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                基本信息

                姓 名 : 卢少平

                性 别 :

                所属部门: 物联网工程系

                行政职务:

                职 称 : 副教授

                学 历 : 博士

                所学专业: 计算机应用技术

                办公电话:

                电子邮件: slu [AT] nankai.edu.cn

                研究方向: 2D/3D图像视频处理、人工智能与机器学习、多媒体内容安全

                个人简介:

                卢少平,网信彩票我的账户网安学院硕导、博导。中国计算机学会(CCF)高级会员、CCF智能机器人专委会首届委员。自2018年由天津市高层次人才计划引进到南开大学任教。回国之前在比利时的布鲁塞尔自由大学(荷语区)分别任博士后及高级研究人员。2012年在清华大学计算机系获得博士学位(导师胡事民教授)。在此之前,曾在上海参与创业团队(已上市)从事高性能视频芯片算法开发工作。


                近年来主持参与国家◥自然科学基金重点、面上、国际合作交流项目、天津市自然科学基金绿色通道项目、天津市人工智能重大专项等科研项目;担任国际人工智能年会AAAI(2020、2021、2022)、亚太地区图形学年会Pacific Graphics(2020、2021)、可视媒体计算国际会议Computational Visual Media(2020、2021)等多∏项主流国际会议的程序委员会委员


                主要研究兴趣在可视媒体计算、人工智能与机器学习、多媒体内容安全,近期研究课题包括2/3D图像视频处理与♀显示、可视场景分析、机器学习、隐写与水印等,相关科研成果发表在包括ACM Trans Graphics(SIGGRAPH/SIGGRAPH ASIA)、IEEE Trans TIP、IEEE Trans TMM、IEEE CVPR、ICCV、AAAI等CCF-A/SCI-1区在内的国际主流期刊和会议。

                近几年部分论文列表如下(具体科研信息详见个人主页:):

                [16] Aesthetic-guided Outward Image Cropping, L. Zhong, F.-H. Li, H.-Z. Huang, Y. Zhang, S.-P. Lu#, J. Wang. ACM Trans. Graphics. SIGGRAPH ASIA40 (6), 211:1-211:13, 2021.

                [15] Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning. Lin Zhao*, Shao-Ping Lu*#, Tao Chen, Zhenglu Yang, and Ariel Shamir. IEEE ICCV, 2021.

                [14] iNAS: Integral NAS for Device-Aware Salient Object Detection. Y.-C. Gu, S.-H. Gao, X. Cao, P. Du, S.-P. Lu, M.-M. Cheng. IEEE ICCV, 2021.

                [13] Low-Rank Constrained Super-Resolution for Mixed-Resolution Multiview Video. Shao-Ping Lu*, Sen-Mao Li*, Rong Wang, Gauthier Lafruit, Ming-Ming Cheng, and Adrian Munteanu. IEEE TIP, 30: 1072-1085, 2021.

                [12] Large-capacity Image Steganography Based on Invertible Neural Networks. Shao-Ping Lu*, Rong Wang*, Tao Zhong, and Paul L. Rosin. IEEE CVPR, 2021.

                [11] Bilateral Attention Network for RGB-D Salient Object Detection. Z. Zhang, Z. Lin, J. Xu, W. Jin, S.-P. Lu*, D.-P. Fan. IEEE TIP, 30: 1949 - 1961, 2021.

                [10] News Content Completion with Location-Aware Image Selection. Z. Zhang, J. Wang, A. Jatowt, Z. Sun, S.-P. Lu, Z. Yang. AAAI, 2021.

                [9] DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. Y. Gu, Y. Liu, Y. Yang, Y-H. Wu, S.-P. Lu, M-M. Cheng. IEEE CVPR, 2021.

                [8] Interactive Image Segmentation With First Click Attention. Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu. IEEE CVPR, 2020.

                [7] Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection. Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu. AAAI, 2020.

                [6] Deep Online Video Stabilization With Multi-Grid Warping Transformation Learning. Miao Wang,Guo-Ye Yang, Jin-Kun Lin,Song-Hai Zhang, Ariel Shamir, Shao-Ping Lu, and Shi-Min Hu. IEEE TIP, 28(5): 2283-2292, 2019.

                [5] Dictionary Learning-based, Directional and Optimized Prediction for Lenslet Image. Rui Zhong, Ionut Schiopu, Bruno Cornelis, Shao-Ping Lu,Junsong Yuan and Adrian Munteanu. IEEE TCSVT, 29(4): 1116-1129, 2019.

                [4] Robust Multiview Synthesis for Wide-Baseline Camera Arrarys. Beerend Ceulemans, Shao-Ping Lu#, Gauthier Lafruit, and Adrian Munteanu. IEEE TMM, 20(9): 2235-2248, 2018.

                [3] BiggerSelfie: Selfie Video Expansion with Hand-held Camera. Miao Wang, Ariel Shamir, Guo-Ye Yang, Jin-Kun Lin, Guo-wei Yang, Shao-Ping Lu, and Shi-Min Hu. IEEE TIP, 27(12): 5854-5865, 2018.

                [2] Structured Skip List: A Compact Data Structure for 3D Reconstruction. Shi-Jie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, and Victor Adrian Prisacariu. IEEE IROS, 2018.

                [1] Hyper-lapse from Multiple Spatially-overlapping Videos. Miao Wang, Jun-Bang Liang, Song-Hai Zhang, Shao-Ping Lu, Ariel Shamir, and Shi-Min Hu. IEEE TIP, 27(4): 1735-1747, 2018.


                本人招收硕、博士研究生,欢迎有志于从事科研探索和挑〖战性工作的同学联系我(可直接发本人邮箱:slu@nankai.edu.cn)。注:学硕和博士生为计○算机科学与技术专业,专硕【为计算机技术。