Principal Researcher

International Digital Economy Academy (IDEA)

Guangdong-HongKong-Macau Greater Bay Area

Shenzhen, China


      liyu[at]idea.edu.cn


   Google Scholar          Github
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. I have served as an Area Chair for CVPR & NeurIPS, and a Guest Editor of IJCV.
We are hiring interns at IDEA (base: Shenzhen). Feel free to contact me if you are interested. [details]


Recent Services:

  • Area Chair: CVPR 2023, NeurIPS 2023, CVPR 2024
  • Workshop (Co)organizer: ICCV 2017/ 2019/ 2021 PBDL Workshop
  • Guest Editor: IJCV Special Issue on Physics Based Vision meets Deep Learning

News:


 

Selected Publications:

Zhendong Yang, Ailing Zeng, Chun Yuan, Yu Li
DWPose: Effective Whole-body Pose Estimation with Two-stages Distillation
ICCV 2023, CV4Metaverse Workshop
( Top 1 on COCO-WholeBody Benchmark. A better alternative to OpenPose. )
GitHub stars

Ziyang Yuan, Yiming Zhu, Yu Li, Hongyu Liu, Chun Yuan
Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding
ICCV 2023
GitHub stars

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 )
GitHub stars

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

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

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

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 )
GitHub stars
[pdf]

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

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
GitHub stars
[pdf] [website]

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

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
[link]

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

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

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

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

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

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
[link]

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
[pdf]