2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework
Xiao Wang, Haiyang Wang, Shiao Wang +5
Existing pedestrian attribute recognition methods are generally developed based on RGB frame cameras. However, these approaches are constrained by the limitations of RGB cameras, s…
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…
cs.CV2024★ 2 cited
Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
Jiandong Jin, Xiao Wang, Qian Zhu +2
Pedestrian Attribute Recognition (PAR) is one of the indispensable tasks in human-centered research. However, existing datasets neglect different domains (e.g., environments, times…