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

19 citations · 29 across the 23 of their papers we have counts for

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6 papers · 1 filter

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…

cs.CV2025

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…

cs.CV2025

Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach

Shiao Wang, Xiao Wang, Liye Jin +5

Existing tracking algorithms typically rely on low-frame-rate RGB cameras coupled with computationally intensive deep neural network architectures to achieve effective tracking. Ho…

cs.CV2025

Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset

Shiao Wang, Xiao Wang, Bo Jiang +5

Human Activity Recognition (HAR) primarily relied on traditional RGB cameras to achieve high-performance activity recognition. However, the challenging factors in real-world scenar…

cs.CV2025

RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework

Xiao Wang, Haiyang Wang, Shiao Wang +5

Existing pedestrian attribute recognition methods are generally developed based on RGB frame cameras. However, these approaches are constrained by the limitations of RGB cameras, s…

cs.CV2025

Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark

Shiao Wang, Xiao Wang, Chao Wang +5

We then introduce a novel hierarchical knowledge distillation strategy that incorporates the similarity matrix, feature representation, and response map-based distillation to guide…