3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.NE2024
SkipSNN: Efficiently Classifying Spike Trains with Event-attention
Hang Yin, Yao Su, Liping Liu +3
Spike train classification has recently become an important topic in the machine learning community, where each spike train is a binary event sequence with \emph{temporal-sparsity…
cs.LG2023★ 1 cited
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt
Yiran Li, Junpeng Wang, Xin Dai +5
Vision transformer (ViT) expands the success of transformer models from sequential data to images. The model decomposes an image into many smaller patches and arranges them into a…
cs.CV2022★ 3 cited
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration
Yao Su, Xin Dai, Lifang He +1
Deformable image registration, i.e., the task of aligning multiple images into one coordinate system by non-linear transformation, serves as an essential preprocessing step for neu…