15 citations · 38 across the 13 of their papers we have counts for
4 papers · 1 filter
PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification
Kai Yao, Kaizhu Huang, Jie Sun +1
Automatic nuclei segmentation and classification play a vital role in digital pathology. However, previous works are mostly built on data with limited diversity and small sizes, ma…
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
Kai Yao, Kaizhu Huang, Jie Sun +1
We consider unsupervised cell nuclei segmentation in this paper. Exploiting the recently-proposed unpaired image-to-image translation between cell nuclei images and randomly synthe…
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
Jianyun Xu, Ruixiang Zhang, Jian Dou +3
Point clouds can be represented in many forms (views), typically, point-based sets, voxel-based cells or range-based images(i.e., panoramic view). The point-based view is geometric…
Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments
Xin Wei, Jixin Lv, Jie Sun +1
This paper proposes a 3D LiDAR SLAM algorithm named Ground-SLAM, which exploits grounds in structured multi-floor environments to compress the pose drift mainly caused by LiDAR mea…