12 citations · 17 across the 7 of their papers we have counts for
7 papers
Hybrid 3D Human Pose Estimation with Monocular Video and Sparse IMUs
Yiming Bao, Xu Zhao, Dahong Qian
Temporal 3D human pose estimation from monocular videos is a challenging task in human-centered computer vision due to the depth ambiguity of 2D-to-3D lifting. To improve accuracy…
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…
Adaptive Context Selection for Polyp Segmentation
Ruifei Zhang, Guanbin Li, Zhen Li +3
Accurate polyp segmentation is of great significance for the diagnosis and treatment of colorectal cancer. However, it has always been very challenging due to the diverse shape and…
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…