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

2014-2016，Brown 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，目前本人在ICCV、ECCV、CVPR、IJCAI、ICRA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.