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Deep Segments: Comparisons between Scenes and their Constituent Fragments using Deep Learning
(Georgia Institute of Technology, 2014-09)
We examine the problem of visual scene understanding and abstraction from first person video. This is an important problem and successful approaches would enable complex scene characterization tasks that go beyond ...
Android App to Stimulate and Measure Children Development During Their First Stage of Life
(Georgia Institute of Technology, 2019-05)
This paper explains the research and development of a mobile application that helps parents to stimulate their infants and measure the response of such stimulation. The tool considers 4 different sensorimotor substages, ...
Creating a Pose-Estimation System for Use in Studying Motor Cortical Dynamics
(Georgia Institute of Technology, 2020-05)
Currently, researchers attempt to better understand motor control by using stereotyped tasks in rodents. Using this method, researchers can correlate rat movements with activity occurring in the motor cortex. Our lab, ...
Understanding Children's Gaze Behaviors
(Georgia Institute of Technology, 2018-05)
Identifying early signs of autism has been a challenging problem in the medical field. Many research studies aim to detect behavioral patterns of children with autism in the first three years of life. Early detection of ...
Detecting Mosquitoes with Convolutional Neural Networks
(Georgia Institute of Technology, 2017-08)
Mosquitoes are directly responsible for the death of more than a million people each year. Yet the ability to mitigate their deadly impact or even monitor them in the wild to better understand their behavior remains ...
Point of Confusion Estimation Using Facial Features and Gaze Tracking
(Georgia Institute of Technology, 2020-07-30)
Confusion is an important part of the learning process, but prolonged periods of confusion can have a detrimental effect. Online education environments lack the benefit of face-to-face interaction and instantaneous detection ...
Computational video: post-processing methods for stabilization, retargeting and segmentation
(Georgia Institute of Technology, 2013-04-05)
In this thesis, we address a variety of challenges for analysis and enhancement of Computational Video. We present novel post-processing methods to bridge the difference between professional and casually shot videos mostly ...
An image-based approach for 3D reconstruction of urban scenes using architectural symmetries
(Georgia Institute of Technology, 2018-07-23)
In this dissertation, I focus on an important, generalizable and freely available sub-category of semantic information in addressing modern reconstruction challenges: the notion of symmetry. The emphasis in the 3D modeling ...
Target Container: A Target-Centric Parallel Programming Abstraction for Video-based Surveillance
(Georgia Institute of Technology, 2010)
Surveillance systems are some of the most computationally
intensive applications. Despite technological advances, lowcost
of sensors, and continuous improvement of computer
vision algorithms for analyzing video data, ...
Learning descriptive models of objects and activities from egocentric video
(Georgia Institute of Technology, 2013-06-13)
Recent advances in camera technology have made it possible to build a comfortable, wearable system which can capture the scene in front of the user throughout the day. Products based on this technology, such as GoPro and ...