2 citations · 2 across the 6 of their papers we have counts for
6 papers
EMRRG: Efficient Fine-Tuning Pre-trained X-ray Mamba Networks for Radiology Report Generation
Mingzheng Zhang, Jinfeng Gao, Dan Xu +5
X-ray image-based medical report generation (MRG) is a pivotal area in artificial intelligence that can significantly reduce diagnostic burdens for clinicians and patient wait time…
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…
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
Lan Chen, Haoxiang Yang, Pengpeng Shao +5
Pattern recognition leveraging both RGB and Event cameras can significantly enhance performance by deploying deep neural networks that utilize a fine-tuning strategy. Inspired by t…
Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition
Lan Chen, Dong Li, Xiao Wang +5
Existing event stream-based pattern recognition models usually represent the event stream as the point cloud, voxel, image, etc., and design various deep neural networks to learn t…
Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition
Haoxiang Yang, Chengguo Yuan, Yabin Zhu +3
The mainstream human activity recognition (HAR) algorithms are developed based on RGB cameras, which are easily influenced by low-quality images (e.g., low illumination, motion blu…
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
Chengguo Yuan, Yu Jin, Zongzhen Wu +4
Recognizing target objects using an event-based camera draws more and more attention in recent years. Existing works usually represent the event streams into point-cloud, voxel, im…