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20242026
most citedPoint-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition

2 citations · 4 across the 7 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

Mamba-FETrack: Frame-Event Tracking via State Space Model

Ju Huang, Shiao Wang, Shuai Wang +3

RGB-Event based tracking is an emerging research topic, focusing on how to effectively integrate heterogeneous multi-modal data (synchronized exposure video frames and asynchronous…

cs.CV2024

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition

Xiao Wang, Qian Zhu, Jiandong Jin +5

Existing pedestrian attribute recognition (PAR) algorithms are mainly developed based on a static image, however, the performance is unreliable in challenging scenarios, such as he…