2 citations · 2 across the 1 of their papers we have counts for
22 papers
Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition
Yuxiang Zhang, Chengguo Yuan, Xiao Wang +2
Sampled point and voxel methods are usually employed to downsample the dense events into sparse ones. After that, one popular way is to leverage a graph model which treats the spar…
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…
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…
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…
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…