activity
20192026
most citedRGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss

189 citations · 197 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Breaking Modality Gap in RGBT Tracking: Coupled Knowledge Distillation

Andong Lu, Jiacong Zhao, Chenglong Li +2

Modality gap between RGB and thermal infrared (TIR) images is a crucial issue but often overlooked in existing RGBT tracking methods. It can be observed that modality gap mainly li…

cs.CV2024★ 1 cited

Cross-modulated Attention Transformer for RGBT Tracking

Yun Xiao, Jiacong Zhao, Andong Lu +4

Existing Transformer-based RGBT trackers achieve remarkable performance benefits by leveraging self-attention to extract uni-modal features and cross-attention to enhance multi-mod…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens

Dengdi Sun, Yajie Pan, Andong Lu +2

Many RGBT tracking researches primarily focus on modal fusion design, while overlooking the effective handling of target appearance changes. While some approaches have introduced h…