5 citations · 5 across the 3 of their papers we have counts for
5 papers · 1 filter
Learning Informative Attention Weights for Person Re-Identification
Yancheng Wang, Nebojsa Jojic, Yingzhen Yang
Attention mechanisms have been widely used in deep learning, and recent efforts have been devoted to incorporating attention modules into deep neural networks (DNNs) for person Re-…
Efficient Visual Transformer by Learnable Token Merging
Yancheng Wang, Yingzhen Yang
Self-attention and transformers have been widely used in deep learning. Recent efforts have been devoted to incorporating transformer blocks into different neural architectures, in…
Compact Vision Transformer by Reduction of Kernel Complexity
Yancheng Wang, Yingzhen Yang
Self-attention and transformer architectures have become foundational components in modern deep learning. Recent efforts have integrated transformer blocks into compact neural arch…
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection
Hong Guan, Yancheng Wang, Lulu Xie +8
Effective fraud detection and analysis of government-issued identity documents, such as passports, driver's licenses, and identity cards, are essential in thwarting identity theft…
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel, Utkarsh Nath, Yancheng Wang +3
Deep neural networks, including Convolutional Neural Networks (CNNs) and Visual Transformers (ViT), have achieved stunning success in medical image domain. We study thorax disease…