Neuromorphic Visual Odometry System For Intelligent Vehicle Application With Bio-inspired Vision Sensor. - Dekai Zhu; Zhongcong Xu; Jinhu Dong; Canbo Ye; Yinbai Hu; Hang Su 001; Zhengfa Liu; Guang Chen 001 (ROBIO, 2019)

NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor. - Guang Chen 001; Peigen Liu; Zhengfa Liu; Huajin Tang; Lin Hong; Jinhu Dong; Jörg Conradt; Alois C. Knoll (IEEE Trans. Inf. Forensics Secur., 2021)

HSTA: A Hierarchical Spatio-Temporal Attention Model for Trajectory Prediction. - Ya Wu; Guang Chen 001; Zhijun Li 001; Lijun Zhang; Lu Xiong 001; Zhengfa Liu; Alois C. Knoll (IEEE Trans. Veh. Technol., 2021)

NeuroDFD: Towards Efficient Driver Face Detection with Neuromorphic Vision Sensor. - Peigen Liu; Guang Chen 001; Zhijun Li 001; Daniel Clarke 001; Zhengfa Liu; Ruiqi Zhang; Alois C. Knoll (ICARM, 2022)

Context-aware Method for Small Object Segmentation in Road Scenes. - Haitao Wang; Guang Chen 001; Zhijun Li 001; Jianyi Peng; Zhengfa Liu; Ya Wu (ICARM, 2022)

Self-paced Learning for Pedestrian Trajectory Prediction. - Ya Wu; Bin Li 087; Ruiqi Zhang; Guang Chen 001; Zhijun Li 001; Zhengfa Liu (ICARM, 2022)

Event-based Driver Distraction Detection and Action Recognition. - Chu Yang; Peigen Liu; Guang Chen 001; Zhengfa Liu; Ya Wu; Alois C. Knoll (MFI, 2022)

A Super-Resolution Method for Small Object Detection in Road Scenes. - Zida Song; Zhengfa Liu (ICARM, 2023)

UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework. - Tianhang Wang; Guang Chen 001; Kai Chen; Zhengfa Liu; Bo Zhang; Alois Knoll; Changjun Jiang (ICCV, 2023)

GAN Inversion Based Point Clouds Denoising in Foggy Scenarios for Autonomous Driving. - Ru Chai; Bin Li 025; Zhengfa Liu; Zhijun Li 001; Alois Knoll; Guang Chen 001 (ICDL, 2023)

PSDC: A Prototype-Based Shared-Dummy Classifier Model for Open-Set Domain Adaptation. - Zhengfa Liu; Guang Chen 001; Zhijun Li 001; Yu Kang 001; Sanqing Qu; Changjun Jiang (IEEE Trans. Cybern., 2023)

D2IFLN: Disentangled Domain-Invariant Feature Learning Networks for Domain Generalization. - Zhengfa Liu; Guang Chen 001; Zhijun Li 001; Sanqing Qu; Alois Knoll; Changjun Jiang (IEEE Trans. Cogn. Dev. Syst., 2023)

GSC: A Graph and Spatio-Temporal Continuity Based Framework for Accident Anticipation. - Tianhang Wang; Kai Chen; Guang Chen 001; Bin Li 087; Zhijun Li 001; Zhengfa Liu; Changjun Jiang (IEEE Trans. Intell. Veh., 2024)

Gate-Calibrated Double Disentangled Distribution Matching Network for Cross-Domain Pedestrian Trajectory Prediction. - Zhengfa Liu; Ya Wu; Dequan Zeng; Shihang Du; Boyang Peng (IEEE Signal Process. Lett., 2025)