139 citations · 194 across the 6 of their papers we have counts for
7 papers
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Xiao Song, Guorun Yang, Xinge Zhu +4
Recently, records on stereo matching benchmarks are constantly broken by end-to-end disparity networks. However, the domain adaptation ability of these deep models is quite limited…
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
Lin Zhao, Hui Zhou, Xinge Zhu +3
Camera and 3D LiDAR sensors have become indispensable devices in modern autonomous driving vehicles, where the camera provides the fine-grained texture, color information in 2D spa…
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving
Zhenxun Yuan, Xiao Song, Lei Bai +3
The strong demand of autonomous driving in the industry has lead to strong interest in 3D object detection and resulted in many excellent 3D object detection algorithms. However, t…
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
Hui Zhou, Xinge Zhu, Xiao Song +4
State-of-the-art methods for large-scale driving-scene LiDAR semantic segmentation often project and process the point clouds in the 2D space. The projection methods includes spher…
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
Xiao Song, Guorun Yang, Xinge Zhu +3
Recently, records on stereo matching benchmarks are constantly broken by end-to-end disparity networks. However, the domain adaptation ability of these deep models is quite poor. A…
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection
Xiao Song, Xu Zhao, Liangji Fang +1
Recently, leveraging on the development of end-to-end convolutional neural networks (CNNs), deep stereo matching networks have achieved remarkable performance far exceeding traditi…
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching
Xiao Song, Xu Zhao, Hanwen Hu +1
Recent convolutional neural networks, especially end-to-end disparity estimation models, achieve remarkable performance on stereo matching task. However, existed methods, even with…