News

  • [2021-01] One paper accepted in IEEE Transactions on Image Processing. πŸŽ‰πŸŽ‰πŸŽ‰
  • [2020-11] Two papers submitted to CVPR 2021.
  • [2020-10] I received the NSERC Postgraduate Scholarship in Doctoral program.
  • [2020-09] I was invited to be a reviewer in IEEE Transactions on Multimedia.
  • [2020-09] I won the 2019-20 Borealis AI Global Fellowship award (one of the 10 nominees in Canada!). Details can be found here. πŸŽ‰πŸŽ‰πŸŽ‰
  • [2020-08] One paper accepted in ECCVW 2020. Our team received a Runner-Up Award on Learned ISP Track 2: Perceptual.
  • [2020-05] I joint the CV Lab at Michigan State University as a visiting scholar, supervised by Prof. Xiaoming Liu. πŸŽ‰πŸŽ‰πŸŽ‰
  • [2020-02] I was invited to be a reviewer in IEEE Transactions on Image Processing.
  • [2019-12] One paper accepted in WACV 2020.
  • [2019-11] I joint the McMaster AI Society as a senior project manager.
  • [2019-08] I was an emergent reviewer of WACV 2020.
  • [2019-07] One paper accepted in ICCV 2019. πŸŽ‰πŸŽ‰πŸŽ‰
  • [2019-06] I received an Ontario Graduate Scholarship.
  • [2019-05] I started my summer intern in IBM Watson as an IOT & AI Developer.
  • [2019-05] One paper accepted in 16th CWIT.
  • [2019-01] I started a Mitacs project with Cymax Group about data mining.
  • [2018-10] I was invited to be a reviewer in IEEE Transactions on Broadcasting.
  • [2018-06] One paper accepted in IEEE Transactions on Image Processing. πŸŽ‰πŸŽ‰πŸŽ‰
  • [2018-04] I started a Mitacs project with Car Media 2.0 about alpha-mating.

Publications

To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos …

As the revolutionary improvement being made on the performance of smartphones over the last decade, mobile photography becomes one of …

Video super-resolution aims at generating a high-resolution video from its low-resolution counterpart. With the rapid rise of deep …

We propose an end-to-end trainable Convolutional Neural Network (CNN), named GridDehazeNet, for single image dehazing. The …

Canonical Correlation Analysis (CCA) is a powerful multivariate statistical method. It can be used to find, for a given dimension, a …

Conventional Convolutional Neural Network (CNN) based video super-resolution (VSR) methods heavily depend on explicit motion …

Multi-frame image super-resolution focuses on reconstructing a high-resolution image from a set of low-resolution images with high …

Multi-frame super-resolution focuses on reconstructing a high-resolution image from a set of low-resolution images with high …