activity
20202026
most citedHiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

17 citations · 42 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

PPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecture

Jie Li, Shengwei Tian, Long Yu +1

Existing point cloud completion methods struggle to balance high-quality reconstruction with computational efficiency. To address this, we propose PPC-MT, a novel parallel framewor…

cs.CV2025★ 2 cited

Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion

Jie Li, Shengwei Tian, Long Yu +1

The Chamfer Distance (CD) is a cornerstone objective function for point cloud completion, yet its inherent symmetric weighting mechanism limits the quality of the generated results…

cs.CV2023★ 3 cited

AxWin Transformer: A Context-Aware Vision Transformer Backbone with Axial Windows

Fangjian Lin, Yizhe Ma, Sitong Wu +2

Recently Transformer has shown good performance in several vision tasks due to its powerful modeling capabilities. To reduce the quadratic complexity caused by the attention, some…

cs.CV2023★ 15 cited

PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation

Yizhe Ma, Fangjian Lin, Sitong Wu +2

The lightweight MLP-based decoder has become increasingly promising for semantic segmentation. However, the channel-wise MLP cannot expand the receptive fields, lacking the context…

eess.IV2022★ 17 cited

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

Xiangzuo Huo, Gang Sun, Shengwei Tian +5

Medical image classification has developed rapidly under the impetus of the convolutional neural network (CNN). Due to the fixed size of the receptive field of the convolution kern…

cs.CV2020★ 1 cited

DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution

Hongfeng You, Long Yu, Shengwei Tian +3

Since medical image data sets contain few samples and singular features, lesions are viewed as highly similar to other tissues. The traditional neural network has a limited ability…