most citedRotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning

Hao Tang, Junhao Lu, Guoheng Huang +5

In Few-Shot Learning (FSL), traditional metric-based approaches often rely on global metrics to compute similarity. However, in natural scenes, the spatial arrangement of key insta…

cs.CV2024

Adaptive Query Prompting for Multi-Domain Landmark Detection

Yuhui Li, Qiusen Wei, Guoheng Huang +5

Medical landmark detection is crucial in various medical imaging modalities and procedures. Although deep learning-based methods have achieve promising performance, they are mostly…

cs.CV2024

Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation

Yulin Chen, Guoheng Huang, Kai Huang +5

Accurate segmentation of lesion regions is crucial for clinical diagnosis and treatment across various diseases. While deep convolutional networks have achieved satisfactory result…

cs.GR20242 cited

QEAN: Quaternion-Enhanced Attention Network for Visual Dance Generation

Zhizhen Zhou, Yejing Huo, Guoheng Huang +4

The study of music-generated dance is a novel and challenging Image generation task. It aims to input a piece of music and seed motions, then generate natural dance movements for t…

eess.IV20243 cited

Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation

Hao Tang, Lianglun Cheng, Guoheng Huang +3

Image segmentation holds a vital position in the realms of diagnosis and treatment within the medical domain. Traditional convolutional neural networks (CNNs) and Transformer model…