Heuristic Coarse-to-Fine Search

R. Girshick

M.S. thesis, The University of Chicago, Dec. 2009

bibtex

Erdös = 3 (via two paths)

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