News

  • Joining Borealis AI as a research engineer starting October.
  • One paper accepted to MDALC workshop at ICCV '19.
  • Two papers accepted to ICCV '19.
  • One paper submitted to BMVC '19.​
  • One paper accepted to CVPR '19! See you in Long Beach!
  • Presenting my ICLR paper at Vector Research Symposium, see you in Toronto!
  • One paper accepted to ICLR '19! See you in New Orleans!
  • Presenting two papers at NeurIPS workshops, see you in Montreal!
  • One paper accepted to Bayesian Deep Learning Workshop (NeurIPS '18)!
  • One paper accepted to Symposium on Advances in Approximate Bayesian Inference!
  • Our ECCV paper VideoVAE  is featured in the ECCV Daily News!
  • Accepted a research internship position at Borealis AI starting from September. 
  • I gave a poster presentation on VideoVAE at Vector Institute DLRL Summer School in University of Toronto.
  • ​I review for CVPR, ICCV, NeurIPS, WACV, ICML, TVC, IJCV.
  • March - November 2017, accepted a research internship position in Disney Research Pittsburgh.

About me

I am a Ph.D candidate in vision and media lab, Simon Fraser University (SFU) supervised by Professor Greg Mori. I also work closely with Professor Leonid Sigal (UBC),  Andreas Lehrmann (Facebook),  Joe Marino (Caltech), Stephan Mandt (UC Irvine) and  Cheng Zhang (Microsoft Research).

My focus is on statistical machine learning and deep generative models, especially automatic structured representation learning by combining deep learning, probabilistic graphical models and information theory. I'm also interested in applying such model to real-life scenarios including computer vision and financial applications.

Research

Object Grounding via Iterative Context Reasoning
Multi-Discipline Approach for Learning Concepts (ICCV '19 Workshop)
Lei Chen, Mengyao Zhai, Jiawei He, Greg Mori
LayoutVAE: Stochastic Scene Layout Generation from a Label Set
International Conference on Computer Vision (ICCV) '19 
Akash Abdu Jyothi, Thibaut Durand, Jiawei He,  Leonid Sigal, Greg Mori
LifelongGAN: Continual Learning for Conditional Image Generation
International Conference on Computer Vision (ICCV) '19 
Mengyao Zhai, Lei Chen, Fred Tung, Jiawei He,  Megha Nawhal, Greg Mori
A Variational-Autoencoder Model for Stochastic Point Processes [pdf]
Conference on Computer Vision and Pattern Recognition (CVPR) '19 
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He,  Leonid Sigal, Greg Mori
Variational Autoencoders with Jointly Optimized Latent Dependency Structures [pdf][poster]
International Conference on Learning Representations (ICLR) '19 
Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas Lehrmann
Informed Priors for Deep Representation Learning [pdf][poster]
Symposium on Advances in Approximate Bayesian Inference (AABI) '18 
Judith Butepage, Jiawei He, Cheng Zhang, Leonid Sigal, Greg Mori, Stephan Mandt
Variational Latent Dependency Learning [pdf][poster]
Bayesian Deep Learning '18 (NeurIPS workshop)
Jiawei He*, Yu Gong*, Joseph Marino, Greg Mori, Andreas Lehrmann
Probabilistic Video Generation using Holistic Attribute Control  [pdf]   
European Conference on Computer Vision (ECCV) '18
Jiawei He, Andreas Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
Generic Tubelet Proposals for Action Localization  [pdf]  
Winter Conference on Applications of Computer Vision (WACV) '18
Jiawei He, Zhiwei Deng, Moustafa Ibrahim, Greg Mori
Hand Gesture Recognition Using Rapid Transform (RT)  
Master Degree Thesis
Jiawei He, Kai-Kuang Ma

Artwork

I like art in all forms, especially photography and bartending. See here for some of my photographs. If you want to book me for photography or bartending, please email jiaweihe.mtr@gmail.com