About Me
I am a computer vision scientist at AutoNavi, Beijing. Before that I got my PhD from Universität Bern, Switzerland supervised by Prof. Paolo Favaro.
My research interests include Computer Vision and Deep Learning.
News
- 03/2019: One paper accepted to CVPR 2019
- 11/2018: I successfully defended my PhD
- 09/2018: One paper accepted to ECCV 2018
- 07/2018: One paper accepted to CVPR 2018 (Spotlight presentation)
- 07/2018: One paper accepted to CVPR NTIRE workshop 2018
- 05/2018: One paper accepted to ICCP 2018 (Oral presentation)
- 05/2018: Start my internship at Hikvision Research America, Santa Clara
- 04/2018: One journal paper accepted to TIP
- 12/2017: One paper accepted to NIPS 2017 (Spotlight presentation)
- 07/2017: One paper accepted to CVPR 2017
- 12/2015: One paper accepted to ICCV workshop 2015
- 10/2014: Start my PhD study at Universität Bern
Work Experience
- May 2018 - July 2018: Research Intern
- Hikvision Research America
- Project: Video Super-resolution
- Mentor: Zhe Hu
- Feb 2014 - Sep 2014: Research Assistant
- NYU Multimedia and Visual Computing Lab
- Project: 3D Shape Retrieval
- Supervisor: Yi Fang
- Aug 2013 - Dec 2013: Research Assistant
- Machine Learning for Bioimae Analysis Group, Bioinformatics Institute, ASTAR
- Project: Cellular Image Segmentation
- Supervisor: Li Cheng
Professional Activities
- Conference Reviewer
ICCV 2019, CVPR 2019, ECCV 2018, ICCP 2018, ICCP 2017 - Journal Reviewer
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Pattern Recognition (PR)
Publications
Learning to Extract Flawless Slow Motion from Blurry Videos
Meiguang Jin, Zhe Hu, Paolo Favaro
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[paper][project]Normalized Blind Deconvolution
Meiguang Jin, Stefan Roth, Paolo Favaro
European Conference on Computer Vision (ECCV), 2018
[paper][project]Learning to See through Reflections
Meiguang Jin, Sabine Süsstrunk, Paolo Favaro
International Conference on Computational Photography (ICCP), 2018 (Oral Presentation)
[paper][project]Learning Face Deblurring Fast and Wide
Meiguang Jin, Michael Hirsch, Paolo Favaro
IEEE Conference on Computer Vision and Pattern Recognition (CVPR NTIRE), 2018
[paper][project]Learning to Extract a Video Sequence from a Single Motion-Blurred Image
Meiguang Jin, Givi Meishvili, Paolo Favaro
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight Presentation)
[paper][project][video]Plenoptic Image Motion Deblurring
Paramanand Chandramouli, Meiguang Jin, Daniele Perrone, Paolo Favaro
IEEE ransactions on Image Processing (TIP), 2018
[paper][project]Deep Mean-Shift Priors for Image Restoration
Siavash Bigdeli, Meiguang Jin, Matthias Zwicker, Paolo Favaro
Conference on Neural Information Processing Systems (NIPS), 2017 (Spotlight Presentation)
[paper][project]Noise-Blind Image Deblurring
Meiguang Jin, Stefan Roth, Paolo Favaro
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[paper][supplementary material]Bilayer Blind Deconvolution with the Light Field Camera
Meiguang Jin, Paramanand Chandramouli, Paolo Favaro
IEEE International Conference on Computer Vision (ICCV workshop), 2015
[paper]A Random-forest Random Field Approach for Cellular Image Segmentation
Meiguang Jin, Lakshmi Narasimhan Govindarajan, Li Cheng
IEEE International Symposium on Biomedical Imaging (ISBI), 2014
[paper]Adaptive Propagation-Based Method for Alpha Matting
Meiguang Jin, Byoung-Kwang Kim, Woo-Jin Song
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2014
[paper]KNN-based Color Line Model for Image Matting
Meiguang Jin, Byoung-Kwang Kim, Woo-Jin Song
IEEE International Conference on Image Processing (ICIP), 2013 (Oral Presentation)
[paper]
Teaching
- 2017-2018: Advance Topics in Machine Learning
- 2015-2017: Machine Learning
- 2015: Convex Optimization