11 citations · 18 across the 4 of their papers we have counts for
4 papers
Adversarial Attacks on Co-Occurrence Features for GAN Detection
Michael Goebel, B. S. Manjunath
Improvements in Generative Adversarial Networks (GANs) have greatly reduced the difficulty of producing new, photo-realistic images with unique semantic meaning. With this rise in…
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
Devendra K. Jangid, Neal R. Brodnik, Amil Khan +4
In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years. However, 3D object generation has not garnered the same…
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision
R. Austin McEver, B. S. Manjunath
Current state of the art methods for generating semantic segmentation rely heavily on a large set of images that have each pixel labeled with a class of interest label or backgroun…
Deep Learning Methods for Event Verification and Image Repurposing Detection
M. Goebel, A. Flenner, L. Nataraj +1
The authenticity of images posted on social media is an issue of growing concern. Many algorithms have been developed to detect manipulated images, but few have investigated the ab…