Gregory Dudek - IEEE Xplore Author Profile

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Gregory Dudek

Also published under: G. Dudek, Greg Dudek, G. L. Dudek

Publications

212

Citations

3,298

Publications by Year

19902025

Co-Authors:

Yasasa AbeysirigoonawardenaTrevor AblettChristopher AgiaGianluca AntonelliN. Ayoung-Chee

Show All Co-Authors (163)

Gregory Dudek

Also published under: G. Dudek, Greg Dudek, G. L. Dudek

Affiliation

Samsung AI Centre

Montreal

QC, Canada

McGill University

Montreal

QC, Canada

Publication Topics

Reward Function,
Markov Decision Process,
User Equipment,
Base Station,
Key Performance Indicators,
Load Balancing,
Traffic Scenarios,
Convolutional Neural Network,
Robot Manipulator,
Rule-based Methods,
Anomaly Detection,
Bounding Box

Biography

Gregory Dudek is an associate professor in the Department of Computer Science and the Centre for Intelligent Machines at McGill University. He received a PhD in computer science from the University of Toronto. Contact him at dudek@cim.mcgill.ca.(Based on document published on 22 January 2007).

Publications

212

Citations

3,298

Publications by Year

19902025

Co-Authors:

Yasasa Abeysirigoonawardena
Trevor Ablett
Christopher Agia
Gianluca Antonelli
N. Ayoung-Chee

Show All Co-Authors (163)

Author's Published Works

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Showing 1-6 of 6 results

Conferences (5)

Journals (1)

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Ling Du(6)
Xiaochun Cao(4)
Yuhang Li(2)
Xiangui Kang(1)
Hua Zhang(1)
School of Computer Science and Technology, Tianjin University, Tianjin, China(2)
School of Computer, Shenyang Aerospace University, Shenyang, China(1)
Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China(1)
School of Information Science, Japan Advanced Institute of Science and Technology, Japan(1)
School of Computer, Shenyang Aerospace University, Tianjin(1)
Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)(2)
2013 IEEE China Summit and International Conference on Signal and Information Processing(1)
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)(1)
2016 IEEE Trustcom/BigDataSE/ISPA(1)
IEEE Transactions on Cybernetics(1)
IEEE(6)
Wuhan, China(2)
Beijing, China(1)
Tianjin, China(1)
Xi'an, China(1)
Privacy Protection(3)
Bitstream(2)
Computational Complexity(2)
Decoding(2)
Discrete Cosine Transform(2)

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A Study on Detection and Recovery of Speech Signal Tampering

Jian Li;Wenhuan Lu;Ling Du;Jianguo Wei;Xiaochun Cao;Jianwu Dang

2016 IEEE Trustcom/BigDataSE/ISPA

Year: 2016 | Conference Paper |

Cited by: Papers (7)

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In this paper, a watermark scheme for detecting and recovering the tampering of speech signal is proposed. We embed an approximate version of the origin information into the less significant bits (LSBs). When the watermarked signal is tampered, we can localize the tampered area and exclude from the area, recovery the original one from the approximate version. Based the embedded information, we est...Show More

A Study on Detection and Recovery of Speech Signal Tampering

Jian Li;Wenhuan Lu;Ling Du;Jianguo Wei;Xiaochun Cao;Jianwu Dang

2016 IEEE Trustcom/BigDataSE/ISPA

Year: 2016 | Conference Paper |

High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation

Xiaochun Cao;Ling Du;Xingxing Wei;Dan Meng;Xiaojie Guo

IEEE Transactions on Cybernetics

Year: 2016 | Volume: 46, Issue: 5 | Journal Article |

Cited by: Papers (295)

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Reversible data hiding in encrypted images has attracted considerable attention from the communities of privacy security and protection. The success of the previous methods in this area has shown that a superior performance can be achieved by exploiting the redundancy within the image. Specifically, because the pixels in the local structures (like patches or regions) have a strong similarity, they...Show More

High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation

Xiaochun Cao;Ling Du;Xingxing Wei;Dan Meng;Xiaojie Guo

IEEE Transactions on Cybernetics

Year: 2016 | Volume: 46, Issue: 5 | Journal Article |

Privacy preserving for human object in video surveillance via visual cryptography

Ling Du;Yuhang Li

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

Year: 2014 | Conference Paper |

Cited by: Papers (1)

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This paper proposes a privacy preserving scheme for data security in the video surveillance. We firstly separate the foreground for each video frame, and obscure the separated human object by motion blur. For secure storage, each blurred foreground object is encrypted into N shares by visual cryptography, and stored into different servers. Each share is fully confidential and does not convey any m...Show More

Privacy preserving for human object in video surveillance via visual cryptography

Ling Du;Yuhang Li

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

Year: 2014 | Conference Paper |

Semi-fragile watermarking for image tamper localization and self-recovery

Yuhang Li;Ling Du

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

Year: 2014 | Conference Paper |

Cited by: Papers (8)

HTML

This paper proposes a semi-fragile digital watermarking scheme for image tamper localization and self-recovery. Firstly, the authentication watermark is generated for tampered area localization. After that, for content recovery, the recovery watermark is calculated from high frequency band with redundancy free. Then, for the two type of watermarks, the DWT-based watermark embedding method makes ou...Show More

Semi-fragile watermarking for image tamper localization and self-recovery

Yuhang Li;Ling Du

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

Year: 2014 | Conference Paper |

Preserving privacy for video surveillance via visual cryptography

Xiaochun Cao;Na Liu;Ling Du;Chao Li

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

Year: 2014 | Conference Paper |

Cited by: Papers (3)

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The video surveillance widely installed in public areas poses a significant threat to the privacy. This paper proposes a new privacy preserving method via the Generalized Random-Grid based Visual Cryptography Scheme (GRG-based VCS). We first separate the foreground from the background for each video frame. These foreground pixels contain the most important information that needs to be protected. E...Show More

Preserving privacy for video surveillance via visual cryptography

Xiaochun Cao;Na Liu;Ling Du;Chao Li

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

Year: 2014 | Conference Paper |

Device identification based on H.264 cues

Xiaochun Cao;Siyuan Li;Feng Jiang;Hua Zhang;Ling Du;Xiangui Kang

2013 IEEE China Summit and International Conference on Signal and Information Processing

Year: 2013 | Conference Paper |

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With the rapid development of multimedia techniques, the video can easily be edited and tempered. To determine whether a video has been modified from its original recording has become a critical challenge. Thanks to the flexibility of H.264, we observe that different H.264 video parameters are used by various manufacturers. We propose a video capturing device identification approach by exploring t...Show More

Device identification based on H.264 cues

Xiaochun Cao;Siyuan Li;Feng Jiang;Hua Zhang;Ling Du;Xiangui Kang

2013 IEEE China Summit and International Conference on Signal and Information Processing

Year: 2013 | Conference Paper |

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