金骁 照片

金骁

讲师 博士

所属大学: 南开大学

所属学院: 人工智能学院

邮箱:
jinxiao@nankai.edu.cn

个人主页:
https://ai.nankai.edu.cn/info/1035/3947.htm

个人简介

个人简介 [1] 南开大学, 人工智能学院, 控制科学与工程专业 [2] The University of British Columbia, Department of Electrical and Computer Engineering,联合培养 [3] 天津大学, 信息与通信工程专业,博士学位 [4] 天津大学, 电子信息工程专业,学士学位

专利: [1] 一种图像重采样操作插值类型识别方法,专利类别: 发明, 已授权,公开号 CN106845540B [2] 一种图像重采样操作检测方法,专利类别: 发明, 已授权,公开号 CN106709915B [3] 一种电视台标删除检测方法,专利类别: 发明, 已授权,公开号 CN107046649B

讲授课程 本科必修课《深度学习基本原理与编程实践》(34课时) 本科必修课《机器学习》(34课时) 本科选修课《Python语言程序设计》(34课时)

研究领域

计算机视觉、多媒体技术 [1] 计算机视觉:让计算机或机器人,通过分析视觉信息(图像和视频等),感知外部环境; [2] 多媒体技术:对不同模态多媒体内容(图像、视频、语音、文本、3D模型等)进行分析,并发现其中的规律线索。

学术兼职

IEEE/CCF/CAA 会员

审稿:IEEE JBHI, Elsevier PR/PRL/NEUCOM/IMAVIS/DISPLA, Springer MTAP 等期刊审稿人

近期论文

[7] Xiao Jin, Zhen He, Jing Xu, Yongwei Wang, Yuting Su. Object-Based Video Forgery Detection via Dual-Stream Networks. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021.

[6] Xiao Jin, Yuting Su, Liang Zou, Chengqian Zhang, Peiguang Jing, Xuemeng Song. Video logo removal detection based on sparse representation. Multimedia Tools and Applications 77 (22), 29303-29322, 2018.

[5] Xiao Jin, Yuting Su, Yongwei Wang, Z Jane Wang. Image Inpainting Detection Based on a Modified Formulation of Canonical Correlation Analysis. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), 2018.

[4] Xiao Jin, Peiguang Jing, Yuting Su. AMFNet: An adversarial network for median filtering detection. IEEE Access 6, 50459-50467, 2018.

[3] Xiao Jin, Yuting Su, Liang Zou, Yongwei Wang, Peiguang Jing, Z. Jane Wang. Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints. IEEE Access 6, 49967-49978, 2018.

[2] Peiguang Jing, Yuting Su, Xiao Jin, Chengqian Zhang. High-order temporal correlation model learning for time-series prediction. IEEE Transactions on Cybernetics 49 (6), 2385-2397, 2018.

[1] Yuting Su, Xiao Jin, Chengqian Zhang, Yawei Chen. Hierarchical image resampling detection based on blind deconvolution. Journal of Visual Communication and Image Representation 48, 480-490, 2017.