2 citations · 4 across the 14 of their papers we have counts for
15 papers
Event Stream based Multi-Modal Video Anomaly Detection: A Benchmark Dataset and Algorithms
Peipei Zhu, Yueqing Niu, Lin Zhu +3
Video anomaly detection (VAD) is critical for automated surveillance but remains fragile under challenging conditions such as illumination variations, fast motion, and complex back…
Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking
Shiao Wang, Xiao Wang, Duoqing Yang +5
Despite significant progress, RGB-based trackers remain vulnerable to challenging imaging conditions, such as low illumination and fast motion. Event cameras offer a promising alte…
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…
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…
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…
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…
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
Xiao Wang, Yu Jin, Wentao Wu +4
Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid mov…
MambaEVT: Event Stream based Visual Object Tracking using State Space Model
Xiao Wang, Chao wang, Shiao Wang +4
Event camera-based visual tracking has drawn more and more attention in recent years due to the unique imaging principle and advantages of low energy consumption, high dynamic rang…
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…
CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras
Yabin Zhu, Xiao Wang, Chenglong Li +5
Existing datasets for RGB-DVS tracking are collected with DVS346 camera and their resolution () is low for practical applications. Actually, only visible cameras ar…