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20242026
most citedEvent Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms

2 citations · 4 across the 17 of their papers we have counts for

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21 papers · 1 filter

cs.CV2026

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…

cs.CV2026

Spatial Orthogonal Refinement for Robust RGB-Event Visual Object Tracking

Dexing Huang, Shiao Wang, Fan Zhang +1

Robust visual object tracking (VOT) remains challenging in high-speed motion scenarios, where conventional RGB sensors suffer from severe motion blur and performance degradation. E…

cs.CV2026

RGB-Event HyperGraph Prompt for Kilometer Marker Recognition based on Pre-trained Foundation Models

Xiaoyu Xian, Shiao Wang, Xiao Wang +2

Metro trains often operate in highly complex environments, characterized by illumination variations, high-speed motion, and adverse weather conditions. These factors pose significa…

cs.CV2026

EPRBench: A High-Quality Benchmark Dataset for Event Stream Based Visual Place Recognition

Xiao Wang, Xingxing Xiong, Jinfeng Gao +5

Event stream-based Visual Place Recognition (VPR) is an emerging research direction that offers a compelling solution to the instability of conventional visible-light cameras under…

cs.CV2026

Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking

Shiao Wang, Xiao Wang, Haonan Zhao +6

Existing RGB-Event visual object tracking approaches primarily rely on conventional feature-level fusion, failing to fully exploit the unique advantages of event cameras. In partic…

cs.CV2025

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…