I am an Electrical and Computer Engineering PhD student at Purdue University, member of the VIPER Lab, and advised by Prof. Edward Delp.

I was a Deep Learning Research Intern at NVIDIA during Summer 2017. I worked on Synthetic Data Generation and Unsupervised Domain Adaptation with GANs.

I received a Bachelor's degree in Telecommunications Systems Engineering after attending UPC BarcelonaTech - Telecom BCN, where I collaborated with the NanoSat Lab, led by Adriano Camps and Eduard Alarcón.

My work focuses on applied deep learning, particularly within media forensics (as part of DARPA MediFor Program) and computer vision problems.


Publications


Reliability Map Estimation For CNN-Based Camera Model Attribution

D. Güera, S. K. Yarlagadda, P. Bestagini, F. Zhu, S. Tubaro, E. J. Delp

IEEE Winter Conference on Applications of Computer Vision (WACV)

To appear - March 2018 - Lake Tahoe, NV


Quality-Adaptive Deep Learning For Pedestrian Detection

K. Tahboub, D. Güera, A. R. Reibman, E. J. Delp

IEEE International Conference on Image Processing (ICIP)

September 2017 - Beijing, China


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

D. Güera, Y. Wang, L. Bondi, P. Bestagini, S. Tubaro, E. J. Delp

IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

July 2017 - Honolulu, HI


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

L. Bondi, S. Lameri, D. Güera, P. Bestagini, E. J. Delp, S. Tubaro

IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

July 2017 - Honolulu, HI


A Preliminary Study On Convolutional Neural Networks For Camera Model Identification

L. Bondi, D. Güera, L. Baroffio, P. Bestagini, E. J. Delp, S. Tubaro

IS&T International Symposium on Electronic Imaging (EI)

January 2017 - Burlingame, CA


First Steps Toward Camera Model Identification With Convolutional Neural Networks

L. Bondi, L. Baroffio, D. Güera, P. Bestagini, E. J. Delp, S. Tubaro

IEEE Signal Processing Letters (SPL)

December 2016


Graduate Courses


ECE 637: Digital Image Processing I Prof. Charles Bouman
ECE 634: Digital Video Systems Prof. Amy Reibman
ECE 600: Random Variables Prof. Mary Comer
ECE 595: Computer Network Systems Prof. Sanjay Rao
ECE 538: Digital Signal Processing I Prof. Michael Zoltowski
MA 511: Linear Algebra Prof. Alexandre Eremenko