Dingquan Li

I am currently an Associate Researcher at Pengcheng Laboratory (PCL), where I completed my postdoctoral research under the guidance of Prof. Ge Li. I earned my Ph.D. from the School of Mathematical Sciences and the Beijing International Center for Mathematical Research (BICMR) at Peking University, where I was fortunate to be advised by Prof. Ming Jiang and Prof. Tingting Jiang. During my doctoral studies, I also served as a research assistant in the Visual Information Engineering (VIE) group at the National Engineering Research Center for Visual Technology (NERCVT) of Peking University. Prior to joining Peking University in 2015, I completed my undergraduate studies at Nankai University.

Research

My main interest lies in image, video, and point cloud processing, especially including:

Selected Publications

Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
Dingquan Li, Kede Ma, Jing Wang, Ge Li
IEEE Transactions on Image Processing (TIP), 2024. (SCI JCR Q1, IF=10.6; CCF A)
code

Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training
Dingquan Li, Tingting Jiang, Ming Jiang
International Journal of Computer Vision (IJCV) Special Issue on Computer Vision in the Wild, 2021. (SCI JCR Q1, IF=5.698; CCF A)
code

Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?
Dingquan Li, Tingting Jiang, Weisi Lin, Ming Jiang
IEEE Transactions on Multimedia (TMM), 2019 (SCI JCR Q1, IF=5.452; CCF B)
slides / code

Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
Dingquan Li, Tingting Jiang, Ming Jiang
ACM International Conference on Multimedia (MM), 2020 (Oral, CCF A)
video / poster / code

Quality Assessment of In-the-Wild Videos
Dingquan Li, Tingting Jiang, Ming Jiang
ACM International Conference on Multimedia (MM), 2019 (Oral, CCF A)
slides / poster / code

Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images
Dingquan Li, Tingting Jiang, Ming Jiang
ACM International Conference on Multimedia (MM), 2017 (CCF A)
slides / poster / code

Academic Services

Reviewer for TPAMI, TIP, TMM, TCSVT, IJCV, CVPR, ICCV, ECCV, ACM MM, NeurIPS, ICLR, ICML, AAAI, IJCAI, etc.