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Video Synthesis From The Stylegan Latent Space, Lei Zhang 2020 San Jose State University

Video Synthesis From The Stylegan Latent Space, Lei Zhang

Master's Projects

Generative models have shown impressive results in generating synthetic images. However, video synthesis is still difficult to achieve, even for these generative models. The best videos that generative models can currently create are a few seconds long, distorted, and low resolution. For this project, I propose and implement a model to synthesize videos at 1024x1024x32 resolution that include human facial expressions by using static images generated from a Generative Adversarial Network trained on the human facial images. To the best of my knowledge, this is the first work that generates realistic videos that are larger than 256x256 resolution from single ...


Exploring Attacks And Defenses In Additive Manufacturing Processes: Implications In Cyber-Physical Security, Nicholas Deily 2020 Washington University in St. Louis

Exploring Attacks And Defenses In Additive Manufacturing Processes: Implications In Cyber-Physical Security, Nicholas Deily

Engineering and Applied Science Theses & Dissertations

Many industries are rapidly adopting additive manufacturing (AM) because of the added versatility this technology offers over traditional manufacturing techniques. But with AM, there comes a unique set of security challenges that must be addressed. In particular, the issue of part verification is critically important given the growing reliance of safety-critical systems on 3D printed parts.

In this thesis, the current state of part verification technologies will be examined in the con- text of AM-specific geometric-modification attacks, and an automated tool for 3D printed part verification will be presented. This work will cover: 1) the impacts of malicious attacks on ...


Exploring Usage Of Web Resources Through A Model Of Api Learning, Finn Voichick 2020 Washington University in St. Louis

Exploring Usage Of Web Resources Through A Model Of Api Learning, Finn Voichick

Engineering and Applied Science Theses & Dissertations

Application programming interfaces (APIs) are essential to modern software development, and new APIs are frequently being produced. Consequently, software developers must regularly learn new APIs, which they typically do on the job from online resources rather than in a formal educational context. The Kelleher–Ichinco COIL model, an acronym for “Collection and Organization of Information for Learning,” was recently developed to model the entire API learning process, drawing from information foraging theory, cognitive load theory, and external memory research. We ran an exploratory empirical user study in which participants performed a programming task using the React API with the goal ...


Voxel Optimization, Scott Bengs 2020 Minnesota State University Moorhead

Voxel Optimization, Scott Bengs

Student Academic Conference

Voxel Optimization This poster presentation covers optimization for voxels. They can be thought of as three dimensional pixels. Vo coming from volume and xel from pixel. Voxels are just values placed in a 3D grid. Voxels have many interesting uses in the medical and scientific field, especially in geology. One use in computer science is storing world information for video games or graphical applications. One very popular example is Minecraft, a game that allows all of the world to be changed, that uses cube shaped voxels. The first topic will be on the naive approach of building a model from ...


Server Score, Zachary Buresh 2020 Minnesota State University Moorhead

Server Score, Zachary Buresh

Student Academic Conference

This presentation is in regards to the Android mobile application that I developed in the Kotlin programming language named "Server Score". The app helps waiters/waitresses calculate, track, and predict performance related statistics on the job.


User Experience As A Rhetorical Medium: User At The Intersection Of Audience, Reader And Actor, Áine Doyle 2020 College of the Holy Cross

User Experience As A Rhetorical Medium: User At The Intersection Of Audience, Reader And Actor, Áine Doyle

English Honors Theses

The goal of this project is to demonstrate how digital interfaces are bodies of visual language that can be “close-read” and interpreted critically, just like any other traditional text; digital user interfaces, like poetry and novels, have form and content that complement and shape the meaning and interpretation of the other. It is meant to encourage academic discussions about digital interfaces to go beyond whether social media is “good” or “bad” to how digital interfaces are structured, why they are structured the way they are, and what effects these structures have on the way they communicate information and content to ...


Connecting The Dots For People With Autism: A Data-Driven Approach To Designing And Evaluating A Global Filter, Viseth Sean 2020 Chapman University

Connecting The Dots For People With Autism: A Data-Driven Approach To Designing And Evaluating A Global Filter, Viseth Sean

Computational and Data Sciences (PhD) Dissertations

"Social communication is the use of language in social contexts. It encompasses social interaction, social cognition, pragmatics, and language processing” [3]. One presumed prerequisite of social communication is visual attention–the focus of this work. “Visual attention is a process that directs a tiny fraction of the information arriving at primary visual cortex to high-level centers involved in visual working memory and pattern recognition” [7]. This process involves the integration of two streams: the global and local streams; the global stream rapidly processes the scene, and the local stream processes details. This integration is important to social communication in that ...


Tidytouch: An Interactive Visualization Tool For Data Science Education, Jonah E. DeVaney 2020 East Tennessee State University

Tidytouch: An Interactive Visualization Tool For Data Science Education, Jonah E. Devaney

Undergraduate Honors Theses

Accessibility and usability of software define the programs used for both professional and academic activities. While many proprietary tools are easy to grasp, some challenges exist in using more technical resources, such as the statistical programming language R. The creative project tidyTouch is a web application designed to help educate any user in basic R data visualization and transformation using the popular ggplot2 and dplyr packages. Providing point-and-click interactivity to explore potential modifications of graphics for data presentation, the application uses an intuitive interface to make R more accessible to those without programming experience. This project is in a state ...


Investigating Machine Learning Techniques For Gesture Recognition With Low-Cost Capacitive Sensing Arrays, Michael Fahr Jr. 2020 University of Arkansas, Fayetteville

Investigating Machine Learning Techniques For Gesture Recognition With Low-Cost Capacitive Sensing Arrays, Michael Fahr Jr.

Computer Science and Computer Engineering Undergraduate Honors Theses

Machine learning has proven to be an effective tool for forming models to make predictions based on sample data. Supervised learning, a subset of machine learning, can be used to map input data to output labels based on pre-existing paired data. Datasets for machine learning can be created from many different sources and vary in complexity, with popular datasets including the MNIST handwritten dataset and CIFAR10 image dataset. The focus of this thesis is to test and validate multiple machine learning models for accurately classifying gestures performed on a low-cost capacitive sensing array. Multiple neural networks are trained using gesture ...


Speech Processing In Computer Vision Applications, Nicholas Waterworth 2020 University of Arkansas, Fayetteville

Speech Processing In Computer Vision Applications, Nicholas Waterworth

Computer Science and Computer Engineering Undergraduate Honors Theses

Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing networks to create more feature dense representations of data. Our work attempts to address the problem of re-creating a face given a speaker's voice and speaker identification using deep learning methods. In this work, we first review the fundamental background in speech processing and its related applications. Then we introduce novel deep learning-based methods to speech feature analysis. Finally, we will present ...


A Distributed Model-View-Controller Design Pattern For A Graphical Remote Control Of A Multi-User Application, Dale E. Parson 2020 Kutztown University

A Distributed Model-View-Controller Design Pattern For A Graphical Remote Control Of A Multi-User Application, Dale E. Parson

Computer Science and Information Technology Faculty

The Model-View-Controller (MVC) is a design pattern for architecting the interactions among human users of graphical computing systems with the software Controller that manages user input, the Model that houses system state, and the View that projects the Model state into intelligible graphical form. The present work examines extending MVC into a Distributed Model-View-Controller pattern, starting with a stand-alone MVC system that is amenable to distribution over a local area network (LAN). Distribution takes the form of cloning a stand-alone MVC application into distinct client and server programs, and then altering each for its purpose while maintaining the initial graphical ...


Fern Or Fractal... Or Both?, Christina Babcock 2020 Concordia University St. Paul

Fern Or Fractal... Or Both?, Christina Babcock

Research and Scholarship Symposium Posters

Fractals are series of self similar sets and can be found in nature. After researching the Barnsley Fern and the iterated function systems using to create the fractal, I was able to apply what I learned to create a fractal shell. This was done using iterated function systems, matrices, random numbers, and Python coding.


The Effects Of Mixed-Initiative Visualization Systems On Exploratory Data Analysis, Adam Kern 2020 Washington University in St. Louis

The Effects Of Mixed-Initiative Visualization Systems On Exploratory Data Analysis, Adam Kern

Engineering and Applied Science Theses & Dissertations

The main purpose of information visualization is to act as a window between a user and data. Historically, this has been accomplished via a single-agent framework: the only decisionmaker in the relationship between visualization system and analyst is the analyst herself. Yet this framework arose not from first principles, but from necessity: prior to this decade, computers were limited in their decision-making capabilities, especially in the face of large, complex datasets and visualization systems. This thesis aims to present the design and evaluation of a mixed-initiative system that aids the user in handling large, complex datasets and dense visualization systems ...


Motion Segmentation - Segmentation Of Independently Moving Objects In Video, Pia Katalin Bideau 2020 University of Massachusetts Amherst

Motion Segmentation - Segmentation Of Independently Moving Objects In Video, Pia Katalin Bideau

Doctoral Dissertations

The ability to recognize motion is one of the most important functions of our visual system. Motion allows us both to recognize objects and to get a better understanding of the 3D world in which we are moving. Because of its importance, motion is used to answer a wide variety of fundamental questions in computer vision such as: (1) Which objects are moving independently in the world? (2) Which objects are close and which objects are far away? (3) How is the camera moving?
My work addresses the problem of moving object segmentation in unconstrained videos. I developed a probabilistic ...


Toward Efficient Automation Of Interpretable Machine Learning Boosting, Nathan Neuhaus 2020 Central Washington University

Toward Efficient Automation Of Interpretable Machine Learning Boosting, Nathan Neuhaus

All Master's Theses

Developing efficient automated methods for Interpretable Machine Learning (IML) is an important and long-term goal in the field of Artificial Intelligence. Currently the Machine Learning landscape is dominated by Neural Networks (NNs) and Support Vector Machines (SVMs), models which are often highly accurate. Despite high accuracy, such models are essentially “black boxes” and therefore are too risky for situations like healthcare where real lives are at stake. In such situations, so called “glass-box” models, such as Decision Trees (DTs), Bayesian Networks (BNs), and Logic Relational (LR) models are often preferred, however can succumb to accuracy limitations. Unfortunately, having to choose ...


Where Did The Time Go?, John C. Viaud, Bilal Abdulmajid, Vitali Surmach, Jia Yanxia 2020 Arcadia University

Where Did The Time Go?, John C. Viaud, Bilal Abdulmajid, Vitali Surmach, Jia Yanxia

Capstone Showcase

Study shows that most people spend a full quarter of their active hours on their mobile device which can take a serious toll on our productivity as well as our mental and physical well-being. We created an Android app that is able to track and visualize phone usage patterns to help user establish awareness of how much and in what ways they use their Android devices. Unlike currently existing phone time management apps, such as Apple’s ScreenTime and Google’s new Digital Wellbeing, our app provides functionalities to encourage off-phone time and personal goal management.


Virtual Reality Environment Recreation, Ryan Douglas 2020 The University of Akron

Virtual Reality Environment Recreation, Ryan Douglas

Williams Honors College, Honors Research Projects

This project will consist of a virtual reality based program that is capable of showing the user both the modern day state of a site of historic or archaeological significance, along with a recreation of what said site or area may have looked like in the past, primarily during the time that gave the site its historical significance. The virtual reality program itself is to be run on modern day Windows hardware and used with the VIVE virtual reality head-mounted display and controllers. Alongside the completed program, the creation of the environments themselves will be documented, resulting in an organized ...


Intelligent Cinematic Camera Control For Real-Time Graphics Applications, Ian Harris Meeder 2020 California Polytechnic State University, San Luis Obispo

Intelligent Cinematic Camera Control For Real-Time Graphics Applications, Ian Harris Meeder

Master's Theses and Project Reports

E-sports is currently estimated to be a billion dollar industry which is only growing in size from year to year. However the cinematography of spectated games leaves much to be desired. In most cases, the spectator either gets to control their own freely-moving camera or they get to see the view that a specific player sees. This thesis presents a system for the generation of cinematically-pleasing views for spectating real-time graphics applications. A custom real-time engine has been built to demonstrate the effect of this system on several different game modes with varying visual cinematic constraints, such as the rule ...


Android Game, Ryan Weston 2020 The University of Akron

Android Game, Ryan Weston

Williams Honors College, Honors Research Projects

The purpose of this project was to create an endless runner game for Android coded in Java and XML and developed in Android Studio. In the game, the player controls a frog that jumps from lily pad to lily pad to avoid logs moving toward the player. The player must also maneuver the lily pads as they can randomly disappear. There are three difficulties in the game that vary the disappearance rate of lily pads as well as the frequency and acceleration rate of the log obstacles. The game also has a scoring system and saves the high score locally ...


Security Camera Using Raspberry Pi, Tejendra Khatri 2020 Minnesota State University Moorhead

Security Camera Using Raspberry Pi, Tejendra Khatri

Student Academic Conference

Making a security camera using raspberry pi utilizing OpenCV for facial recognition, upper body recognition or full-body recognition


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