Greg Mori

Professor and Director
School of Computing Science
Simon Fraser University
8888 University Drive
Burnaby, BC
CANADA V5A 1S6

Office: TASC1 8007
Phone: (778) 782-7111
Fax: (778) 782-3045
mori@cs.sfu.ca

Ph.D. in Computer Science, University of California at Berkeley, 2004.
Hon. B.Sc. in Computer Science and Mathematics, University of Toronto, 1999.
Greg Mori

QUICK LINKS

[Publication list], [Students and Postdocs], [Teaching], [Curriculum Vitae]


BIOGRAPHY

Dr. Greg Mori was born in Vancouver and grew up in Richmond, BC. He received the Ph.D. degree in Computer Science from the University of California, Berkeley in 2004. He received an Hon. B.Sc. in Computer Science and Mathematics with High Distinction from the University of Toronto in 1999. He spent one year (1997-1998) as an intern at Advanced Telecommunications Research (ATR) in Kyoto, Japan. After graduating from Berkeley, he returned home to Vancouver and is currently a Professor in the School of Computing Science at Simon Fraser University.

He was a Visiting Scientist at Google in Mountain View, California in 2014-2015. Returning to Vancouver again, he became Director of the School of Computing Science in May 2015.

Dr. Mori conducts research in computer vision and machine learning, and teaches classes in data structures and programming, artificial intelligence, computer vision, and machine learning. He serves on the editorial boards of IJCV and T-PAMI, the top journals in computer vision, and on the organizing committees for CVPR, ICCV, and ECCV, the top conferences in computer vision. He is privileged to have worked with many excellent students while at SFU.


RESEARCH INTERESTS

My research is in computer vision, and is concerned with developing algorithms that automatically interpret images and videos, particularly those containing people. I have made significant contributions towards solving the problems of human pose estimation and human action recognition. At a broad level, the methodology followed is to construct features and representations that capture our intuition regarding these vision problems. We operationalize these via machine learning algorithms, adapting them to suit our purposes.

Specific examples of features and representations include work on superpixels for representing images, motion features for human action recognition, and our structured models for video sequences and group activities. We have developed variants of machine learning algorithms such as hidden Conditional Random Fields (hCRF), Latent Dirichlet Allocation (LDA), latent SVMs, and deep networks to implement these ideas.

Research interests keywords:

  • computer vision
  • machine learning
  • video analysis
  • human activity recognition
  • human body pose estimation
  • pedestrian detection and tracking
  • object recognition
Please see the Vision and Media Lab for a list of research projects, or my list of publications for more details.

STUDENT NEWS

Srikanth Muralidharan successfully defended his M.Sc. thesis A Hierarchical Deep Temporal Model for Group Activity Recognition. Congratulations Srikanth!
Zhiwei Deng (PhD), Arash Vahdat (URA), and Hexiang Hu (BSc) had a paper accepted to IEEE Computer Vision and Pattern Recognition (CVPR), 2016. Structure learning for a message passing deep network is developed and applied to group activity recognition.
Hexiang Hu (BSc) and Zhiwei Deng (PhD) had a paper accepted to IEEE Computer Vision and Pattern Recognition (CVPR), 2016. Images are tagged with labels from a hierarchy via a deep learning algorithm that reasons about label relations.
Moustafa S. Ibrahim (PhD), Srikanth Muralidharan (MSc), Zhiwei Deng (PhD), and Arash Vahdat (URA) had a paper accepted to IEEE Computer Vision and Pattern Recognition (CVPR), 2016. A multi-level temporal deep network for recognizing group activities in videos is developed.
Lei Chen successfully defended his M.Sc. thesis Learning Action Primitives for Multi-Level Video Event Understanding. Congratulations Lei!
Zhiwei Deng successfully defended his M.Sc. thesis Deep Structured Models for Group Activity Recognition. Congratulations Zhiwei!
Mengyao Zhai successfully defended her M.Sc. thesis Object Detection in Surveillance Video from Dense Trajectories. Congratulations Mengyao!
Guang-Tong Zhou successfully defended his Ph.D. thesis Toward Scene Recognition by Discovering Semantic Structures and Parts. Congratulations Guang-Tong!
Hossein Hajimirsadeghi successfully defended his Ph.D. thesis Multiple Instance Learning for Visual Recognition: Learning Latent Probabilistic Models. Congratulations Hossein!
Hossein Hajimirsadeghi (PhD) had a paper accepted to IEEE International Conference on Computer Vision (ICCV), 2015. The paper presents a boosting method for combining multiple high-capacity models in a structured prediction setting, demonstrating results on a variety of applications including group activity recognition and 3d action recognition.
Zhiwei Deng (MSc), Mengyao Zhai (MSc), Lei Chen (MSc), Yuhao Liu (BSc), and Srikanth Muralidharan (MSc) had a paper accepted to the British Machine Vision Conference (BMVC), 2015. A deep learning framework for group activity recognition via message passing is presented.
Wang Yan (PDF) and Jordan Yap (BSc) had a paper accepted to the British Machine Vision Conference (BMVC), 2015. Video retrieval in a "one-shot" (single example) setting is improved by leveraging multi-task learning from existing models.
[less new news]

TEACHING

STUDENTS AND POSTDOCS

Current Former
  • Yang Wang, Learning Structured Models for Human Actions and Poses, Ph.D. Summer 2009 (next NSERC postdoc at UIUC, now Asst. Prof. at U Manitoba)
  • Mani Ranjbar, Optimizing Non-Decomposable Loss Functions In Structured Prediction, Ph.D. Summer 2012 (now at D-Wave Systems)
  • Weilong Yang, Discriminative Latent Variable Models For Visual Recognition, Ph.D. Fall 2012 (now at Google Research)
  • Tian Lan, From Flat to Hierarchical: Modeling Structures in Visual Recognition, Ph.D. Summer 2013 (next postdoc at Stanford)
  • Nataliya Shapovalova, Towards Action Recognition and Localization in Videos with Weakly Supervised Learning, Ph.D. Fall 2014 (now at Amazon)
  • Arash Vahdat, Weakly Supervised Models For Recognizing And Clustering High-Level Complex Events In Video, Ph.D. Fall 2014 (next research faculty at SFU)
  • Hossein Hajimirsadeghi, Multiple Instance Learning for Visual Recognition: Learning Latent Probabilistic Models, Ph.D. Fall 2015 (next Oracle Labs Vancouver).
  • Guang-Tong Zhou, Toward Scene Recognition by Discovering Semantic Structures and Parts, Ph.D. Fall 2015 (next Oracle Labs Vancouver).
  • Payam Sabzmeydani, Detecting Pedestrians in Still Images Using Learned Shape Features, M.Sc. Fall 2006 (next Koolhaus Games, then AirG)
  • Andy Rova, Eigen-CSS Shape Matching and Recognizing Fish in Underwater Video, M.Sc. Spring 2007
  • Topher Johnson, Responsive Video-Based Motion Synthesis Using Motion Graphs, M.Sc. Summer 2007 (next Blast Radius)
  • Maryam Moslemi, Clustering and Visualizing Actions of Humans and Animals Using Motion Features, M.Sc. Fall 2007 (next UIUC M.Sc. student, now at Salesforce.com)
  • Alireza Fathi, Efficient Human Figure Tracking Using Motion Exemplars, M.Sc. Summer 2008 (next Georgia Tech Ph.D. student)
  • William Ma, Motion Estimation For Functional Medical Imaging Studies Using A Stereo Video Head Pose Tracking System, M.Sc. Summer 2009 (now at Leovation)
  • Mohammad Norouzi, Convolutional Restricted Boltzmann Machines for Feature Learning, M.Sc. Fall 2009 (next U of Toronto Ph.D. student)
  • Weilong Yang, Learning Transferable Distance Functions For Human Action Recognition And Detection, M.Sc. Spring 2010 (next SFU Ph.D. student)
  • Bahman Yari Saeed Khanloo, Combining Simple Trackers Using Structural SVMs For Offline Single Object Tracking, M.Sc. Summer 2010 (next CWI Ph.D. student)
  • Tian Lan, Beyond Actions: Discriminative Models For Contextual Group Activities, M.Sc. Summer 2010 (next SFU Ph.D. student)
  • Ferdinand Stefanus, Automatic Pedestrian Detection and Tracking with a Multiple-Cue Max-Margin Framework, M.Sc. Fall 2010 (next MacDonald, Dettwiler and Associates Ltd. (MDA))
  • Arash Vahdat, A Key Pose Model For Human Interaction Recognition And Color From Gray By Optimized Color Ordering, M.Sc. Spring 2011 (next SFU Ph.D. student)
  • Bo Gao, Exemplar-Based Human Interaction Recognition: Features And Key Pose Sequence Model, M.Sc. Summer 2011 (next Software Engineer at Trusterra Inc., then Fortinet, then Microsoft)
  • Pengfei Yu, Image Classification Using Latent Spatial Pyramid Matching, M.Sc. Summer 2011 (next Microsoft, then Facebook)
  • Brian Milligan, Selecting And Commanding Groups Of Robots Using A Vision-Based Natural User Interface, M.Sc. Summer 2012 (next Big Park / Microsoft)
  • Zhi Feng Huang, Latent Boosting For Action Recognition, M.Sc. Summer 2012 (next Apple)
  • Amir Bakhtiari, Detecting Pedestrians Using Motion Patterns: A Latent Tracking Approach, M.Sc. Fall 2013 (next Vidigami)
  • Yasaman Sefidgar, Discriminative Key-Segment Model for Interaction Detection, M.Sc. Spring 2014 (next The Jonah Group)
  • Jinling Li, Road User Detection and Analysis in Traffic Surveillance Videos, M.Sc. Summer 2014 (next Netra)
  • Mehran Khodabandeh, Discovering Human Interactions in Videos with Limited Data Labeling, M.Sc. Spring 2015 (next SFU PhD student)
  • Mengyao Zhai, Object Detection in Surveillance Video from Dense Trajectories, M.Sc. Fall 2015 (next SFU PhD student)
  • Zhiwei Deng, Deep Structured Models for Group Activity Recognition, M.Sc. Fall 2015 (next SFU PhD student)
  • Lei Chen, Learning Action Primitives for Multi-Level Video Event Understanding, M.Sc. Fall 2015 (next SFU PhD student)
  • Srikanth Muralidharan, A Hierarchical Deep Temporal Model for Group Activity Recognition, M.Sc. Spring 2016 (next SFU PhD student)
  • Jen Fernquist, NSERC Undergraduate Student Research Award (USRA), Summer 2006 (next MDA, then UBC M.Sc. student, then Google)
  • Chris Lundgren, NSERC Undergraduate Student Research Award (USRA), Summer 2006 (next Safe Software)
  • Angelica Lim, NSERC Undergraduate Student Research Award (USRA), Spring 2008 (next Google, then Monbukagakusho Ph.D. at Kyoto U.)
  • Bo Chen, CMPT 415 Directed Studies, RA, Spring - Summer 2007, Summer 2008 (next UBC M.Sc. student, then Caltech Ph.D. student)
  • Mark Bayazit, NSERC Undergraduate Student Research Award (USRA), RA, Summer - Fall 2008 (next at ShipSmartly.com Enterprises Inc.)
  • Aditya Ramesh, NSERC Undergraduate Student Research Award (USRA), Summer 2009 (next Stanford M.Sc. student)
  • Ben Reilly, RA, Spring 2011 (next Toronto M.Sc.)
  • Jia Sun, RA, Spring 2011
  • Wesley May, NSERC Undergraduate Student Research Award (USRA), Summer 2011 (next Toronto M.Sc.)
  • Youyou Yang, RA Fall 2011 - Spring 2012
  • Pouria Mahmoudi Saghalati, NSERC Undergraduate Student Research Award (USRA), Summer 2012
  • Yuke Zhu, RA Summer - Fall 2012 (next Stanford M.Sc. student)
  • Jeff Hsu, NSERC Undergraduate Student Research Award (USRA), Summer 2014
  • Yuhao Liu, RA Summer 2014 - Spring 2015 (next UC Berkeley M.Sc. student)

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Vision and Media Lab


Scientific Data Aquisition, Transportation and Storage Research Lab (SDATS)


Technology for Injury Prevention in Seniors (TIPS)