1 citations · 2 across the 18 of their papers we have counts for
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Dynamic Disentangled Fusion Network for RGBT Tracking
Chenglong Li, Tao Wang, Zhaodong Ding +2
RGBT tracking usually suffers from various challenging factors of low resolution, similar appearance, extreme illumination, thermal crossover and occlusion, to name a few. Existing…
VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models
Wentao Wu, Fanghua Hong, Xiao Wang +2
Existing vehicle detectors are usually obtained by training a typical detector (e.g., YOLO, RCNN, DETR series) on vehicle images based on a pre-trained backbone (e.g., ResNet, ViT)…
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba
Andong Lu, Wanyu Wang, Chenglong Li +2
Existing RGBT tracking methods often design various interaction models to perform cross-modal fusion of each layer, but can not execute the feature interactions among all layers, w…
AFter: Attention-based Fusion Router for RGBT Tracking
Andong Lu, Wanyu Wang, Chenglong Li +2
Multi-modal feature fusion as a core investigative component of RGBT tracking emerges numerous fusion studies in recent years. However, existing RGBT tracking methods widely adopt…