1 citations · 1 across the 6 of their papers we have counts for
6 papers
Cross-Modal UAV Object Tracking: State-Aware Representation Learning and A Unified Benchmark
Yun Xiao, Zhihong Hong, Jiandong Jin +3
Unmanned Aerial Vehicle (UAV) object tracking has emerged as a popular research field with broad practical applications. Modern UAVs are increasingly equipped with both visible lig…
Sparse-Dense Mixture of Experts Adapter for Multi-Modal Tracking
Yabin Zhu, Jianqi Li, Chenglong Li +3
Parameter-efficient fine-tuning (PEFT) techniques, such as prompts and adapters, are widely used in multi-modal tracking because they alleviate issues of full-model fine-tuning, in…
Decoupled Cross-Modal Alignment Network for Text-RGBT Person Retrieval and A High-Quality Benchmark
Yifei Deng, Chenglong Li, Zhenyu Chen +2
The performance of traditional text-image person retrieval task is easily affected by lighting variations due to imaging limitations of visible spectrum sensors. In recent years, c…
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
Yabin Zhu, Qianwu Wang, Chenglong Li +2
The complementary benefits from visible and thermal infrared data are widely utilized in various computer vision task, such as visual tracking, semantic segmentation and object det…
Prototype-based Cross-Modal Object Tracking
Lei Liu, Chenglong Li, Futian Wang +2
Cross-modal object tracking is an important research topic in the field of information fusion, and it aims to address imaging limitations in challenging scenarios by integrating sw…
Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset
Lei Liu, Mengya Zhang, Cheng Li +2
Visual tracking often faces challenges such as invalid targets and decreased performance in low-light conditions when relying solely on RGB image sequences. While incorporating add…