About Us

VIE focuses on computer vision and image/video quality assessment. Current ongoing projects include: multiple-object tracking, surgical video analysis and skill assessment, image and video quality assessment, and image segmentation.

  • Team Research Highlight: computer vision and image/video quality assessment
  • News

      ● Oct. 16, 2021   Congratulations to Fangqiu Yi and Hongyu Wen for their work “ASFormer: Transformer for Action Segmentation” being accepted by BMVC 2021 !

      ● May 19, 2021   Congratulations to Zihao Liu for his paper "Multi-level Relationship Capture Network for Automated Skin Lesion Recognition" being accepted by MICCAI 2021!

      ● March 6, 2021   Congratulatioins to Daochang Liu and Qiyue Li for their paper being accepted by CVPR 2021 !

      ● Jan. 7, 2021   Congratulations to Dingquan Li for passing Ph.D. Defense succesfully!

      ● Nov. 5, 2020   Congratulations to Dingquan Li for his paper being accepted by IJCV!

      ● Sept. 19, 2020   Congratulations to Daochang Liu for his paper being accepted by IJCARS!

      ● July 30, 2020   We are recruiting one Master Student in computer science! The candidate should have a good background (math & English & programming) and great passion for research. If you are interested in joining our group, please send your CV to ttjiang@pku.edu.cn.

      ● July 26, 2020   Congratulations to Dingquan Li for his paper being accepted by ACM MM 2020!

      ● June 23, 2020   Congratulations to Zihao Liu, Daochang Liu, Yuhui Wei, Chen Gong, Zejia Fan for their papers being accepted by MICCAI 2020 !

      ● Dec. 24, 2019   Congratulations to Jiahe Li and Sheng Li for their papers being accepted by WACV 2020!

      ● Aug. 28, 2019   Congratulations to Sheng Li for his paper "3D Human Skeleton Data Compression for Action Recognition" being accepted by VCIP 2019!

      ● July 10, 2019   We are recruiting one Master Student in computer science! The candidate should have good background (math & English & programming) and great passion in research. If you are interested in joining our group, please send your CV to ttjiang@pku.edu.cn.

      ● July 6, 2019   Congratulations to Dingquan Li for his paper being accepted by ACM MM 2019!

      ● June 5, 2019   Congratulations to Daochang Liu and Fangqiu Yi for their papers being accepted by MICCAI 2019!

      ● March 12, 2019   Congratulations to Daochang Liu for his paper "Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization" being accepted by CVPR 2019!

      ● March 12, 2019   Congratulations to Chen Huang for his paper "ENCODING DISTORTIONS FOR MULTI-TASK FULL-REFERENCE IMAGE QUALITY ASSESSMENT" being accepted by ICME 2019 !

    Recent Publications

      ● Dingquan Li, Tingting Jiang, and Ming Jiang. Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training, International Journal of Computer Vision (IJCV), Special Issue on Computer Vision in the Wild, 129, Jan. 2021, pp. 1238–1257 .

      ● Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li, Towards Unified Surgical Skill Assessment, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR2021), Virtual, June 2021

      ● Dingquan Li, Tingting Jiang, Ming Jiang, Vajira Lasantha Thambawita, and Haoliang Wang. Reproducibility Companion Paper: Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment. In Proceedings of the 29th ACM Int’l Conference on Multimedia (MM ’21), Oct. 20–24, 2021, Chengdu, China. https://doi.org/10.1145/3474085.3477937

      ● Zihao Liu, Ruiqin Xiong, Tingting Jiang. Multi-level Relationship Capture Network for Automated Skin Lesion Recognition. International Conference On Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), October 2021, Virtual.

      ● Jiahe Li, Xu Gao, Tingting Jiang. Graph Networks for Multiple Object Tracking. Winter Conference on Applications of Computer Vision (WACV), Snowmass, March 1-5, 2020.

      ● Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian. Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition. Winter Conference on Applications of Computer Vision (WACV), Snowmass, March 1-5, 2020.

      ● Daochang Liu*, Yuhui Wei*, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, and Ziyu Li, Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion, Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), October 2020,Virtual

      ● Dingquan Li, Tingting Jiang, and Ming Jiang. Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment. In Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), October 12–16, 2020, Virtual

      ● Zihao Liu, Ruiqin Xiong and Tingting Jiang. Clinical-Inspired Network for Skin Lesion Recognition. International Conference On Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), October 2020, Virtual

      ● Zihao Liu, Haihao Pan, Chen Gong, Zejia Fan, Yujie Wen, Tingting Jiang, Ruiqin Xiong, Hang Li, and Yang Wang. Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images. International Conference On Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), October 2020, Virtual