2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026★ 2 cited
Strip-Fusion: Spatiotemporal Fusion for Multispectral Pedestrian Detection
Asiegbu Miracle Kanu-Asiegbu, Nitin Jotwani, Xiaoxiao Du
Pedestrian detection is a critical task in robot perception. Multispectral modalities (visible light and thermal) can boost pedestrian detection performance by providing complement…
cs.CV2024
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection
Xiangbo Gao, Asiegbu Miracle Kanu-Asiegbu, Xiaoxiao Du
This paper proposes MambaST, a plug-and-play cross-spectral spatial-temporal fusion pipeline for efficient pedestrian detection. Several challenges exist for pedestrian detection i…