About me

I am a 1st year PhD student at Simon Fraser University at VML lab advised by Professor Greg Mori.

Previously, I completed my MSc. degree in the same university and received the BEng. degree from Beijing University of Posts and Telecomms.

Publications

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies.

Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain Matthews and Greg Mori.

[PDF] , CVPR 2017. (Press Coverage PHYS.ORG | Caltech News | EurekAlert!)

Recalling Holistic Information for Semantic Segmentation.

Hexiang Hu*, Zhiwei Deng*, Guang-tong Zhou, Fei Sha and Greg Mori.

Arxiv, 2016.

Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition.

Zhiwei Deng, Arash Vahdat, Hexiang Hu and Greg Mori.

IEEE Computer Vision and Pattern Recognition (CVPR), 2016.

Learning Structured Inference Neural Networks with Label Relations.

Hexiang Hu, Guang-tong Zhou, Zhiwei Deng, Zicheng Liao and Greg Mori.

IEEE Computer Vision and Pattern Recognition (CVPR), 2016.

A Hierarchical Deep Temporal Model for Group Activity Recognition.

Moustafa Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori.

IEEE Computer Vision and Pattern Recognition (CVPR), 2016.

Deep Structured Models For Group Activity Recognition.

Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Roshtkhari, and Greg Mori.

The British Machine Vision Conference (BMVC), 2015, (oral, acceptance rate=7%).

Learning Action Primitives for Multi-Level Video Event Understanding.

Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, and Greg Mori.

International Workshop on Visual Surveillance and Re-Identification (at ECCV), 2014.

Pet projects

Coming soon...

Misc

Coming soon...