3 papers
cs.CV2026
PFM-VEPAR: Prompting Foundation Models for RGB-Event Camera based Pedestrian Attribute Recognition
Minghe Xu, Rouying Wu, ChiaWei Chu +2
Event-based pedestrian attribute recognition (PAR) leverages motion cues to enhance RGB cameras in low-light and motion-blur scenarios, enabling more accurate inference of attribut…
cs.CV2026
UniPAR: A Unified Framework for Pedestrian Attribute Recognition
Minghe Xu, Rouying Wu, Jiarui Xu +5
Pedestrian Attribute Recognition is a foundational computer vision task that provides essential support for downstream applications, including person retrieval in video surveillanc…
cs.CV2024
SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
Haiyang Wang, Qian Zhu, Mowen She +4
Artificial neural network based Pedestrian Attribute Recognition (PAR) has been widely studied in recent years, despite many progresses, however, the energy consumption is still hi…