17 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception
Chuanyu Luo, Nuo Cheng, Sikun Ma +4
Common deep learning models for 3D environment perception often use pillarization/voxelization methods to convert point cloud data into pillars/voxels and then process it with a 2D…
LEST: Large-scale LiDAR Semantic Segmentation with Transformer
Chuanyu Luo, Nuo Cheng, Sikun Ma +4
Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception. Almost all of the previous state-of-the-art LiDAR semantic segmentati…
Group channel pruning and spatial attention distilling for object detection
Yun Chu, Pu Li, Yong Bai +3
Due to the over-parameterization of neural networks, many model compression methods based on pruning and quantization have emerged. They are remarkable in reducing the size, parame…
Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video
Pu Li, Xiaobai Liu
This paper presents an unsupervised approach that leverages raw aerial videos to learn to estimate planar homographic transformation between consecutive video frames. Previous lear…