1个人简介

李佳男，博士，12BET注册预聘助理教授（特别副研究员）。长期从事光电成像目标探测与识别、光计算与智能感知、计算机视觉等方向研究。以第一作者发表论文16篇，平均影响因子13.4，包括IEEE TPAMI 4篇、ESI高被引1篇，单篇被引超850次2篇；以通讯作者发表论文50余篇，包括IEEE TMI、TNNLS、NeurIPS 、CVPR、ECCV (Oral) 等。论文单篇最高被引900余次，谷歌学术总引4400余次。相关研究成果在“中国天眼”等国家重大科技基础设施中得到重要应用。

主持国家自然科学基金青年基金等项目7项；入选中国科协、北京市科协“青年人才托举工程”，获得中国图象图形学学会优秀博士学位论文、王大珩高校员工光学奖、北京市三好员工、ImageNet国际大规模视觉识别挑战赛团队冠军等荣誉。

指导研究生获得ICCV 2021“反无人机跟踪”挑战赛国际冠军及最佳论文奖、ECCV 2022“点云目标鲁棒识别”挑战赛国际季军、第四届“空天杯”创新创意大赛全国二等奖、中国高等教育博览会“校企合作 双百计划”典型案例、第九届高效科技创新成果展示推介会“一等奖”等。

2教育经历

2009.09-2013.07，12BET，学士B.S；

2013.09-2019.03，12BET，博士Ph.D；

2015.08-2017.08，新加坡国立大学，联合培养博士Ph.D。

3工作经历

2019.07-2020.07，新加坡国立大学，博士后研究员；

2020.11-至今，12BET注册，教师。

4研究领域

1. 光电成像目标探测与识别

2. 光计算与智能感知

3. 计算机视觉

5代表性学术成果

【论文】

[1] Jianan Li, Shaocong Dong, Lihe Ding, and Tingfa Xu . MsSVT++: Mixed-Scale Sparse Voxel Transformer With Center Voting for 3D Object Detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (IF: 23.6)

[2] Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu. Layoutgan: Synthesizing graphic layouts with vector-wireframe adversarial networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 43(7): 2388-2399. (IF: 23.6)

[3] Shenwang Jiang*, Jianan Li*, Jizhou Zhang, Ying Wang, and Tingfa Xu . Dynamic Loss For Robust Learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (IF: 23.6)

[4] Bo Huang*, Jianan Li*, Junjie Chen, Gang Wang, Jian Zhao, and Tingfa Xu, Anti-UAV410: A Thermal Infrared Benchmark and Customized Scheme for Tracking Drones in the Wild[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (IF: 23.6)

[5] Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Jiashi Feng, and Shuicheng Yan . Scale-aware fast R-CNN for pedestrian detection[J]. IEEE transactions on Multimedia, 2017, 20(4): 985-996. (IF: 7.3, ESI)

[6] Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, and Shuicheng Yan . Perceptual generative adversarial networks for small object detection[C]//Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR). 2017: 1222-1230.

[7] Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu. LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators [C]//International Conference on Learning Representations (ICLR), 2019.

[8] Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, and Tingfa Xu . Attribute-conditioned layout gan for automatic graphic design[J]. IEEE Transactions on Visualization and Computer Graphics, 2020, 27(10): 4039-4048. (IF: 5.2)

[9] Shenwang Jiang*, Jianan Li*, Ying Wang, Wenxuan Wu, Jizhou Zhang, Bo Huang, and Tingfa Xu . MetaSeg: Content-aware meta-net for omni-supervised semantic segmentation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. (IF: 10.4)

[10] Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, and Shuicheng Yan . Attentive contexts for object detection[J]. IEEE Transactions on Multimedia, 2016, 19(5): 944-954. (IF: 7.3)

[11] Jianan Li, Xiaodan Liang, Jianshu Li, Yunchao Wei, Tingfa Xu, Jiashi Feng, and Shuicheng Yan . Multistage object detection with group recursive learning[J]. IEEE Transactions on Multimedia, 2017, 20(7): 1645-1655. (IF: 7.3)

[12] Jianan Li*, Jie Wang*, and Tingfa Xu PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis[J]. IEEE Transactions on Multimedia, 2024. (IF: 7.3)

[13] Jianan Li, Tingfa Xu, and Kun Zhang . Real-time feature-based video stabilization on FPGA[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 27(4): 907-919. (IF: 8.4)

[14] Jianan Li, Yunchao Wei, Xiaodan Liang, Fang Zhao, Jianshu Li, Tingfa Xu, and Jiashi Feng . Deep attribute-preserving metric learning for natural language object retrieval[C]//Proceedings of the 25th ACM international conference on Multimedia (ACM MM). 2017: 181-189.

[15] Jianan Li*, Shenwang Jiang*, Liqiang Song, Peiran Peng, Feng Mu, Hui Li, Peng Jiang, and Tingfa Xu . Automated optical inspection of FAST’s reflector surface using drones and computer vision[J]. Light: Advanced Manufacturing, 2023, 4(1): 3-13.

[16] 李佳男, 王泽, 许廷发. 基于点云数据的三维目标检测技术研究进展[J]. Acta Optica Sinica, 2023, 43(15): 1515001-1515001-17.

更新时间：2024年4月