40 citations · 58 across the 8 of their papers we have counts for
10 papers
Improving Food Detection For Images From a Wearable Egocentric Camera
Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh +3
Diet is an important aspect of our health. Good dietary habits can contribute to the prevention of many diseases and improve the overall quality of life. To better understand the r…
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…
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…
Visual Aware Hierarchy Based Food Recognition
Runyu Mao, Jiangpeng He, Zeman Shao +2
Food recognition is one of the most important components in image-based dietary assessment. However, due to the different complexity level of food images and inter-class similarity…
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection
Daniel Mas Montserrat, János Horváth, S. K. Yarlagadda +2
Satellite imagery is becoming increasingly accessible due to the growing number of orbiting commercial satellites. Many applications make use of such images: agricultural managemen…
Deepfakes Detection with Automatic Face Weighting
Daniel Mas Montserrat, Hanxiang Hao, S. K. Yarlagadda +8
Altered and manipulated multimedia is increasingly present and widely distributed via social media platforms. Advanced video manipulation tools enable the generation of highly real…
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…
A Reflectance Based Method For Shadow Detection and Removal
Sri Kalyan Yarlagadda, Fengqing Zhu
Shadows are common aspect of images and when left undetected can hinder scene understanding and visual processing. We propose a simple yet effective approach based on reflectance t…
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…
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…