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

      ● 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

      ● 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.

      ● Zihao Liu, Zhuowei Li, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang and Tingting Jiang. Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. IEEE Transactions on Medical Imaging (TMI), Vol. 41, Issue. 11, pp. 3398-3410, November 2022.