Principal Researcher

International Digital Economy Academy (IDEA)

Guangdong-HongKong-Macau Greater Bay Area

Shenzhen, China


Yu's Profile Picture

I am a Principal Researcher at International Digital Economy Academy (IDEA), where I lead IDEA's Vistring Lab and focus on video content generation and editing. Prior to joining IDEA, I worked at Tencent ARC Lab, Blackmagic Design, and Advanced Digital Sciences Center. I hold a PhD degree from National University of Singapore, advised by Prof. Michael S Brown. Additionally, I am a research affiliate with the CSL Lab, University of Illinois at Urbana-Champaign and an adjunct professor at the South China University of Technology. My research interests lie at the intersection of computer vision and computer graphics, with a particular focus on computational photography.
We are hiring interns at IDEA, base - Shenzhen. Feel free to contact me if you are interested. [details]

   Google Scholar          Github


  • [Mar. 2023] Serving as Area Chair of NeurIPS 2023
  • [Feb. 2023] Two papers accepted by CVPR 2023
  • [Oct. 2022] Serving as Area Chair of CVPR 2023
  • [Sep. 2022] One paper on Video Frame Interpolation accepted by IJCV

Selected Publications:

Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, Yu Li
OSX: One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
CVPR 2023 ( Top 1 on AGORA SMPL-X Benchmark )
[project page]

Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi
CT^2: Colorization Transformer via Color Tokens
ECCV 2022 ( oral )
[pdf] [code]

Xiangguang Chen*, Ye Zhu*, Yu Li, Bingtao Fu, Lei Sun, Ying Shan, Shan Liu
Robust Human Matting via Semantic Guidance
ACCV 2022
[paper] [code]

Yu Li*, Ye Zhu*, Ruoteng Li, Xintao Wang, Yue Luo, Ying Shan
Hybrid Warping Fusion for Video Frame Interpolation
IJCV 2022

Yazhou Xing, Yu Li, Xintao Wang, Ye Zhu, Qifeng Chen
Composite Photograph Harmonization with Complete Background Cues
ACM MM 2022

Shusheng Yang, Xinggang Wang, Yu Li, Yuxin Fang, Jiemin Fang, Wenyu Liu, Xun Zhao, Ying Shan
TeViT: Temporally Efficient Vision Transformer for Video Instance Segmentation
CVPR 2022 ( oral )
[pdf] [code]

Yuxin Fang*, Shusheng Yang*, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu
QueryInst: Instances as Queries
ICCV 2021
[pdf] [code] [demo]

Shusheng Yang*, Yuxin Fang*, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu
CrossVIS: Crossover Learning for Fast Online Video Instance Segmentation
ICCV 2021
[pdf] [code] [demo]

Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan
Towards Vivid and Diverse Image Colorization with Generative Color Prior
ICCV 2021
[pdf] [code]

Feifan Lv, Yu Li, Feng Lu
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
IJCV 2021
[pdf] [website] [code]

Xintao Wang, Yu Li, Honglun Zhang, Ying Shan
GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior
CVPR 2021
[pdf] [website] [code]

Fan Zhang, Yu Li, Shaodi You, Ying Fu
Learning Temporal Consistency for Low Light Video Enhancement from Single Images
CVPR 2021
[pdf] [code]

Lijian Lin, Haosheng Chen, Honglun Zhang, Jun Liang, Yu Li, Ying Shan, Hanzi Wang
Dual Semantic Fusion Network for Video Object Detection
ACM MM 2020

Yu Li*, Zhuoran Shen*, Ying Shan
Fast Video Object Segmentation using the Global Context Module
ECCV 2020

Yunfei Liu, Yu Li, Shaodi You, Feng Lu
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
CVPR 2020

Zhixiang Hao, Shaodi You, Yu Li, Kunming Li, Feng Lu
Learning from Synthetic Photorealistic Raindrop for Single Image Raindrop Removal
ICCV-W 2019
[pdf] [data]

Zhixiang Hao, Yu Li, Shaodi You, Feng Lu
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
3DV 2018

Xiaojie Guo, Yu Li, Jiayi Ma, Haibin Ling
Mutually Guided Image Filtering
ACM MM 2017 & T-PAMI 2018

Yu Li, Shaodi You, Michael S. Brown, Robby T. Tan
Haze Visibility Enhancement: A Survey and Quantitative Benchmarking
CVIU 2017

Xiaojie Guo, Yu Li, Haibin Ling
LIME: Low-light Image Enhancement via Illumination Map Estimation
T-IP 2016

Jiangbo Lu, Yu Li, Hongsheng Yang, Dongbo Min, Weiyong Eng, Minh N. Do
PatchMatch Filter: Edge-Aware Filtering Meets Randomized Search for Correspondence Field Estimation
T-PAMI 2016

Yu Li, Dongbo Min, Minh N. Do, Jiangbo Lu
Fast Guided Global Interpolation for Depth and Motion
ECCV 2016 ( spotlight )
[project page]

Yu Li, Robby. T. Tan, Xiaojie Guo, Jiangbo Lu, Michael S. Brown
Rain Streak Removal Using Layer Priors
CVPR 2016
[pdf] [code]

Yu Li, Dongbo Min, Michael S. Brown, Minh N. Do, Jiangbo Lu
SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs
ICCV 2015 ( oral )
[project page]

Yu Li, Robby T. Tan, Michael S. Brown
Nighttime Haze Removal with Glow and Multiple Light Colors
ICCV 2015
[pdf] [code]

Yu Li, Fangfang Guo, Robby T. Tan, Michael S. Brown
A Contrast Enhancement Framework with JPEG Artifacts Suppression
ECCV 2014
[pdf] [code]

Yu Li, Michael S. Brown
Single Image Layer Separation using Relative Smoothness
CVPR 2014 ( oral )
[pdf] [code]

Yu Li, Michael S. Brown
Exploiting Reflection Change for Automatic Reflection Removal
ICCV 2013
[pdf] [code&data]

Junhong Gao, Yu Li, Tat-Jun Chin, Michael S. Brown
Seam-Driven Image Stitching
Eurographics (EG) 2013


  • Area Chair (AC). CVPR 2023, NeurIPS 2023
  • Co-organizer. ICCV 2017/ 2019/ 2021 Workshop on Physics-based Vision meets Deep Learning in
  • Guest Editor. IJCV Special Issue on Physics Based Vision meets Deep Learning