5 citations · 6 across the 7 of their papers we have counts for
7 papers
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network
Sijia Du, Chengfeng Zhou, Suncheng Xiang +2
Objective: Depth estimation is crucial for endoscopic navigation and manipulation, but obtaining ground-truth depth maps in real clinical scenarios, such as the colon, is challengi…
Learning Discriminative Visual-Text Representation for Polyp Re-Identification
Suncheng Xiang, Cang Liu, Sijia Du +1
Colonoscopic Polyp Re-Identification aims to match a specific polyp in a large gallery with different cameras and views, which plays a key role for the prevention and treatment of…
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…
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…
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…
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…