Personal information

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Other IDs

ResearcherID: T-7568-2017
Scopus Author ID: 57193570578

Keywords

signal and image processing, media forensics, deep learning

Countries

United States

Biography

David Güera is a Ph.D. student, advised by Professor Edward J. Delp in the Video and Image Processing Laboratory (VIPER) at the School of Electrical and Computer Engineering in Purdue University, West Lafayette.

Activities

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Employment (2)

Apple Inc: Seattle, WA, US

2019-10-28 to present | Senior Research Scientist (Hardware Technologies)
Employment
Source: Self-asserted source
David Güera

Purdue University: West Lafayette, IN, US

2016-08 to 2019-10 | Research Assistant at VIPER Lab (Electrical and Computer Engineering)
Employment
Source: Self-asserted source
David Güera

Education and qualifications (2)

Purdue University: West Lafayette, IN, US

2016-08 to present | Ph.D. (Electrical and Computer Engineering)
Education
Source: Self-asserted source
David Güera

Universitat Politècnica de Catalunya: Barcelona, Catalunya, ES

2012-09 to 2016-07 | B.Sc. in Telecommunications Systems Engineering (ETSETB)
Education
Source: Self-asserted source
David Güera

Works (11)

Shadow Removal Detection and Localization for Forensics Analysis

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2019-05 | Conference paper
DOI: 10.1109/icassp.2019.8683695
ISBN: 9781479981311
Source: Self-asserted source
David Güera

Splicing Detection and Localization In Satellite Imagery Using Conditional GANs

2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)
2019-03 | Conference paper
DOI: 10.1109/mipr.2019.00024
ISBN: 9781728111988
Source: Self-asserted source
David Güera

Reliability Map Estimation For CNN-Based Camera Model Attribution

Proceedings of the IEEE Winter Conference on Applications of Computer Vision
2018 | Conference paper
DOI: 10.1109/WACV.2018.00111
Source: Self-asserted source
David Güera

Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

Proceedings of the IS&T International Symposium on Electronic Imaging
2018 | Conference paper
DOI: 10.2352/ISSN.2470-1173.2018.07.MWSF-214
Source: Self-asserted source
David Güera

Deepfake Video Detection Using Recurrent Neural Networks

2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
2018-11 | Conference paper
DOI: 10.1109/avss.2018.8639163
ISBN: 9781538692943
Source: Self-asserted source
David Güera

Fooling PRNU-Based Detectors Through Convolutional Neural Networks

2018 26th European Signal Processing Conference (EUSIPCO)
2018-09 | Conference paper
DOI: 10.23919/eusipco.2018.8553596
ISBN: 9789082797015
Source: Self-asserted source
David Güera

A Counter-Forensic Method for CNN-Based Camera Model Identification

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops
2017 | Conference paper
DOI: 10.1109/CVPRW.2017.230
Source: Self-asserted source
David Güera

A Preliminary Study on Convolutional Neural Networks for Camera Model Identification

Proceedings of the IS&T International Symposium on Electronic Imaging
2017 | Conference paper
DOI: 10.2352/ISSN.2470-1173.2017.7.MWSF-327
Source: Self-asserted source
David Güera

First Steps Toward Camera Model Identification With Convolutional Neural Networks

IEEE Signal Processing Letters
2017 | Journal article
DOI: 10.1109/LSP.2016.2641006
ARXIV: 1603.01068
Source: Self-asserted source
David Güera

Quality-adaptive deep learning for pedestrian detection

Proceedings of the IEEE International Conference on Image Processing
2017 | Conference paper
DOI: 10.1109/ICIP.2017.8297071
Source: Self-asserted source
David Güera

Tampering Detection And Localization Through Clustering Of Camera-Based CNN Features

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops
2017 | Conference paper
DOI: 10.1109/CVPRW.2017.232
Source: Self-asserted source
David Güera
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