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Welcome to TVI Group.

About Us

Trustworthy Visual Intelligence (TVI) Group

The Trustworthy Visual Intelligence (TVI) group is part of the Image Cognition Group at Chongqing University of Posts and Telecommunications, a key laboratory in Chongqing. Founded in 2020, the team is a young and dynamic research group led by Associate Professor Jiaxu Leng , The group currently consists of 25 research members, focusing on Trustworthy AI, such as Video Anomaly Detection, Video Analysis, Embodied Intelligence, and Autonomous Driving.

The group members have led or participated in several research projects, including the National Natural Science Foundation of China, the National Natural Science Foundation of China Youth Project, and the Chongqing Bo Xin Plan. They have published numerous academic papers in top international journals and conferences, such as NeurIPS, ACM CSUR, MM, IEEE TIFS, TMM, TITS, TCSVT, TGRS, etc.

每年预计招收硕士生6名,博士生1-2名。2025年可信视觉小组招新QQ群:654128384,具体招生要求如下:

  • 1、唯有热爱,唯有热爱才能让你在面对困境、挑战和诱惑的时候坚定地走下去!
  • 2、态度端正,态度决定了你是否能够在科研中严于律己、实事求是、精益求精!
  • 3、勇攀高峰,在生活和学习中勇敢自信、敢于挑战自我、突破自我,勇攀科研高峰!
Recent News

Recent News 🎉🎉🎉

  • [01/2025] A study on video person re-identification was accepted by the CCF A-class top journal in computer vision, IJCV. 🎉 Congratulations to Changjiang Kuang.
  • [12/2024] Awarded "Outstanding Reviewer" by the Journal of Image and Graphics. 🏆
  • [12/2024] The review paper "Advances in Target Detection from Drone Perspectives" was awarded "Outstanding Paper of 2024". 🏅
  • [12/2024] Approved for the New Chongqing Young Innovation Talent Program. Thanks to the support from team mentors and colleagues.
  • [12/2024] Approved for the 2024 Chongqing University of Posts and Telecommunications Large Model Innovation Team "Champion Challenge" Project.
  • [11/2024] A study on crowded pedestrian detection was accepted by the SCI Q1 TOP journal Neural Networks. 🚶‍♂️ Congratulations to Feng Gao.
  • [10/2024] A study on crowded pedestrian detection was accepted by the SCI Q2 TOP journal Neurocomputing. Congratulations to Feng Gao.
  • [09/2024] A study on blind image super-resolution was accepted by the SCI Q1 TOP journal IEEE TNNLS. Congratulations to Jia Wang.
  • [09/2024] Achieved third place in the ECCV 2024 Autonomous Driving International Challenge. 🚗🎉 Congratulations to Mengjingcheng Mo and Jingxin Wang.
  • [08/2024] Approved for the National Natural Science Foundation General Program. Thanks to the support from team mentors and colleagues.
  • [07/2024] Approved for four 2024 Chongqing Graduate Research Innovation Projects. Congratulations to Shuang Li, Mengjingcheng Mo, Zhanjie Wu, and Changjiang Kuang.
  • [06/2024] Won the only Innovation Award in the CVPR 2024 Autonomous Driving International Challenge (Application of Large Language Models in Autonomous Driving track). Congratulations to Mengjingcheng Mo and team.
  • [05/2024] A review paper was accepted by the SCI Q1 TOP journal ACM Computing Surveys (Impact Factor: 23.8). Congratulations to Yongming Ye and Mengjingcheng Mo.
  • [03/2024] Two studies on multimodal violence detection were accepted by the CCF B-class international conference ICME 2024. Congratulations to Zhanjie Wu and Yiran Liu.
  • [12/2023] Two undergraduate research projects were accepted by the CCF B-class international conference ICASSP 2024. Congratulations to Tianle Lü and Yuyan Chen.
  • [09/2023] A study on object detection was accepted by the SCI Q1 TOP international multimedia journal IEEE TMM. Congratulations to Yiran Liu.
  • [07/2023] A study on pedestrian detection was accepted by the CCF A-class top-tier international conference ACM MM 2023. Congratulations to Feng Gao.
  • [01/2025] A study on video person re-identification was accepted by the CCF A-class top journal in computer vision, IJCV. 🎉 Congratulations to Changjiang Kuang.
  • [12/2024] Awarded "Outstanding Reviewer" by the Journal of Image and Graphics. 🏆
  • [12/2024] The review paper "Advances in Target Detection from Drone Perspectives" was awarded "Outstanding Paper of 2024". 🏅
  • [12/2024] Approved for the New Chongqing Young Innovation Talent Program. Thanks to the support from team mentors and colleagues.
  • [12/2024] Approved for the 2024 Chongqing University of Posts and Telecommunications Large Model Innovation Team "Champion Challenge" Project.
  • [11/2024] A study on crowded pedestrian detection was accepted by the SCI Q1 TOP journal Neural Networks. 🚶‍♂️ Congratulations to Feng Gao.
  • [10/2024] A study on crowded pedestrian detection was accepted by the SCI Q2 TOP journal Neurocomputing. Congratulations to Feng Gao.
  • [09/2024] A study on blind image super-resolution was accepted by the SCI Q1 TOP journal IEEE TNNLS. Congratulations to Jia Wang.
  • [09/2024] Achieved third place in the ECCV 2024 Autonomous Driving International Challenge. 🚗🎉 Congratulations to Mengjingcheng Mo and Jingxin Wang.
  • [08/2024] Approved for the National Natural Science Foundation General Program. Thanks to the support from team mentors and colleagues.
  • [07/2024] Approved for four 2024 Chongqing Graduate Research Innovation Projects. Congratulations to Shuang Li, Mengjingcheng Mo, Zhanjie Wu, and Changjiang Kuang.
  • [06/2024] Won the only Innovation Award in the CVPR 2024 Autonomous Driving International Challenge (Application of Large Language Models in Autonomous Driving track). Congratulations to Mengjingcheng Mo and team.
  • [05/2024] A review paper was accepted by the SCI Q1 TOP journal ACM Computing Surveys (Impact Factor: 23.8). Congratulations to Yongming Ye and Mengjingcheng Mo.
  • [03/2024] Two studies on multimodal violence detection were accepted by the CCF B-class international conference ICME 2024. Congratulations to Zhanjie Wu and Yiran Liu.
  • [12/2023] Two undergraduate research projects were accepted by the CCF B-class international conference ICASSP 2024. Congratulations to Tianle Lü and Yuyan Chen.
  • [09/2023] A study on object detection was accepted by the SCI Q1 TOP international multimedia journal IEEE TMM. Congratulations to Yiran Liu.
  • [07/2023] A study on pedestrian detection was accepted by the CCF A-class top-tier international conference ACM MM 2023. Congratulations to Feng Gao.