About Me
Mengyao Zhai
Email: [email protected]
[resume]
Email: [email protected]
[resume]
- Ph.D. student in VML lab from Simon Fraser University under supervision of Dr. Greg Mori (Jan 2016 - now)
- MSc degree from Computing Science, Simon Fraser University under supervision of Dr. Greg Mori (Sep 2013 - Dec 2015)
- BSc degree from Industrial and Commercial College, Hebei University (Sep 2009 - Jun 2013)
Research Interests
Lifelong learning for generative models.
Video forecasting using generative neural networks.
Metric Learning based on adversarial images.
Single target tracking, tracking the object by adapting the object appearances over time.
Object detection using dense trajectories.
Video forecasting using generative neural networks.
Metric Learning based on adversarial images.
Single target tracking, tracking the object by adapting the object appearances over time.
Object detection using dense trajectories.
Publications
- Mengyao Zhai, Lei Chen, Greg Mori. Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [paper]
- Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Fred Tung, Greg Mori. Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. European Conference on Computer Vision (ECCV), 2020. [paper]
- Mengyao Zhai*, Lei Chen*, Fred Tung, Jiawei He, Megha Nawhal, Greg Mori. Lifelong GAN: Continual Learning for Conditional Image Generation. IEEE/CVF International Conference on Computer Vision (ICCV), 2019. [paper]
- Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori. Generating Videos of Zero-Shot Compositions of Actions and Objects. European Conference on Computer Vision (ECCV), 2020. [paper]
- Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Greg Mori. Adaptive Appearance Rendering. British Machine Vision Conference (BMVC), 2018. [paper]
- Mengyao Zhai, Mehrsan Javan Roshtkhari, Greg Mori. Deep Learning of Appearance Models for Online Object Tracking. WiCV@ECCV 2018. TPAMI Submission. [paper]
- Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori. Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering. [paper]
- Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori. Deep structured models for group activity recognition. British Machine Vision Conference (BMVC oral), 2015. [paper]
- Mengyao Zhai, Lei Chen, Mehran Khodabandeh, Jinling Li, Greg Mori. Object Detection in Surveillance Video from Dense Trajectories. IAPR Machine Vision Applications (MVA), 2015.
