no code implementations • 19 Jan 2023 • Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh, Fengqing Zhu, Edward Sazonov, Edward J. Delp
In this paper, we propose an approach to pre-process images collected by the AIM imaging sensor by rejecting extremely blurry images to improve the performance of food detection.
no code implementations • 3 May 2022 • Emily R. Bartusiak, Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Stefano Tubaro, Fengqing M. Zhu, Edward J. Delp
In this paper, we describe the use of a Conditional Generative Adversarial Network (cGAN) to identify the presence of such spliced forgeries within satellite images.
no code implementations • 13 Feb 2021 • Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Guerra, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu
Our method uses a pair of eating scene images, one before start eating and one after eating is completed.
no code implementations • 6 Dec 2020 • Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu
Experimental results demonstrate that our system can significantly improve both classification and recognition performance on 4 publicly available datasets and the new VFN dataset.
no code implementations • 24 Oct 2019 • Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu
The variation in the number of clusters and images captured by different individual makes this a very challenging problem.
no code implementations • 11 Jul 2018 • Sri Kalyan Yarlagadda, Fengqing Zhu
Shadows are common aspect of images and when left undetected can hinder scene understanding and visual processing.
no code implementations • 4 May 2018 • David Güera, Sri Kalyan Yarlagadda, Paolo Bestagini, Fengqing Zhu, Stefano Tubaro, Edward J. Delp
This refers to the problem of detecting which camera model has been used to acquire an image by only exploiting pixel information.
1 code implementation • 13 Feb 2018 • Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp
Specifically, we consider the scenario in which pixels within a region of a satellite image are replaced to add or remove an object from the scene.