5 citations · 16 across the 17 of their papers we have counts for
17 papers · 1 filter
Trusted Multi-View Deep Learning Classification of Fetal Congenital Heart Disease with Feature-level and Decision-level Fusion
Tan Zhou, Shifa Yao, Suncheng Xiang +2
Congenital heart disease (CHD) refers to the abnormal anatomical structure caused by the abnormal development of the heart and great vessels during embryonic development. Tradition…
ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning
Crystal Cai, Ziyi Wang, Zhengjie Zhang +3
Colo-segment recognition in colonoscopy videos is a key requirement for many downstream tasks, but existing automatic recognition methods only use colonoscopy images without fully…
GPF-Net: Gated Progressive Fusion Learning for Polyp Re-Identification
Suncheng Xiang, Xiaoyang Wang, Junjie Jiang +2
Colonoscopic Polyp Re-Identification (ReID) aims to match the same polyp across a large gallery of images captured from different viewpoints and with different cameras, playing a c…
LDP: Parameter-Efficient Fine-Tuning of Multimodal LLM for Medical Report Generation
Tianyu Zhou, Junyi Tang, Zehui Li +2
Colonoscopic polyp diagnosis is pivotal for early colorectal cancer detection, yet traditional automated reporting suffers from inconsistencies and hallucinations due to the scarci…
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 Collaborative Knowledge with Multimodal Representation for Polyp Re-Identification
Suncheng Xiang, Jiale Guan, Shilun Cai +2
Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras, which plays an important role…
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…
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…
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…
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…
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…
Deep Multimodal Fusion for Generalizable Person Re-identification
Suncheng Xiang, Hao Chen, Wei Ran +4
Person re-identification plays a significant role in realistic scenarios due to its various applications in public security and video surveillance. Recently, leveraging the supervi…
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation
Yiming Bao, Xu Zhao, Dahong Qian
There exist challenging problems in 3D human pose estimation mission, such as poor performance caused by occlusion and self-occlusion. Recently, IMU-vision sensor fusion is regarde…
SubFace: Learning with Softmax Approximation for Face Recognition
Hongwei Xu, Suncheng Xiang, Dahong Qian
The softmax-based loss functions and its variants (e.g., cosface, sphereface, and arcface) significantly improve the face recognition performance in wild unconstrained scenes. A co…
Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang, Jingsheng Gao, Zirui Zhang +5
Pretraining is a dominant paradigm in computer vision. Generally, supervised ImageNet pretraining is commonly used to initialize the backbones of person re-identification (Re-ID) m…
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
Suncheng Xiang, Guanjie You, Mengyuan Guan +4
Person re-identification (re-ID) plays an important role in applications such as public security and video surveillance. Recently, learning from synthetic data, which benefits from…