2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2025
A Mathematical Explanation of Transformers
Xue-Cheng Tai, Hao Liu, Lingfeng Li +1
The Transformer architecture has revolutionized the field of sequence modeling and underpins the recent breakthroughs in large language models (LLMs). However, a comprehensive math…
cs.CV2024★ 2 cited
A Mathematical Explanation of UNet
Xue-Cheng Tai, Hao Liu, Raymond H. Chan +1
The UNet architecture has transformed image segmentation. UNet's versatility and accuracy have driven its widespread adoption, significantly advancing fields reliant on machine lea…
cs.CV2024
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation
Kehui Zhang, Lingfeng Li, Hao Liu +2
Shape compactness is a key geometrical property to describe interesting regions in many image segmentation tasks. In this paper, we propose two novel algorithms to solve the introd…