Xin Jin

News

• 2023/07 -- One paper got accepted by ICCV 2023.
• 2023/05 -- The official code of DNF: Decouple and Feedback Network for Seeing in The Dark has been released on Github!
• 2023/03 -- Excited to announce one paper accepted by CVPR 2023 was selected as Highlight, 10% of accepted papers, 2.5% of submissions!
• 2023/03 -- One paper got accepted by CVPR 2023.
• 2023/01 -- Our paper was awarded oral presentation qualification by AAAI.
• 2022/11 -- One paper got accepted by AAAI 2023.

Publications

* Eauql contribution. # Corresponding author.

Make Explict Calibration Implicit: "Calibrate" Denoiser Instead of The Noise Model
This is an extension of our LED, ICCV 2023.
Xin Jin, Jia-Wen Xiao, Ling-Hao Han, Chun-Le Guo#, Xialei Liu, Chong-Yi Li, Ming-Ming Cheng#.
arxiv, 2023  
project / paper / code / bibtex

Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising
Xin Jin*, Jia-Wen Xiao*, Ling-Hao Han, Chun-Le Guo#, Ruixun Zhang, Xialei Liu, Chong-Yi Li.
ICCV, 2023  
project / paper / code / bibtex

DNF: Decouple and Feedback Network for Seeing in the Dark
Xin Jin*, Ling-Hao Han*, Zhen Li, Chun-Le Guo#, Zhi Chai, Chong-Yi Li.
CVPR, 2023, (Highlight)  
project [TBD] / paper / code / bibtex

Underwater Ranker: Learn Which Is Better and How to Be Better
Chun-Le Guo*, Rui-Qi Wu*, Xin Jin, Ling-Hao Han, Zhi Chai, Wei-Dong Zhang, Chong-Yi Li#.
AAAI, 2023, (Oral)  
project / paper / code / dataset (pwd: nuin) / bibtex

Competitions and Awards

• Second Runner-up (Team Feedforward) in RAW Image Blind Denoising, Megcup 2022, serve as team leader.
• Second Runner-up (Team Feedback) in Night Photography Rendering Challenge, CVPR Workshop 2022.

Experience