Prof. Greg Mori

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Senior Director, Research

PhD Computer Science, University of California at Berkeley

Dr. Greg Mori is the Research Director of Borealis AI’s Vancouver lab, and Professor of Computing Science at Simon Fraser University. He 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. 

Dr. Mori was also a Visiting Scientist at Google in Mountain View, California in 2014-2015. Returning to Vancouver, he became Director of the School of Computing Science from May 2015-2018.

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 served on the editorial boards of IJCV and T-PAMI, the top journals in computer vision, and on the organizing committees for NIPS, CVPR, ICCV, and ECCV, the top conferences in computer vision and machine learning. He will be a Program Chair for CVPR 2020.

Research Areas

Computer Vision

Publications

March 17, 2021 Learning Discriminative Prototypes with Dynamic Time Warping
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Authors: X. Chang , F. Tung , G. Mori
Feb. 25, 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Authors: Y. Gong, H. Hajimirsadeghi , J. He , T. Durand , G. Mori
Oct. 26, 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2020
Authors: R. Deng, B. Chang, M. Brubaker, G. Mori, A. Lehrmann
Aug. 23, 2020 Generating Videos of Zero-Shot Compositions of Actions and Objects
European Conference on Computer Vision (ECCV), 2020
Authors: M. Nawhal, M. Zhai, A. Lehrmann , L. Sigal , G. Mori
July 13, 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Workshop on Invertible Neural Networks, Normalizing Flows and Explicit Likelihood Models(ICML), 2020
Authors: R. Deng, B. Chang, M. Brubaker, G. Mori , A. Lehrmann
March 15, 2020 Adapting Grad-CAM for Embedding Networks
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Authors: L. Chen, J. Chen , H. Hajimirsadeghi , G. Mori
Dec. 14, 2019 Point Process Flows
Workshop on Learning with Temporal Point Processes (NeurIPS), 2019
Authors: *N. Mehrasa, *R. Deng, M. O. Ahmed , B. Chang, J. He , T. Durand , M. Brubaker, G. Mori
* Denotes equal contribution
Dec. 8, 2019 Arbitrarily-conditioned Data Imputation
2nd Symposium on Advances in Approximate Bayesian Inference (AABI), 2019
Authors: M. Carvalho, T. Durand , J. He , N. Mehrasa, G. Mori
Dec. 8, 2019 Variational Selective Autoencoder
2nd Symposium on Advances in Approximate Bayesian Inference (AABI), 2019
Authors: *Y. Gong, H. Hajimirsadeghi , *J. He , *M. Nawhal, T. Durand , *G. Mori
* Denotes equal contribution
Oct. 27, 2019 Similarity-Preserving Knowledge Distillation
International Conference on Computer Vision (ICCV), 2019
Authors: F. Tung , G. Mori
Oct. 27, 2019 LayoutVAE: Stochastic Scene Layout Generation from a Label Set
International Conference on Computer Vision (ICCV), 2019
Authors: A. Jyothi, T. Durand , J. He , L. Sigal , G. Mori
Oct. 27, 2019 Lifelong GAN: Continual Learning for Conditional Image Generation
International Conference on Computer Vision (ICCV), 2019
Authors: *M. Zhai, *L. Chen, F. Tung , J. He , M. Nawhal, G. Mori
* Denotes equal contribution
Oct. 27, 2019 Object Grounding via Iterative Context Reasoning
Workshop on Multi-Discipline Approach for Learning Concepts (ICCV), 2019
Authors: L. Chen, M. Zhai, J. He , G. Mori
June 16, 2019 Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Authors: T. Durand , N. Mehrasa, G. Mori
June 16, 2019 A Variational Auto-Encoder Model for Stochastic Point Process
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Authors: N. Mehrasa, A. Jyothi, T. Durand , J. He , L. Sigal , G. Mori
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