Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Xiao Song

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

Aug 17, 2021
Lin Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, Wenbing Tao

  Access Paper or Ask Questions

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving

Nov 27, 2020
Zhenxun Yuan, Xiao Song, Lei Bai, Wengang Zhou, Zhe Wang, Wanli Ouyang

  Access Paper or Ask Questions

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Aug 04, 2020
Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, Dahua Lin

* Source code: 

  Access Paper or Ask Questions

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching

Apr 09, 2020
Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi

* 18 pages, 5 figures, 5 tables 

  Access Paper or Ask Questions

EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection

Mar 05, 2019
Xiao Song, Xu Zhao, Liangji Fang, Hanwen Hu

* 16 pages, 6 figures, 11 tables. It is the journal extension of our paper: arXiv:1803.05196 (Best Paper Award Honorable Mention, ACCV 2018). To be submitted to IJCV 

  Access Paper or Ask Questions

EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching

Sep 23, 2018
Xiao Song, Xu Zhao, Hanwen Hu, Liangji Fang

* Accepted by Asian Conference on Computer Vision (ACCV) 2018 

  Access Paper or Ask Questions

Discriminative Representation Combinations for Accurate Face Spoofing Detection

Aug 28, 2018
Xiao Song, Xu Zhao, Liangji Fang, Tianwei Lin

* To be published in Pattern Recognition 

  Access Paper or Ask Questions

Face Spoofing Detection by Fusing Binocular Depth and Spatial Pyramid Coding Micro-Texture Features

Mar 13, 2018
Xiao Song, Xu Zhao, Tianwei Lin

* 5 pages, 2 figures, accepted by 2017 IEEE International Conference on Image Processing (ICIP) 

  Access Paper or Ask Questions