7 papers · 1 filter
Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking
Xiao Wang, Liye Jin, Dan Xu +5
Vision-language tracking guided by natural language specifications leverages high-level semantic cues of target objects to substantially boost tracking accuracy and robustness. Exi…
Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking
Xiao Wang, Xufeng Lou, Zikang Yan +5
RGB-Event tracking improves localization robustness by fusing RGB appearance textures and dense temporal motion cues from event sensors. While this multi-modal scheme broadens trac…
ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking
Xiao Wang, Liye Jin, Xufeng Lou +4
Vision-language tracking has received increasing attention in recent years, as textual information can effectively address the inflexibility and inaccuracy associated with specifyi…
Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset
Xiao Wang, Xufeng Lou, Shiao Wang +3
Existing event stream based trackers undergo evaluation on short-term tracking datasets, however, the tracking of real-world scenarios involves long-term tracking, and the performa…
Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking
Shiao Wang, Ju Huang, Qingchuan Ma +5
Combining traditional RGB cameras with bio-inspired event cameras for robust object tracking has garnered increasing attention in recent years. However, most existing multimodal tr…
Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection
Xiao Wang, Yu Jin, Lan Chen +5
Event-based Vision Sensors (EVS) have demonstrated significant advantages over traditional RGB frame-based cameras in low-light conditions, high-speed motion capture, and low laten…