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Selfie-Presentation in Everyday Life: A Large-scale Characterization of Selfie Contexts on Instagram
(Georgia Institute of Technology, 2017)
Carefully managing the presentation of self via technology is a core practice on all modern social media platforms. Recently, selfies have emerged as a new, pervasive genre of identity performance. In many ways unique, ...
What Are the Ants Doing? Vision-Based Tracking and Reconstruction of Control Programs
(Georgia Institute of Technology, 2005-04)
In this paper, we study the problem of going
from a real-world, multi-agent system to the generation of
control programs in an automatic fashion. In particular,
a computer vision system is presented, capable of ...
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 ...
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 ...
A computational framework for unsupervised analysis of everyday human activities
(Georgia Institute of Technology, 2008-07-07)
In order to make computers proactive and assistive, we must enable them to perceive, learn, and predict what is happening in their surroundings. This presents us with the challenge of formalizing computational models of ...
EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence
(Georgia Institute of Technology, 2003)
Learning spatial models from sensor data raises the challenging data association
problem of relating model parameters to individual measurements. This paper proposes an
EM-based algorithm, which solves the model learning ...
A Visualization Framework for Team Sports Captured using Multiple Static Cameras
(Georgia Institute of Technology, 2013)
We present a novel approach for robust localization of multiple people observed using a set of static cameras. We use this
location information to generate a visualization of the virtual offside line in soccer games. To ...
Modeling structured activity to support human-robot collaboration in the presence of task and sensor uncertainty
(Georgia Institute of Technology, 2013-11)
A representation for structured activities is developed that allows a robot to probabilistically infer which task actions a human is currently performing and to predict which future actions will be executed and when they ...
Anticipating Human Actions for Collaboration in the Presence of Task and Sensor Uncertainty
(Georgia Institute of Technology, 2014-06)
A representation for structured activities is developed that allows a robot to probabilistically infer which task actions a human is currently performing and to predict which future actions will be executed and when they ...
Understanding Children's Gaze Behaviors
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 ...