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

      ● March 11, 2024   Congratulations to Yujia Liu and Chenxi Yang for their paper being accepted by CVPR 2024!

      ● Dec. 12, 2023   Congratulations to Ruohua and Zhaochen for their papers being accepted by AAAI 2024!

      ● July 18, 2023   Congratulations to Zhixuan Li and Weining Ye for their paper "MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario" being accepted by ICCV 2023 !

      ● June 1, 2023   Congratulations to Ruohua for her paper "PS-Net: Human perception-guided segmentation network for EM cell membrane" accepted by Bioinformatics !

      ● Feb. 17, 2023   Congratulations to Zhixuan Li and Ruohua Shi for their paper "OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation" being accepted by ICASSP 2023 !

      ● Sept. 20, 2022   Congratulations to Fangqiu Yi and Yanfeng Yang for their paper "Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognition" being accepted by ACCV 2022 !

      ● Aug. 1, 2022   Congratulations to Zhixuan Li and Weining Ye for their paper "2D Amodal Instance Segmentation Guided by 3D Shape Prior" being accepted by ECCV 2022 !

      ● April 27, 2022   Congratulations to Yujia Liu for her paper "LabelFool: A Trick In The Label Space" being accepted by IJCNN 2022!

      ● April 11, 2022   Congratulations to Ruohua Shi and Zhixuan Li for their work “U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms” being accepted by Frontiers in Computational Neuroscience !

      ● 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

      ● Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang. Evidential Uncertainty-guided Mitochondria Segmentation for 3D EM Images, Association for the Advancement of Artificial Intelligence (AAAI), February 2024

      ● Zhaochen Liu*, Zhixuan Li*, Tingting Jiang. BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion, Association for the Advancement of Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.

      ● Zihao Liu, Ruiqin Xiong, Tingting Jiang. CI-Net: Clinical-Inspired Network for Automated Skin Lesion Recognition. IEEE Transactions on Medical Imaging (TMI), Vol. 42, Issue. 3, pp. 619-632, March 2023.

      ● Zhixuan Li, Ruohua Shi, Tiejun Huang, and Tingting Jiang, OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation, International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, pp. 1-5.

      ● Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang, MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario, International Conference on Computer Vision (ICCV), Paris, France, October 2023, pp. 23447-23456.

      ● Ruohua Shi, Keyan Bi, Kai Du, Lei Ma, Fang Fang, Lingyu Duan, Tingting Jiang, Tiejun Huang, PS-Net: Human perception-guided segmentation network for EM cell membrane, Bioinformatics,Volume 39, Issue 8, August 2023, , btad464.

      ● Daochang Liu and Qiyue Li and AnhDung Dinh and Tingting Jiang and Mubarak Shah, Chang Xu, Diffusion Action Segmentation, International Conference on Computer Vision (ICCV), Paris, France, October 2023,pp.10139-10149.

      ● Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma, Kai Du, Tingting Jiang and Tiejun Huang. U-RISC: an Annotated Ultra-high-resolution Electron Microscopy Dataset Challenging Existing Deep Learning Algorithms. Frontiers in Computational Neuroscience, Vol.16, No. 842760, April 2022.

      ● Yujia Liu, Ming Jiang, Tingting Jiang, LabelFool: A Trick in the Label Space, International Joint Conference on Neural Networks (IJCNN), Padua, Italy, July 2022, pp.1--8.

      ● Yujia Liu, Ming Jiang, Tingting Jiang, Transferable Adversarial Examples Based on Global Smooth Perturbations, Computers & Security, Vol. 121, 102816, October 2022.