2 citations · 4 across the 14 of their papers we have counts for
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cs.CV2024
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
Lan Chen, Haoxiang Yang, Pengpeng Shao +5
Pattern recognition leveraging both RGB and Event cameras can significantly enhance performance by deploying deep neural networks that utilize a fine-tuning strategy. Inspired by t…
cs.CV2024
Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition
Lan Chen, Dong Li, Xiao Wang +5
Existing event stream-based pattern recognition models usually represent the event stream as the point cloud, voxel, image, etc., and design various deep neural networks to learn t…
cs.CV2024★ 2 cited
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
Xiao Wang, Qian Zhu, Jiandong Jin +5
Existing pedestrian attribute recognition (PAR) algorithms are mainly developed based on a static image, however, the performance is unreliable in challenging scenarios, such as he…