师资队伍

李笑颜

电话:

E-mail:xiaoyan.li@bjut.edu.cn

通讯地址:北京市朝阳区平乐园100号 北京工业大学

研究方向

计算机视觉机器感知连续学习知识图谱

个人简介

欢迎访问技术分享个人博客

https://www.cnblogs.com/Xiaoyan-Li/

和谷歌学术主页

https://scholar.google.com/citations?hl=zh-CN&user=MCzJnAQAAAAJ

教育简历

2010-2014,天津大学,学士

2014-2016Brown University硕士

2017-2022,中科院计算所,博士

工作履历

2022-至今,北京工业大学,师资博士后

课程教学

本科生教学:计算机视觉,自然语言处理,Python程序设计

代表性研究成果

本人博士期间主要研究机器感知方向,主要包括二维与三维的物体检测、实例分割任务,博士后期间延续了过去的研究方向,此外还在连续学习和知识图谱领域进行了探索,目前本人ICCVECCVCVPRIJCAIICRA等计算机视觉或机器人顶级会议上发表论文5篇,在计算机类别中影响因子最高的期刊TPAMI上发表论文1篇。

主要论文论著

[1] Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, and Baocai Yin. Center Focusing Network for Real-Time LiDAR Panoptic Segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (accepted).

[2] Xiaoyan Li, Gang Zhang, Tao Jiang, Xufen Cai, and Zhenhua Wang. PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic Segmentation. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), pages 1116-1122, 2022(oral).

[3] Xiaoyan Li, Gang Zhang, Hongyu Pan, and Zhenhua Wang. CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation. In Proceedings of the International Conference on Robotics and Automation (ICRA), pages 11125–11131, 2022(oral).

[4] Gang Zhang, Xiaoyan Li, and Zhenhua Wang. Sequential Multi-view Fusion Network for Fast LiDAR Point Motion Estimation. In Proceedings of the European Conference on Computer Vision (ECCV), pages 290-305, 2022.

[5] Benjamin B.Kimia, Xiaoyan Li, Yuliang Guo, and Amir Tamrakar. Differential Geometry in Edge Detection: accurate estimation of position, orientation and curvature. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(7): 1573-1586, 2019.

[6] Xiaoyan Li, Meina Kan, Shiguang Shan, and Xilin Chen. Weakly Supervised Object Detection With Segmentation Collaboration. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 9734–9743, 2019.