1 citations · 1 across the 11 of their papers we have counts for
11 papers
Parameter-Dynamic Adaptive Fusion and Calibration Network for RGBT Tracking
Zhaoding Ding, Chenglong Li, Jiandong Jin +2
Existing RGBT trackers typically employ fusion functions with fixed parameters across different targets and scenarios. Although dynamic-architecture methods improve fusion flexibil…
DRGBT-1K: A Large-scale High-quality Benchmark for Dynamic RGBT Tracking
Zhaodong Ding, Chenglong Li, Zeyu Ding +2
Dynamic RGBT (DRGBT) tracking aims to continuously localize a target when the available sensing modalities and observation platforms vary over time. Compared with conventional RGBT…
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…
DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking
Guyue Hu, Haoming Liu, Siyuan Song +3
Aerial object tracking has broad applications in public safety, emergency rescue, wildlife monitoring, and related fields. However, existing aerial tracking benchmarks are mainly b…
T2I-VeRW: Part-level Fine-grained Perception for Text-to-Image Vehicle Retrieval
Xiao Wang, Ziwen Wang, Weizhe Kong +5
Vehicle Re-identification (Re-ID) aims to retrieve the most similar image to a given query from images captured by non-overlapping cameras. Extending vehicle Re-ID from image-only…
RefAerial: A Benchmark and Approach for Referring Detection in Aerial Images
Guyue Hu, Hao Song, Yuxing Tong +5
Referring detection refers to locate the target referred by natural languages, which has recently attracted growing research interests. However, existing datasets are limited to gr…
Cross-modal Fuzzy Alignment Network for Text-Aerial Person Retrieval and A Large-scale Benchmark
Yifei Deng, Chenglong Li, Yuyang Zhang +2
Text-aerial person retrieval aims to identify targets in UAV-captured images from eyewitness descriptions, supporting intelligent transportation and public security applications. C…
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…
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…
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…