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David Güera
David Güera
Other namesDavid Guera Cobo, DG Cobo
Apple; Purdue University
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
Deepfake Video Detection Using Recurrent Neural Networks
D Güera, EJ Delp
IEEE International Conference on Advanced Video and Signal Based …, 2018
10442018
First Steps Toward Camera Model Identification With Convolutional Neural Networks
L Bondi, L Baroffio, D Güera, P Bestagini, EJ Delp, S Tubaro
IEEE Signal Processing Letters 24 (3), 259-263, 2017
3092017
Tampering Detection and Localization through Clustering of Camera-Based CNN Features
L Bondi, S Lameri, D Güera, P Bestagini, EJ Delp, S Tubaro
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2017
2442017
Deepfakes Detection with Automatic Face Weighting
DM Montserrat, H Hao, SK Yarlagadda, S Baireddy, R Shao, E Bartusiak, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020
1372020
Locating Objects Without Bounding Boxes
J Ribera, D Güera, Y Chen, EJ Delp
IEEE Conference on Computer Vision and Pattern Recognition (CVPR - Oral …, 2019
126*2019
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier
SK Yarlagadda, D Güera, P Bestagini, F Maggie Zhu, S Tubaro, EJ Delp
Electronic Imaging 2018 (7), 214-1--214-9, 2018
742018
A preliminary study on convolutional neural networks for camera model identification
L Bondi, D Güera, L Baroffio, P Bestagini, EJ Delp, S Tubaro
Electronic Imaging 2017 (7), 67-76, 2017
692017
A counter-forensic method for CNN-based camera model identification
D Güera, Y Wang, L Bondi, P Bestagini, S Tubaro, EJ Delp
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2017
67*2017
Generative Multiplane Images: Making a 2D GAN 3D-Aware
X Zhao, F Ma, D Güera, Z Ren, AG Schwing, A Colburn
European Conference on Computer Vision (ECCV - Oral), 18-35, 2022
582022
Reliability Map Estimation For CNN-Based Camera Model Attribution
D Güera, SK Yarlagadda, P Bestagini, F Zhu, S Tubaro, EJ Delp
IEEE Winter Conference on Applications of Computer Vision (WACV), 964-973, 2018
482018
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs
ER Bartusiak, SK Yarlagadda, D Güera, P Bestagini, S Tubaro, FM Zhu, ...
IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 91-96, 2019
432019
We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
D Güera, S Baireddy, P Bestagini, S Tubaro, EJ Delp
International Conference on Machine Learning (ICML), Synthetic Realities …, 2019
392019
Anomaly-Based Manipulation Detection in Satellite Images
J Horváth, D Güera, SK Yarlagadda, P Bestagini, FM Zhu, S Tubaro, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2019
312019
Quality-adaptive deep learning for pedestrian detection
K Tahboub, D Güera, AR Reibman, EJ Delp
IEEE International Conference on Image Processing (ICIP), 4187-4191, 2017
202017
Fooling PRNU-Based Detectors Through Convolutional Neural Networks
N Bonettini, L Bondi, D Güera, S Mandelli, P Bestagini, S Tubaro, EJ Delp
European Signal Processing Conference (EUSIPCO), 957-961, 2018
192018
Shadow Removal Detection and Localization for Forensics Analysis
SK Yarlagadda, D Güera, DM Montserrat, P Bestagini, FM Zhu, S Tubaro, ...
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
172019
A Utility-Preserving GAN for Face Obscuration
H Hao, D Güera, AR Reibman, EJ Delp
International Conference on Machine Learning (ICML), Synthetic Realities …, 2019
162019
Robustness Analysis of Face Obscuration
H Hao, D Güera, AR Reibman, EJ Delp
arXiv:1905.05243, 2019
122019
Saliency-Aware Class-Agnostic Food Image Segmentation
SK Yarlagadda, DM Montserrat, D Güera, CJ Boushey, DA Kerr, F Zhu
ACM Transactions on Computing for Healthcare 2 (3), 1-17, 2021
112021
Deepfake detection using multiple data modalities
H Hao, ER Bartusiak, D Güera, D Mas Montserrat, S Baireddy, Z Xiang, ...
Handbook of Digital Face Manipulation and Detection: From DeepFakes to …, 2022
92022
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