教师简介

卢宪凯,山东大学软件学院,研究员,硕士生导师,2021年入选中国科协青年人才托举工程。本科毕业于山东大学,博士毕业于上海交通大学模式识别专业,20188月至2020年10月在Inception Institute of Artificial Intelligence(IIAI)担任助理研究员。主要从事计算机视觉,视频目标分割、目标跟踪、机器学习、遥感图像分析等方面的研究工作。主持和参与多项课题研究包括国自然青年基金、山东省自然科学青年基金、之江实验室国际青年人才基金。在IEEE TPAMIIEEE TCSVTIEEE ProceedingsCVPRICCVECCV等国际高水平期刊和顶级会议上发表学术论文30余篇(其中ESI高被引论文3篇),国际专利2项。 担任国际期刊Frontiers in Imaging副编辑(editorial board),模式识别SCI期刊Pattern Recognition客座编委,IJCAI2021 Senior Program Committee Member,长期担任IEEE TPAMI (IF=17.6)TNNLSTCSVTPattern Recognition、TMM等国际期刊审稿人以及CVPR ICCVECCV IJCAI 、AAAI 、ICLR等人工智能顶级会议审稿人,同时是Neurocomputing Pattern Recognition 杰出审稿人。



招生方向:

欢迎有意向2023年攻读人工智能的学硕和攻读软件工程专硕联系我 (软工学硕和人工智能专硕已招满),请在邮件附上简历;(PS:表现优秀且有意向读博者,可推荐到澳门大学、悉尼科技大学、上海交通大学、浙江大学、武汉大学等高水平大学读博!)

所在团队:山东大学人工智能研究中心(http://www.sai.sdu.edu.cn/


研究方向

计算机视觉、深度学习、视频分析(视频目标分割,目标跟踪,跨模态视频检索)、视觉关系建模(图神经网络、自监督学习)


object_tracking_dlib_example01.gif687474703a2f2f7777772e726f626f74732e6f782e61632e756b2f7e797a2f696d672f6769662e676966.gif3117 (1).gif




video moment localization.jpg



[Google Scholar]:https://scholar.google.com/citations?user=QS5V5b8AAAAJ&hl=zh-CN


课程信息

智能机器人导论》,上课时间:2020-2021学年第二学期,1-16周,周五14:00-16:00,AI18级本科生,48课时。





News:

11/2022, one paper about self-supervised video correspondance learning is accepted to Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), congratulation to Zheyun Qin.

10/2022, we set up a special issue on <市政技术> [https://mp.weixin.qq.com/s/tRmP3dFwKGpMMIDLSZG_IA].

07/2022, One paper about label  denoise is accepted to ECCV 2022, congratulations to Qi Wei.

07/2022, One paper about safe semi-supervised learning is accepted to ACMMM 2022 (oral), congratulations to Rundong He.

05/2022, I serve as the editorial board of Frontiers in Imaging [https://www.frontiersin.org/journals?domain=all].

03/2022,  One papers about  safe semi-supervised learning are accepted to CVPR 2022, congratulations to Rundong He. 

01/2022, we set up Special Issue "Deep Perception in Autonomous Driving" in Electronics [https://www.mdpi.com/journal/electronics/special_issues/DPAD_electronics].

11/2021, One paper about Distilled Siamese Networks for Visual Tracking is accepted to IEEE TPAMI.

10/2021, One paper about Video Moment Retrieval is accepted to IEEE TMM, congratulation to Junya Teng.

09/2021, One paper about relational object segmentation is accepted to IEEE TPAMI.

07/2021, One paper (IEEE CSVT 2019) becomes the ESI highly cited paper. 

07/2021, One paper is accepted to ACM Multimedia 2021, congratulation to Zheyun Qin.

03/2021, One paper is accepted to CVPR 2021. 

01/2021, I serve as the IJCAI2021 Senior Program Committee Member. 

12/2020, One paper is accepted to IEEE TPAMI.


主持或参与科研项目:

1. 国家自然科学基金青年项目(2022.1-2024.12),主持 

2. 山东省自然科学青年基金项目(2022.1-2024.12),主持 

3. 人工智能教育部重点实验室2021年度开放基金 (2021.11-2023.12), 主持

4. 中国科协青年人才托举项目 (2021.12-2024.12), 主持


代表论文和期刊:


1. Qi Wei, Haoliang Sun,Xiankai Lu, Yilong Yin. "Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization",in the European Conference on Computer Vision (ECCV), 2022.

2. Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin. "Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data", in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.

3. Junya Teng, Xiankai Lu*, Yongshun Gong,  Xinfang Liu, Xiushan Nie, Yilong Yin, "Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval", IEEE TMM, 2021.

4. Xiankai LuWenguan Wang, Jianbing Shen,  D Crandall, L Van Gool, "Segmenting Objects from Relational Visual Data", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 (CCF A) [paper][code]

5. Zheyun Qin, Xiankai Lu*, Xiushan Nie, Xiantong Zhen, Yilong Yin. Learning Hierarchical Embeddings for Video Instance Segmentation, ACMM MM2021 (CCF A). [paper][code]

6. Wenbin Ge, Xiankai Lu*, Jianbing Shen.  "Video Object Segmentation Using Global and Instance Embedding Learning", in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (CCF A).[paper]

7. Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo "Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 (CCF A)

8. Xiankai Lu, Chao Ma, Jianbing Shen, Xiaokang Yang, Ian Reid, and Ming-Hsuan Yang  "Deep Object Tracking with Shrinkage Loss", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 (CCF A)

9. Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Val Gool,  "Video Object Segmentation with Episodic Graph Memory Networks," in European Conference on Computer Vision  (ECCV), spotlight, 2020 (CCF B). [paper][code

10. Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven C.H.Hoi,  "Learning Video Object Segmentation from Unlabeled Videos," in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (CCF A).  [paper][code]

11 Wenguan Wang, Jianbing Shen, Xiankai Lu, Steven C. H. Hoi, Haibin Ling, "Paying Attention to Video Object Pattern Understanding", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 (CCF A).[paper][code]

12. Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, "Adaptive Region Proposal with Channel Regularization for Robust Object Tracking", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019 (CCF B). [paper][code]

13. Wenguan Wang*, Xiankai Lu*,  Jianbing Shen, David J Crandall, Ling Shao,  "Zero-shot video object segmentation via attentive graph neural networks ", in the IEEE International Conference on Computer Vision (ICCV) Oral, 2019 (CCF A).  [paper][code]

14. Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao, "Human-Aware Motion Deblurring", in the IEEE International Conference on Computer Vision (ICCV), 2019 (CCF A).  [paper][code] 

15. Xiankai Lu*, Wenguan Wang*, Chao Ma, Jianbing Shen, Ling Shao, and Fatih Porikli, "See More, Know More: Unsupervised Video Object Segmentation with Co-attention Siamese Network," in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (CCF A).  [paper][code]

16. Xiankai Lu*, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, and Ming-Hsuan Yang, "Deep Regression Tracking with Shrinkage Loss," in European Conference on Computer Vision (ECCV), 2018 (CCF B). [paper][code]

17. Xiankai Lu, Z. Fang, T. Xu, H. Zhang, H. Tuo. ”Efficient Image Categorization with Sparse Fisher Vector”, ICASSP 2015. (CCF B)

研究概况

计算机视觉,视频分析与理解,深度学习,机器学习

版权所有   ©山东大学 地址:中国山东省济南市山大南路27号 邮编:250100 
查号台:(86)-0531-88395114
值班电话:(86)-0531-88364731 建设维护:山东大学信息化工作办公室   
技术支持qq群:820336447