40 citations · 65 across the 9 of their papers we have counts for
10 papers
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
Maosheng Ye, Shuangjie Xu, Tongyi Cao +1
We present a novel and flexible architecture for point cloud segmentation with dual-representation iterative learning. In point cloud processing, different representations have the…
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
Zhikang Zou, Xiaoye Qu, Pan Zhou +4
Recent deep networks have convincingly demonstrated high capability in crowd counting, which is a critical task attracting widespread attention due to its various industrial applic…
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation
Daizong Liu, Shuangjie Xu, Xiao-Yang Liu +3
This paper addresses the task of segmenting class-agnostic objects in semi-supervised setting. Although previous detection based methods achieve relatively good performance, these…
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
Maosheng Ye, Shuangjie Xu, Tongyi Cao
We present Hybrid Voxel Network (HVNet), a novel one-stage unified network for point cloud based 3D object detection for autonomous driving. Recent studies show that 2D voxelizatio…
Crowd Counting via Hierarchical Scale Recalibration Network
Zhikang Zou, Yifan Liu, Shuangjie Xu +3
The task of crowd counting is extremely challenging due to complicated difficulties, especially the huge variation in vision scale. Previous works tend to adopt a naive concatenati…
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
Daizong Liu, Shuangjie Xu, Pan Zhou +3
Disease diagnosis on chest X-ray images is a challenging multi-label classification task. Previous works generally classify the diseases independently on the input image without co…