3 citations · 6 across the 3 of their papers we have counts for
5 papers
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…
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…
RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation
Liuyuan Deng, Ming Yang, Tianyi Li +2
RGB-D semantic segmentation methods conventionally use two independent encoders to extract features from the RGB and depth data. However, there lacks an effective fusion mechanism…
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.…