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20232026
most citedState Space Model for New-Generation Network Alternative to Transformers: A Survey

19 citations · 26 across the 20 of their papers we have counts for

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13 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

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…

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

ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning

Xiao Wang, Jingtao Jiang, Qiang Chen +5

Event stream based scene text recognition is a newly arising research topic in recent years which performs better than the widely used RGB cameras in extremely challenging scenario…

cs.CV2025

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…

cs.CV2025

Adversarial Attack for RGB-Event based Visual Object Tracking

Qiang Chen, Xiao Wang, Haowen Wang +5

Visual object tracking is a crucial research topic in the fields of computer vision and multi-modal fusion. Among various approaches, robust visual tracking that combines RGB frame…