Recent Submissions

  • Evaluating Visual Conversational Agents via Cooperative Human-AI Games 

    Chattopadhyay, Prithvijit (Georgia Institute of Technology, 2019-04-26)
    As AI continues to advance, human-AI teams are inevitable. However, progress in AI is routinely measured in isolation, without a human in the loop. It is crucial to benchmark progress in AI, not just in isolation, but ...
  • Few-Shot Learning for Dermatological Disease Diagnosis 

    Prabhu, Viraj Uday (Georgia Institute of Technology, 2019-04-30)
    In this thesis, we consider the problem of clinical image classification for the purpose of aiding doctors in dermatological disease diagnosis. Diagnosis of dermatological disease conditions from images poses two major ...
  • Techniques to Improve Genome Assembly Quality 

    Nihalani, Rahul (Georgia Institute of Technology, 2019-03-28)
    De-novo genome assembly is an important problem in the field of genomics. Discovering and analysing genomes of different species has numerous applications. For humans, it can lead to early detection of disease traits and ...
  • Understanding The Motion of A Human State In Video Classification 

    Castro, Daniel Alejandro (Georgia Institute of Technology, 2019-03-29)
    For the last 50 years we have studied the correspondence between human motion and the action or goal they are attempting to accomplish. Humans themselves subconsciously learn subtle cues about other individuals that gives ...
  • Diagnosing Performance Bottlenecks in HPC Applications 

    Czechowski, Kenneth (Georgia Institute of Technology, 2019-03-29)
    The software performance optimizations process is one of the most challenging aspects of developing highly performant code because underlying performance limitations are hard to diagnose. In many cases, identifying performance ...
  • Long Read Mapping at Scale: Algorithms and Applications 

    Jain, Chirag (Georgia Institute of Technology, 2019-04-01)
    Capability to sequence DNA has been around for four decades now, providing ample time to explore its myriad applications and the concomitant development of bioinformatics methods to support them. Nevertheless, disruptive ...
  • Parallel and Scalable Combinatorial String Algorithms on Distributed Memory Systems 

    Flick, Patrick (Georgia Institute of Technology, 2019-03-29)
    Methods for processing and analyzing DNA and genomic data are built upon combinatorial graph and string algorithms. The advent of high-throughput DNA sequencing is enabling the generation of billions of reads per experiment. ...
  • Wearable Vibrotactile Stimulation: How Passive Stimulation Can Train and Rehabilitate 

    Seim, Caitlyn (Georgia Institute of Technology, 2019-03-27)
    Haptic feedback from wearable devices is primarily used for alerts and virtual reality; however, wearable computing provides unique advantages in haptic interaction. Wearable devices can now provide tactile stimulation ...
  • AUTOMATED SURFACE FINISH INSPECTION USING CONVOLUTIONAL NEURAL NETWORKS 

    Louhichi, Wafa (Georgia Institute of Technology, 2019-03-25)
    The surface finish of a machined part has an important effect on friction, wear, and aesthetics. The surface finish became a critical quality measure since 1980s mainly due to demands from automotive industry. Visual ...
  • Emulation and imitation via perceptual goal specifications 

    Edwards, Ashley Deloris (Georgia Institute of Technology, 2019-04-02)
    This dissertation aims to demonstrate how perceptual goal specifications may be used as alternative representations for specifying domain-specific reward functions for reinforcement learning. The works outlined in this ...
  • SYSTEM DESIGN OF AN ACTIVITY TRACKER TO ENCOURAGE BEHAVIORAL CHANGE AMONG THOSE AT RISK OF PRESSURE ULCERS 

    Obrien, John James (Georgia Institute of Technology, 2019-04-24)
    The Wheelchair In-Seat Activity Tracker (WiSAT) is a sensor-based activity tracker aimed at encouraging in-seat movement among wheelchair users who are at risk of pressure ulcers. Pressure ulcers tend to form in the ...
  • Leveraging Mid-level Representations for Complex Activity Recognition 

    Ahsan, Unaiza (Georgia Institute of Technology, 2019-01-16)
    Dynamic scene understanding requires learning representations of the components of the scene including objects, environments, actions and events. Complex activity recognition from images and videos requires annotating large ...
  • Image Retrieval and Geolocalization with Deep Learning 

    Vo, Nam Ngoc (Georgia Institute of Technology, 2019-01-09)
    This work studies image localization task and explores image ranking/retrieval approach. Deep Learning has advanced many computer vision task including image retrieval; in addition, location tagged image data has become ...
  • Privacy-Aware Big Data Systems and Services in the Internet of Things Era 

    Yigitoglu, Emre (Georgia Institute of Technology, 2018-04-16)
    The Internet of Things (IoT) has been considered the next industrial revolution. Connecting physical objects to the Internet and equipping massive sensor generated data with the powerful data analytics capabilities, the ...
  • Novel gestures for wearables 

    Zhang, Cheng (Georgia Institute of Technology, 2018-04-09)
    Wearable computing is an inevitable part of the next generation of computing [abowd2016beyon]. Compared with traditional computers (e.g., laptop, smartphones), wearable devices are much smaller, creating new challenges for ...
  • Urban 3D Scene Understanding from Images 

    Kundu, Abhijit (Georgia Institute of Technology, 2018-01-22)
    Human vision is marvelous in obtaining a structured representation of complex dynamic scenes, such as spatial scene-layout, re-organization of the scene into its constituent objects, support of each object, etc. We also ...
  • Robust approaches and optimization for 3D data 

    Sawhney, Rahul (Georgia Institute of Technology, 2018-04-06)
    We introduce a robust, purely geometric, representation framework for fundamental association and analysis problems involving multiple views and scenes. The framework utilizes surface patches / segments as the underlying ...
  • Balancing Generality and Specialization for Machine Learning in the Post-ISA Era 

    Mahajan, Divya (Georgia Institute of Technology, 2019-03-29)
    A growing number of commercial and enterprise systems are increasingly relying on compute-intensive machine learning algorithms. While the demand for these apaplications is growing, the performance benefits from general-purpose ...
  • Brownian dynamics studies of DNA internal motions 

    Ma, Benson Jer-Tsung (Georgia Institute of Technology, 2018-12-04)
    Earlier studies by Chow and Skolnick suggest that the internal motions of bacterial DNA may be governed by strong forces arising from being crowded into the small space of the nucleoid, and that these internal motions ...
  • Incremental design revision in biologically inspired design 

    Wiltgen, Bryan Joseph (Georgia Institute of Technology, 2018-11-09)
    Design is the process by which solutions get developed to solve social challenges, and its products can be seen across our world from toothbrushes to computers to spaceships. Conceptual design is an early phase of design ...

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