Pei Lv

About Me

I am currently a Full Professor and Vice Dean with School of Computer and Artificial Intelligence, Zhengzhou Univerisity. I received Ph.D degree in State Key Lab of Computer Aided Design and Computer Graphics at Zhejiang University in June 2013. I worked as a research engineer in the Media Technology Laboratory of HUAWEI TECHNOLOGIES CO., LTD. from July 2013 to December 2014. My research interests mainly focus on artificial intelligence, virtual reality and exoskeleton robots. I have published more than 60 papers in important academic journals such as IEEE TIP, IEEE TVCG, IEEE TNNLS, IEEE T-CYB, IEEE TAC, Pattern Recognition, and important international academic conferences including CVPR, ECCV, IJCAI, ACM MM et al.

Research Interests

• Computer Vision: human pose estimation, action recognition, small object detection, low-quality image enhancement
• Computer Graphics: crowd simulation, crowd behavior analysis, traffic simulation

News

• [Oct. 2024] Our work about monocular 3D lane detection is accepted to [IEEE T-ITS].
• [Sep. 2024] Our work about trajectory prediction is accepted to [IEEE T-ITS].
• [Aug. 2024] Our work about weakly-supervised object localization is accpeted to [IEEE TIP].
• [Dec. 2023] Two papers about Long-Tail Object Detection and Small Object Detection respectively are accepted to [CVM 2024].
• [Aug. 2023] Our paper about traffic simulation at the intersection is accepted to [IEEE TVCG].
• [Apr. 2023] Our paper about heterogeneous trajectory predction is accepted to [IEEE T-ITS].
• [Feb. 2023] Our paper about trajectory predction is accepted to [IEEE TNNLS].
• [Jan. 2023] Our paper about ship layout optimization is accepted to [Ocean Engineering].
• [Nov. 2022] Our paper about antagonistic crowd simulation is accepted to [IEEE TAC].
• [Oct. 2022] Our paper about weakly supervised object detection is accepted to [IEEE TIP].
• [July. 2022] Our paper about trajectory prediction under traffic lights is accepted to [ECCV 2022].
• [Nov. 2021] Our paper about personalized image aesthetic assessment is accepted to [IEEE TMM].
• [Sep. 2021] Our paper about novel coronavirus infection and control simulation is accepted to [IEEE TCSS].

Selected Publications

• CaliFree3DLane: Calibration Free Spatio-Temporal BEV Representation for Monocular 3D Lane Detection
  Weizhi Guo, Chaochao Li, Kaijiang Li, Pei Lv, Mingliang Xu.
  IEEE Transactions on Intelligent Transportation Systems, Accepted, 2024.
  

• S-CVAE: Stacked CVAE for Trajectory Prediction with Incremental Greedy Region
  Yuzhen Zhang, Junning Su, Hang Guo, Chaochao Li, Pei Lv, Mingliang Xu.
  IEEE Transactions on Intelligent Transportation Systems, Accepted, 2024.
  

• Local Cross-Patch Activation from Multi-Direction for Weakly Supervised Object Localization
  Pei Lv, Junying Ren, Genwang Han, Jiwen Lu, Mingliang Xu.
  IEEE Transactions on Image Processing, ACCEPT WITH MANDATORY MINOR REVISIONS, 2024.
  

• TraInterSim: Adaptive and Planning-Aware Hybrid-Driven Traffic Intersection Simulation
  Pei Lv, Xinming Pei, Xinyu Ren, Yuzhen Zhang, Chaochao Li, Mingliang Xu
  IEEE Transactions on Visualization and Computer Graphics, Accepted, 2023.
  [PDF][Video_Part1] [Video_Part2][Video_Part3]

• BIP-Tree: Tree Variant with Behavioral Intention Perception for Heterogeneous Trajectory Prediction
  Yuzhen Zhang, Weizhi Guo, Junning Su, Pei Lv, Mingliang Xu.
  IEEE Transactions on Intelligent Transportation Systems, Accepted, 2023.
  

• SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction
  Pei Lv, Wentong Wang, Yunxin Wang, Yuzhen Zhang, Mingliang Xu*, Changsheng Xu
  IEEE Transactions on Neural Networks and Learning System, Accepted, 2023.
  

• Interactive Ship Cabin Layout Optimization
  Zhan Wang, Xiaoqian Yang, Yuhao Zheng, Weichao Chen, Pei Lv, Bing Zhou, Mingliang Xu
  Ocean Engineering, Accepted, 2023.
  

• Emotional Contagion-Aware Deep Reinforcement Learning for Antagonistic Crowd Simulation
  Pei Lv, Qingqing Yu, Boya Xu, Chaochao Li, Bingzhou, Mingliang Xu
  IEEE Transactions on Affective Computing, Accepted, 2022.
  [PDF][Video]

• Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection
  Pei Lv, Suqi Hu, Tianran Hao.
  IEEE Transactions on Image Processing, Vol(31): 6879-6892, 2022.
  

• D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
  Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha.
  ECCV 2022.
  [Code][Dataset]

• Probability Trajectory: One New Movement Description for Trajectory Prediction
  Pei Lv, Hui Wei, Tianxin Gu, Yuzhen Zhang, Xiaoheng Jiang, Bing Zhou, Mingliang Xu.
  Computational Visual Media, Vol.8(2): 213-224, 2022.
  

• User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
  Pei Lv, Jianqi Fan, Xixi Nie, Weiming Dong, Xiaoheng Jiang, Bing Zhou, Mingliang Xu, Changsheng Xu
  IEEE Transactions on Multimedia. Accepted, 2021
  [PDF]

• Agent-Based Campus Novel Coronavirus Infection and Control Simulation
  Pei Lv, Quan Zhang, Boya Xu, Ran Feng, Chaochao Li, Junxiao Xue, Bing Zhou, Mingliang
  IEEE Transactions on Computational Social Systems. Accepted, 2021
  [PDF]

• Crowd Behavior Simulation with Emotional Contagion in Unexpected Multi-hazard Situations
  Mingliang Xu, Xiaozheng Xie, Pei Lv^*, Jianwei Niu, Hua Wang Chaochao Li, Ruijie Zhu, Zhigang Deng and Bing Zhou
  IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol.51(3): 1567-1581, 2021.
  

• Emotion-Based Crowd Simulation Model Based on Physical Strength Consumption for Emergency Scenarios
  Mingliang Xu, Chaochao Li, Pei Lv^*, Wei Chen, Zhigang Deng, Bing Zhou and Dinesh Manocha
  IEEE Transactions on Intelligent Transportation System, 2020
  

• Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation
  Shengyuan Liu, Pei Lv^*, Jie Fu, Yuzhen Zhang, Junjing Cheng, Wanqing Li, Bing Zhou, Mingliang Xu
  IJCAI-PRICAI 2020.
  

• ACSEE: Antagonistic Crowd Simulation Model with Emotional Contagion and Evolutionary Game Theory
  Chaochao Li, Pei Lv, Dinesh Manocha, Hua Wang, Yafei Li, Bing Zhou and Mingliang Xu
  IEEE Transactions on Affective Computing, 2019
  

• Crowd Behavior Evolution with Emotional Contagion in Political Rallies
  Pei Lv, Zhujin Zhang, Chaochao Li, Yibo Guo, Bing Zhou, Mingliang Xu
  IEEE Transactions on Computational Social Systems, Vol.6(2):377-386, 2019.
  

• USAR: an interactive user-specific aesthetic ranking framework for images
  Pei Lv, Meng Wang, Yongbo Xu, Ze Peng, Junyi Sun, Shimei Su, Bing Zhou, Mingliang Xu
  Proceedings of the 2018 ACM Multimedia Conference, p 1328-1336, 2018.
  

• An efficient method of crowd aggregation computation in public areas
  Mingliang Xu, Chunxu Li, Pei Lv^*, Nie Lin, Rui Hou, Bing Zhou
  IEEE Transactions on Circuits and Systems for Video Technology, Vol.28(10):2814-2825, 2018
  

• Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images
  Mingliang Xu, Jiejie Zhu, Pei Lv, Bing Zhou, Marshall F. Tappen, Rongrong Ji
  IEEE Transactions on Image Processing, Vol. 26(12): 5811-5824, 2017.
  

• A Suggestive Interface for Sketch-based Character Posing
  Pei Lv, Pengjie Wang, Weiwei Xu, Jinxiang Chai, Mingmin Zhang, Zhigeng Pan and Mingliang Xu
  Computer Graphics Forum, Vol. 34(7):111-121, 2015.
  

Teaching

• Undergraduate classes: Computer essentials, Frontier of information Science, Multimedia technology
• Graduate classes: Digital image processing, The technology of graphics and image, Advanced artificial intelligence

Services

• Journal Reviewers: [IEEE T-SMC], [IEEE T-CSVT], [IEEE T-ITS], [IEEE T-CSS], [PR], and [NC].
• Conference Reviewers: [IJCAI]

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