Scholar
Jingyun Liang
Google Scholar ID: 3-Hz9BgAAAAJ
ETH Zurich
Citations & Impact
Citations
8,672
H-index
17
i10-index
20
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- 1. RVRT (NeurlPS2022) achieves SOTA results in video restoration.
- 2. Papers on real-world image denoising (SCUNet) and video denoising (ReViD).
- 3. Three papers, including EFNet (event-based image deblurring, oral), DATSR (reference image SR), and DAVSR (video SR), accepted by ECCV2022.
- 4. VRT outperforms previous video SR/deblurring/denoising/frame interpolation/space-time video SR methods by up to 2.16dB!
- 5. SwinIR awarded the best paper prize in ICCV-AIM2021.
- 6. Three papers (HCFlow, MANet, and BSRGAN) accepted by ICCV2021.
- 7. One paper (FKP) accepted by CVPR2021.
Research Experience
- Conducting low-level vision research at the Computer Vision Lab of ETH Zürich, including projects on image and video restoration.
Education
- PhD: ETH Zürich, Computer Vision Lab, co-supervised by Prof. Luc Van Gool and Prof. Radu Timofte, working closely with Dr. Kai Zhang.
Background
- Currently a PhD student at the Computer Vision Lab, ETH Zürich, Switzerland. Mainly focuses on low-level vision research, especially on image and video restoration, such as super-resolution, deblurring, and denoising.
