74 citations · 115 across the 5 of their papers we have counts for
6 papers
UPSCALE: Unconstrained Channel Pruning
Alvin Wan, Hanxiang Hao, Kaushik Patnaik +5
As neural networks grow in size and complexity, inference speeds decline. To combat this, one of the most effective compression techniques -- channel pruning -- removes channels fr…
Generative Multiplane Images: Making a 2D GAN 3D-Aware
Xiaoming Zhao, Fangchang Ma, David Güera +3
What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifi…
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs
Emily R. Bartusiak, Sri Kalyan Yarlagadda, David Güera +4
The widespread availability of image editing tools and improvements in image processing techniques allow image manipulation to be very easy. Oftentimes, easy-to-use yet sophisticat…
Locating Objects Without Bounding Boxes
Javier Ribera, David Güera, Yuhao Chen +1
Recent advances in convolutional neural networks (CNN) have achieved remarkable results in locating objects in images. In these networks, the training procedure usually requires pr…
A Counter-Forensic Method for CNN-Based Camera Model Identification
David Güera, Yu Wang, Luca Bondi +3
An increasing number of digital images are being shared and accessed through websites, media, and social applications. Many of these images have been modified and are not authentic…
Reliability Map Estimation For CNN-Based Camera Model Attribution
David Güera, Sri Kalyan Yarlagadda, Paolo Bestagini +3
Among the image forensic issues investigated in the last few years, great attention has been devoted to blind camera model attribution. This refers to the problem of detecting whic…