10 citations · 21 across the 5 of their papers we have counts for
6 papers · 1 filter
SUNet: Scale-aware Unified Network for Panoptic Segmentation
Weihao Yan, Yeqiang Qian, Chunxiang Wang +1
Panoptic segmentation combines the advantages of semantic and instance segmentation, which can provide both pixel-level and instance-level environmental perception information for…
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
Bowen Cheng, Lu Sheng, Shaoshuai Shi +2
3D object detection in point clouds is a challenging vision task that benefits various applications for understanding the 3D visual world. Lots of recent research focuses on how to…
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
Zehan Zhang, Ming Zhang, Zhidong Liang +4
3D vehicle detection based on multi-modal fusion is an important task of many applications such as autonomous driving. Although significant progress has been made, we still observe…
Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios
Xiaoliang Wang, Yeqiang Qian, Chunxiang Wang +1
As one of the most important tasks in autonomous driving systems, ego-lane detection has been extensively studied and has achieved impressive results in many scenarios. However, eg…
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
Zhidong Liang, Ming Yang, Chunxiang Wang
This paper introduces a novel approach for 3D semantic instance segmentation on point clouds. A 3D convolutional neural network called submanifold sparse convolutional network is u…
Joint Calibration of Panoramic Camera and Lidar Based on Supervised Learning
Mingwei Cao, Ming Yang, Chunxiang Wang +2
In view of contemporary panoramic camera-laser scanner system, the traditional calibration method is not suitable for panoramic cameras whose imaging model is extremely nonlinear.…