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Biography

Kai Lv received the Ph.D. degree from the School of Computer Science and Engineering, Beihang University, Beijing, China, in 2021.

He is currently a Postdoctoral Researcher with the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
His main fields of expertise and current research interests include computer vision, reinforcement learning, and machine learning. He is the corresponding author of this paper.

Activities

Employment (1)

Beijing Jiaotong University: Beijing, Beijing, CN

2021-06-29 to present | Lecture (Computer Science and Information Technology)
Employment
Source: Self-asserted source
Kai Lv

Education and qualifications (1)

Beihang University: Beijing, Beijing, CN

2014-09-01 to 2021-06-25
Education
Source: Self-asserted source
Kai Lv

Works (12)

Off-Policy Conservative Distributional Reinforcement Learning With Safety Constraints

IEEE Transactions on Systems, Man, and Cybernetics: Systems
2025-03 | Journal article
Contributors: Hengrui Zhang; Youfang Lin; Sheng Han; Shuo Wang; Kai Lv
Source: check_circle
Crossref

Style Variable and Irrelevant Learning for Generalizable Person Re-identification

ACM Transactions on Multimedia Computing, Communications, and Applications
2024-09-30 | Journal article
Contributors: Kai Lv; Haobo Chen; Chuyang Zhao; Kai Tu; Junru Chen; Yadong Li; Boxun Li; Youfang Lin
Source: check_circle
Crossref

Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation

ACM Transactions on Multimedia Computing, Communications, and Applications
2024-07-31 | Journal article
Contributors: Xiaobo Hu; Youfang Lin; Hehe Fan; Shuo Wang; Zhihao Wu; Kai Lv
Source: check_circle
Crossref

Agent-Centric Relation Graph for Object Visual Navigation

IEEE Transactions on Circuits and Systems for Video Technology
2024-02 | Journal article
Contributors: Xiaobo Hu; Youfang Lin; Shuo Wang; Zhihao Wu; Kai Lv
Source: check_circle
Crossref

Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term

2023 | Book chapter
Contributors: Han Wang; Youfang Lin; Sheng Han; Kai Lv
Source: check_circle
Crossref

Skill-Based Hierarchical Reinforcement Learning for Target Visual Navigation

IEEE Transactions on Multimedia
2023 | Journal article
Contributors: Shuo Wang; Zhihao Wu; Xiaobo Hu; Youfang Lin; Kai Lv
Source: check_circle
Crossref

Spatially-Regularized Features for Vehicle Re-Identification: An Explanation of Where Deep Models Should Focus

IEEE Transactions on Intelligent Transportation Systems
2023 | Journal article
Contributors: Kai Lv; Shuo Wang; Shuai Han; Youfang Lin
Source: check_circle
Crossref

Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving

IEEE Transactions on Vehicular Technology
2023-04 | Journal article
Contributors: Hengrui Zhang; Youfang Lin; Sheng Han; Kai Lv
Source: check_circle
Crossref

Improving Driver Gaze Prediction With Reinforced Attention

IEEE Transactions on Multimedia
2021 | Journal article
Contributors: Kai Lv; Hao Sheng; Zhang Xiong; Wei Li; Liang Zheng
Source: check_circle
Crossref

Combining Pose Invariant and Discriminative Features for Vehicle Reidentification

IEEE Internet of Things Journal
2021-03-01 | Journal article
Contributors: Hao Sheng; Kai Lv; Yang Liu; Wei Ke; Weifeng Lyu; Zhang Xiong; Wei Li
Source: check_circle
Crossref

Pose-Based View Synthesis for Vehicles: A Perspective Aware Method

IEEE Transactions on Image Processing
2020 | Journal article
Contributors: Kai Lv; Hao Sheng; Zhang Xiong; Wei Li; Liang Zheng
Source: check_circle
Crossref

Combine Coarse and Fine Cues: Multi-grained Fusion Network for Video-Based Person Re-identification

2018 | Book chapter
Contributors: Chao Li; Lei Liu; Kai Lv; Hao Sheng; Wei Ke
Source: check_circle
Crossref

Peer review (2 reviews for 2 publications/grants)

Review activity for Neural networks. (1)
Review activity for The visual computer (1)