activity
20202026
most citedMEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation

15 citations · 49 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.CV2023

LAMM: Label Alignment for Multi-Modal Prompt Learning

Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang +5

With the success of pre-trained visual-language (VL) models such as CLIP in visual representation tasks, transferring pre-trained models to downstream tasks has become a crucial pa…

cs.CV2023★ 1 cited

Supervised Contrastive Learning for Fine-grained Chromosome Recognition

Ruijia Chang, Suncheng Xiang, Chengyu Zhou +3

Chromosome recognition is an essential task in karyotyping, which plays a vital role in birth defect diagnosis and biomedical research. However, existing classification methods fac…

cs.CL2023★ 2 cited

GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction

Jiacheng Ruan, Jingsheng Gao, Mingye Xie +4

The Parameter-Efficient Fine-Tuning (PEFT) method, which adjusts or introduces fewer trainable parameters to calibrate pre-trained models on downstream tasks, has become a recent r…

cs.CV2023★ 1 cited

Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning

Chen Liu, Can Han, Chengfeng Zhou +4

Gesture recognition is a foundational task in human-machine interaction (HMI). While there has been significant progress in gesture recognition based on surface electromyography (s…

eess.IV2023★ 4 cited

Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation

Jiacheng Ruan, Jingsheng Gao, Mingye Xie +1

Recently, Visual Transformer (ViT) has been extensively used in medical image segmentation (MIS) due to applying self-attention mechanism in the spatial domain to modeling global k…

cs.CV2023

Colo-ReID: Discriminative Representation Embedding with Meta-learning for Colonoscopic Polyp Re-Identification

Suncheng Xiang, Chengfeng Zhou, Zhengjie Zhang +2

Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras and plays an important role in…

cs.CV2023★ 1 cited

AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance Segmentation

Dan You, Pengcheng Xia, Qiuzhu Chen +3

Automated chromosome instance segmentation from metaphase cell microscopic images is critical for the diagnosis of chromosomal disorders (i.e., karyotype analysis). However, it is…

cs.CV2023★ 5 cited

Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification

Suncheng Xiang, Jingsheng Gao, Mengyuan Guan +5

Generalizable person re-identification (Re-ID) is a very hot research topic in machine learning and computer vision, which plays a significant role in realistic scenarios due to it…

cs.CV2023

Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval

Qingzhong Chen, Shilun Cai, Crystal Cai +3

Colonoscopic video retrieval, which is a critical part of polyp treatment, has great clinical significance for the prevention and treatment of colorectal cancer. However, retrieval…

cs.CL2023

CluCDD:Contrastive Dialogue Disentanglement via Clustering

Jingsheng Gao, Zeyu Li, Suncheng Xiang +2

A huge number of multi-participant dialogues happen online every day, which leads to difficulty in understanding the nature of dialogue dynamics for both humans and machines. Dialo…