activity
20182021
most citedA Utility-Preserving GAN for Face Obscuration

14 citations · 25 across the 3 of their papers we have counts for

collaborators

6 papers

eess.IV2021

Turkey Behavior Identification System with a GUI Using Deep Learning and Video Analytics

Shengtai Ju, Sneha Mahapatra, Marisa A. Erasmus +2

In this paper, we propose a video analytics system to identify the behavior of turkeys. Turkey behavior provides evidence to assess turkey welfare, which can be negatively impacted…

cs.CV202011 cited

FaR-GAN for One-Shot Face Reenactment

Hanxiang Hao, Sriram Baireddy, Amy R. Reibman +1

Animating a static face image with target facial expressions and movements is important in the area of image editing and movie production. This face reenactment process is challeng…

eess.IV2020

A cow structural model for video analytics of cow health

He Liu, Amy R. Reibman, Jacquelyn P. Boerman

In livestock farming, animal health directly influences productivity. For dairy cows, many health conditions can be evaluated by trained observers based on visual appearance and mo…

cs.CV201914 cited

A Utility-Preserving GAN for Face Obscuration

Hanxiang Hao, David Güera, Amy R. Reibman +1

From TV news to Google StreetView, face obscuration has been used for privacy protection. Due to recent advances in the field of deep learning, obscuration methods such as Gaussian…

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.DC2018

Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud

Ahmed S. Kaseb, Bo Fu, Anup Mohan +3

Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of appli…