Wei-Sheng (Jason) Lai

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About Me

I am a software engineer at Google, working on mobile computational photography. I received my Ph.D. from the EECS department at University of California, Merced in 2019, under the advisement of Prof. Ming-Hsuan Yang. Before coming to UC Merced in 2015, I obtained my B.S. and M.S. degrees from the EE department at National Taiwan University in 2012 and 2014, respectively.

My research interests include Computer Vision, Computational Photography and Machine Learning. I am lucky to have opportunities to work with Jia-Bin Huang (Virginia Tech), YiChang Shih (Google), Chia-Kai Liang (Google), Deqing Sun (Nvidia Research), Jinwei Gu (Nvidia Research), Orazio Gallo (Nvidia Research), Jan Kautz (Nvidia Research), Ersin Yumer (Adobe Research), Oliver Wang (Adobe Research), Eli Shechtman (Adobe Research), Neel Joshi (Microsoft Research), Sing Bing Kang (Microsoft Research), Yen-Yu Lin (Academia Sinica), and Yung-Yu Chuang (National Taiwan University).

News

  •   • 08 / 2019:   One journal paper is accepted to IEEE TPAMI.
  •   • 08 / 2019:   Join Google to work on mobile computational photography.
  •   • 07 / 2019:   One paper is accepted to BMVC 2019.
  •   • 04 / 2019:   Successfully defense my Ph.D. thesis.
  •   • 03 / 2019:   One paper is accepted to SIGGRAPH 2019.
  •   • 03 / 2019:   One paper is accepted to CVPR 2019.
  •   • 12 / 2018:   One journal paper is accepted to IJCV.
  •   • 12 / 2018:   Start my internship at Google Cloud AI, Sunnyvale.
  •   • 08 / 2018:   One journal paper is accepted to IEEE TPAMI.
  •   • 07 / 2018:   Co-organize 360° Perception and Interaction workshop in ECCV 2018.
  •   • 07 / 2018:   One paper is accepted to ECCV 2018.
  •   • 07 / 2018:   One paper is accepted to BMVC 2018 as oral.
  •   • 05 / 2018:   Start my internship at Nvidia Research, Santa Clara.
  •   • 03 / 2018:   Two papers are accepted to CVPR 2018.
  •   • 10 / 2017:   Release extension of our LapSRN. Code and results are available on project website.
  •   • 09 / 2017:   One paper is accepted to NIPS 2017.
  •   • 09 / 2017:   Start my internship at Nvidia Research, Santa Clara.
  •   • 08 / 2017:   One journal paper is accepted to TVCG.
  •   • 05 / 2017:   Start my internship at Adobe Research, San Jose.
  •   • 04 / 2017:   New personal website is online!
  •   • 03 / 2017:   Two papers are accepted to CVPR 2017.
  •   • 05 / 2016:   Start my internship at Microsoft Research, Redmond.
  •   • 03 / 2016:   One paper is accepted to CVPR 2016 (Spotlight presentation).
  •   • 08 / 2015:   Start my PhD studying at UC Merced.
  •   • 03 / 2015:   One paper is accepted to CVPR 2015.
Publications

Video Stitching for Linear Camera Arrays
British Machine Vision Conference (BMVC), 2019
paper
project website
Distortion-Free Wide-Angle Portraits on Camera Phones
ACM Transactions on Graphics (SIGGRAPH), 2019
paper
project website
Depth-Aware Video Frame Interpolation
Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
paper
project website
code
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and Enhancement
Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang
Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
paper
project website
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018
conference version
journal version
project website
code
Learning Blind Video Temporal Consistency
European Conference on Computer Vision (ECCV), 2018
paper
project website
Blind Image Deblurring via Deep Discriminative Priors
Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang and Ming-Hsuan Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
International Journal of Computer Vision (IJCV), 2019
conference version
journal version
project website
Gated Fusion Network for Joint Image Deblurring and Super-Resolution
Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, and Ming-Hsuan Yang
British Machine Vision Conference (BMVC), 2018 (Oral presentation)
paper
project website
Deep Semantic Face Deblurring
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
paper
project website
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks
Neural Information Processing Systems (NIPS), 2017
paper
project website
Semantic-driven Generation of Hyperlapse from 360° Video
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2017
paper
project website
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
paper
A Comparative Study for Single Image Blind Deblurring
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Spotlight presentation)
paper
project website
code
CVPR presentation
Blur Kernel Estimation Using Normalized Color-Line Priors
Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, and Yung-Yu Chuang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
paper
project website