59 citations · 120 across the 6 of their papers we have counts for
6 papers
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain
Ziqi Yu, Xiaoyang Han, Shengjie Zhang +3
Segmenting the fine structure of the mouse brain on magnetic resonance (MR) images is critical for delineating morphological regions, analyzing brain function, and understanding th…
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
Li Wang, Liang Du, Xiaoqing Ye +5
The objective of this paper is to learn context- and depth-aware feature representation to solve the problem of monocular 3D object detection. We make following contributions: (i)…
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Hanqing Chao, Kun Wang, Yiwei He +2
Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad applications in crime prevention, forensic identification, and social security. To portr…
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
Liang Du, Xiaoqing Ye, Xiao Tan +4
Object detection from 3D point clouds remains a challenging task, though recent studies pushed the envelope with the deep learning techniques. Owing to the severe spatial occlusion…
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
Liang Du, Jingang Tan, Xiangyang Xue +5
We propose a novel fast and robust 3D point clouds segmentation framework via coupled feature selection, named 3DCFS, that jointly performs semantic and instance segmentation. Insp…
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao, Yiwei He, Junping Zhang +1
As a unique biometric feature that can be recognized at a distance, gait has broad applications in crime prevention, forensic identification and social security. To portray a gait,…