activity
20182021
most citedWe Need No Pixels: Video Manipulation Detection Using Stream Descriptors

32 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 3 cited

Saliency-Aware Class-Agnostic Food Image Segmentation

Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Guerra +3

Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed…

cs.CV2019

Learning eating environments through scene clustering

Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera +3

It is well known that dietary habits have a significant influence on health. While many studies have been conducted to understand this relationship, little is known about the relat…

cs.LG2019★ 32 cited

We Need No Pixels: Video Manipulation Detection Using Stream Descriptors

David Güera, Sriram Baireddy, Paolo Bestagini +2

Manipulating video content is easier than ever. Due to the misuse potential of manipulated content, multiple detection techniques that analyze the pixel data from the videos have b…

cs.CV2019

Robustness Analysis of Face Obscuration

Hanxiang Hao, David Güera, János Horváth +2

Face obscuration is needed by law enforcement and mass media outlets to guarantee privacy. Sharing sensitive content where obscuration or redaction techniques have failed to comple…

cs.CV2018

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

Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini +3

Current satellite imaging technology enables shooting high-resolution pictures of the ground. As any other kind of digital images, overhead pictures can also be easily forged. Howe…