6 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng, Qingjie Liu, Mingming Zhang +2
Hyperspectral image classification (HIC) is an important but challenging task, and a problem that limits the algorithmic development in this field is that the ground truths of hype…
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao, Hao Zeng, Xin Qin +4
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain…
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection
Qingdong He, Zhengning Wang, Hao Zeng +3
3D object detection has become an emerging task in autonomous driving scenarios. Previous works process 3D point clouds using either projection-based or voxel-based models. However…
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
Qingdong He, Zhengning Wang, Hao Zeng +2
Accurate 3D object detection from point clouds has become a crucial component in autonomous driving. However, the volumetric representations and the projection methods in previous…