2 citations · 6 across the 19 of their papers we have counts for
21 papers
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…
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…
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…
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…
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…
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…
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…
When Person Re-Identification Meets Event Camera: A Benchmark Dataset and An Attribute-guided Re-Identification Framework
Xiao Wang, Qian Zhu, Shujuan Wu +2
Recent researchers have proposed using event cameras for person re-identification (ReID) due to their promising performance and better balance in terms of privacy protection, event…
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…
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…
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…
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…
Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms
Xiao Wang, Yuehang Li, Fuling Wang +5
Accurate sign language understanding serves as a crucial communication channel for individuals with disabilities. Current sign language translation algorithms predominantly rely on…
EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition
Xiao Wang, Jingtao Jiang, Dong Li +5
Mainstream Scene Text Recognition (STR) algorithms are developed based on RGB cameras which are sensitive to challenging factors such as low illumination, motion blur, and cluttere…
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…
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
Yumiao Zhao, Bo Jiang, Xiao Wang +2
Adapter-based tuning methods have shown significant potential in transferring knowledge from pre-trained Vision-Language Models to the downstream tasks. However, after reviewing ex…
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset
Xiao Wang, Fuling Wang, Yuehang Li +5
X-ray image-based medical report generation (MRG) is a pivotal area in artificial intelligence which can significantly reduce diagnostic burdens and patient wait times. Despite sig…
Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms
Xiao Wang, Shiao Wang, Pengpeng Shao +3
Human Action Recognition (HAR) stands as a pivotal research domain in both computer vision and artificial intelligence, with RGB cameras dominating as the preferred tool for invest…
Event Stream-based Sign Language Translation: A High-Definition Benchmark Dataset and A Novel Baseline
Shiao Wang, Xiao Wang, Duoqing Yang +5
Sign Language Translation (SLT) is a core task in the field of AI-assisted disability. Traditional SLT methods are typically based on visible light videos, which are easily affecte…
R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation
Xiao Wang, Yuehang Li, Fuling Wang +3
Inspired by the tremendous success of Large Language Models (LLMs), existing Radiology report generation methods attempt to leverage large models to achieve better performance. The…