Jiezhang Cao

Jiezhang Cao

Ph.D. student

ETH Z├╝rich

Biography

I am a Ph.D. student supervised by Prof. Luc Van Gool at Computer Vision Laboratory, ETH Z├╝rich. I also work closely with Prof. Radu Timofte, Dr. Kai Zhang and Dr. Yulun Zhang. My main research interest is the low-level vision, especially on the image and video restoration, such as super-resolution, deblurring and denoising. Besides, I enjoy applying mathematics in proposed methods. Recently, I have some paper published in NeurIPS, ICML, TPAMI, CVPR and ECCV. I served as the reviewer for several top-tier conferences, such as NeurIPS, ICLR CVPR, ICCV, ECCV and SIGGRAPH Asia, etc.

Recent News

  • One paper was accepted by CVPR 2023.
  • Two papers was accepted by ECCV 2022.
  • SwinIR is awarded the best paper prize in ICCV-AIM2021.
  • I join the Computer Vision Lab as a Ph.D. student at ETH Z├╝rich.
  • One journal paper was accepted by TPAMI 2020.
  • One conference paper was accepted by CVPR 2020.
  • One conference paper was accepted by NeurIPS 2019.
  • One conference paper was accepted by ICML 2018.

Publications

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution

Reference-based Image Super-Resolution with Deformable Attention Transformer

European Conference on Computer Vision (ECCV) 2022
Reference-based Image Super-Resolution with Deformable Attention Transformer

Towards Interpretable Video Super-Resolution via Alternating Optimization

European Conference on Computer Vision (ECCV) 2022
Towards Interpretable Video Super-Resolution via Alternating Optimization

SwinIR: Image Restoration Using Swin Transformer

IEEE International Conference on Computer Vision Workshop 2021
SwinIR: Image Restoration Using Swin Transformer

Video Super-Resolution Transformer

arXiv 2021
Video Super-Resolution Transformer

Generative Low-bitwidth Data Free Quantization

European Conference on Computer Vision (ECCV) 2020
Generative Low-bitwidth Data Free Quantization

Oversampling for Imbalanced Data via Optimal Transport

AAAI Conference on Artificial Intelligence (AAAI) 2019
Oversampling for Imbalanced Data via Optimal Transport

Presentations

Poster presentation of NeurIPS 2019

Multi-marginal Wasserstein GAN
Poster presentation of NeurIPS 2019

Oral presentation of ICML 2018

Adversarial Learning with Local Coordinate Coding
Oral presentation of ICML 2018

Awards

Student Travel Award of NeurIPS 2019

The First Prize Scholarship

National Scholarship

Excellent Undergraduate Thesis

Excellent Graduate Student

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