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2020 – today
- 2024
[j5]Tianhang Wang
, Kai Chen, Guang Chen, Bin Li, Zhijun Li, Zhengfa Liu, Changjun Jiang:
GSC: A Graph and Spatio-Temporal Continuity Based Framework for Accident Anticipation. IEEE Trans. Intell. Veh. 9(1): 2249-2261 (2024)- 2023
- [j4]Zhengfa Liu, Guang Chen, Zhijun Li, Sanqing Qu, Alois Knoll, Changjun Jiang:
D2IFLN: Disentangled Domain-Invariant Feature Learning Networks for Domain Generalization. IEEE Trans. Cogn. Dev. Syst. 15(4): 2269-2281 (2023) - [j3]Zhengfa Liu, Guang Chen, Zhijun Li, Yu Kang, Sanqing Qu, Changjun Jiang:
PSDC: A Prototype-Based Shared-Dummy Classifier Model for Open-Set Domain Adaptation. IEEE Trans. Cybern. 53(11): 7353-7366 (2023) - [c8]Zida Song, Zhengfa Liu:
A Super-Resolution Method for Small Object Detection in Road Scenes. ICARM 2023: 215-220 - [c7]Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois Knoll, Changjun Jiang:
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework. ICCV 2023: 8153-8162 - [c6]Ru Chai, Bin Li, Zhengfa Liu, Zhijun Li, Alois Knoll, Guang Chen:
GAN Inversion Based Point Clouds Denoising in Foggy Scenarios for Autonomous Driving. ICDL 2023: 107-112 - [i2]Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois C. Knoll, Changjun Jiang:
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework. CoRR abs/2303.12400 (2023) - 2022
- [c5]Haitao Wang, Guang Chen, Zhijun Li, Jianyi Peng, Zhengfa Liu, Ya Wu:
Context-aware Method for Small Object Segmentation in Road Scenes. ICARM 2022: 238-243 - [c4]Peigen Liu, Guang Chen, Zhijun Li, Daniel Clarke, Zhengfa Liu, Ruiqi Zhang, Alois C. Knoll:
NeuroDFD: Towards Efficient Driver Face Detection with Neuromorphic Vision Sensor. ICARM 2022: 268-273 - [c3]Ya Wu, Bin Li, Ruiqi Zhang, Guang Chen, Zhijun Li, Zhengfa Liu:
Self-paced Learning for Pedestrian Trajectory Prediction. ICARM 2022: 781-786 - [c2]Chu Yang, Peigen Liu, Guang Chen, Zhengfa Liu, Ya Wu, Alois C. Knoll:
Event-based Driver Distraction Detection and Action Recognition. MFI 2022: 1-7 - 2021
- [j2]Guang Chen, Peigen Liu, Zhengfa Liu, Huajin Tang, Lin Hong, Jinhu Dong, Jörg Conradt, Alois C. Knoll:
NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor. IEEE Trans. Inf. Forensics Secur. 16: 923-936 (2021) - [j1]Ya Wu, Guang Chen, Zhijun Li, Lijun Zhang, Lu Xiong, Zhengfa Liu, Alois C. Knoll:
HSTA: A Hierarchical Spatio-Temporal Attention Model for Trajectory Prediction. IEEE Trans. Veh. Technol. 70(11): 11295-11307 (2021)
2010 – 2019
- 2019
- [c1]Dekai Zhu, Zhongcong Xu, Jinhu Dong, Canbo Ye, Yinbai Hu, Hang Su, Zhengfa Liu, Guang Chen:
Neuromorphic Visual Odometry System For Intelligent Vehicle Application With Bio-inspired Vision Sensor. ROBIO 2019: 2225-2232 - [i1]Dekai Zhu, Jinhu Dong, Zhongcong Xu, Canbo Ye, Yinbai Hu, Hang Su, Zhengfa Liu, Guang Chen:
Neuromorphic Visual Odometry System for Intelligent Vehicle Application with Bio-inspired Vision Sensor. CoRR abs/1909.02490 (2019)
Coauthor Index
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