þ Doctoral supervisor for international students
þ Master Supervisor
About me
I joined Beijing University of Technology (BJUT) in 2015.7, where I am now an associate professor. Before BJUT, I worked at Chinese Aeronautical Establishment from 2012.1 to 2015.6 as a Computer Scientist. I received Ph.D. (2012.1) in Computer Vision at Beijing University of Posts and Telecommunications. During 2008 to 2010 and 2018 to 2019, supported by China Scholarship Council (CSC), I had the opportunity of working as a visiting Ph.D. and visiting scholar respectively in the Department of Computer Science and GRASP Laboratory at University of Pennsylvania (UPENN), USA.
Research Interests
My research interests are computer vision such as video understanding, 3D object detection, object tracking, video recommendation system and other related fields, especially focus on weakly or unsupervised methods.
Recent publications
1). Hu Zhao, Keyan Ren*, Tianyi Yue, Chun Zhang, Shuai Yuan. TransFG: A Cross-view geo-localization of Satellite and UAVs Imagery Pipeline using Transformer-Based Feature Aggregation and Gradient Guidance. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024. (SCI, IF: 8.2; CCF)
2). Keyan Ren, Tong Yan, Zhaoxin Hu, Honggui Han, Yunlu Zhang. Image Attention Transformer Network for Indoor 3D Object Detection. Science China– Technological, 2023. (SCI, IF: 4.6)
3). Chun Zhang, Keyan Ren*, Qingyun Bian, Yu Shi. Less is More: Decoupled High-Semantic Encoding for Action Recognition. 2023 ACM International Conference on Multimedia Retrieval (ICMR 2023), Greece. (EI)
4). Keyan Ren*, Shuai Yuan, Chun Zhang, Yu Shi and Zhiqing Huang. CANET: A Hierarchical CNN-Attention Model for Network Intrusion Detection. Computer Communications, 2023. (SCI, IF:5.047)
5).Siyang Li, Yu Guo, Hao Ren, Ziyi Wang, Keyan Ren*, etc. FCNet: A feature context network based on ensemble framework for image retrieval. IET Computer Vision, 2022. (SCI, IF:1.484)
6). Chun Zhang, Keyan Ren*. LRATD: A Lightweight Real-Time Abnormal Trajectory Detection Approach for Road Traffic surveillance. Neural Computing and Applications, 2022. (SCI, IF:5.130)
7). Keyan Ren, Meiying Gu, Zhengqian Yuan, Shuai Yuan. 3D Object Detection Algorithms in Autonomous Driving: A Review. Control and Decision, 2022. (EI)
8). Yunlu Zhang, Keyan Ren*, Chun Zhang, Tong Yan, SG-TCN: Semantic Guidance Temporal Convolutional Network for Action Segmentation. The 21st International Joint Conference on Neural Networks (IJCNN 2022), Italy. (EI)
9). Keyan Ren*, Haochen Hou, Siyang Li, Tianyi Yue. LaneDraw: Cascaded lane and its bifurcation detection with nested fusion. ScienceChina–Technological, 2021. (SCI, IF:4.256)
Teaching
Digital Image Processing
Machine Learning Theory and Application