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Filtering by: Creator Sutton, Shan C. Remove constraint Creator: Sutton, Shan C. Committee Member Todorovic, Sinisa Remove constraint Committee Member: Todorovic, Sinisa

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  • Applied color processing

    Creator:
    Zhang, Heng
    Abstract:
    The quality of a digital image pipeline relies greatly on its color reproduction which should at a minimum handle the color constancy, and the final judgment of the excellence of the pipeline is made through subjective observations by humans. This dissertation addresses a few topics surrounding the color processing of...
    Resource Type:
    Dissertation
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    photography. In 1861, the first color photograph was made by James Clerk Maxwell and Thomas Sutton. The

  • Computational methods for protein-protein interface prediction

    Creator:
    Tribelhorn, Benjamin
    Abstract:
    Protein-protein interactions underlie all biological processes and are a field of study that has wide implications throughout many other fields including medicine, genetics, biology, and ecology. Proteins are the building blocks and primary actors of life. They work together to accomplish virtually every task within a cell, including, metabolism, signal...
    Resource Type:
    Dissertation
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    extraction and classification problem using algorithms from computer vision and machine learning. c

  • Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation

    Creator:
    Mahmoudabadi, Hamid
    Abstract:
    This research explores several novel approaches to improve visualization and segmentation of point clouds acquired with 3D laser scanning. 3D laser scanning is used in a wide variety of applications including surveying and mapping, transportation asset management, facilities management, building information modeling, crime scene investigations, cultural heritage and geologic instigations....
    Resource Type:
    Dissertation
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    intensity significantly improves the segmentation by the average MCC value of 0.87. c©Copyright by Hamid

  • Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks

    Creator:
    NoroozOliaee, MohammadJavad
    Abstract:
    The widespread use of wireless devices that we have recently been witnessing, such as smartphones, tablets, laptops, and wirelessly accessible devices in general, is causing an unprecedented growth in the required amount of the wireless radio spectrum. On the other hand, the spectrum resource has, for the last several decades,...
    Resource Type:
    Dissertation
    Full Text:
    appropriate guard band deployment methods when designing DSA schemes. c©Copyright by MohammadJavad

  • Developing a Methodology to Study the Effects of Adhesive Flow Penetration on Wood Adhesive Bond Performance by using Micro X-ray Computed Tomography (XCT) and Digital Volume Correlation (DVC)

    Creator:
    Ching, Daniel Jackson
    Abstract:
    Wood composites are an important renewable structural material which can be a net carbon sink when used in combination with sustainable forest management practices and high rates of log utilization. Adhesive bondlines are an essential part of composites, and for wood composites, they determine the moisture durability and mechanical performance...
    Resource Type:
    Dissertation
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    -longitudinal and tangential-radial planes. Correlation window size shown in lower left. (c) The maximum

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis
    Full Text:
    -of-the-arts by a significant margin on various evaluation metrics. c©Copyright by Xinyao Wang

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis
    Full Text:
    error region (c) Prediction after one click each is sampled in the remaining two error regions

  • Towards Annotation-Efficient Video Representation Learning

    Creator:
    Patravali, Jay Sanjay
    Abstract:
    Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
    Resource Type:
    Masters Thesis
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    Gen- eration hard episodes are mined from the two-stream networks’s feature space. (c) A3M module

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation
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    (c) show that in different local regions within a point cloud, the order and the relative positions

  • Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

    Creator:
    Khorram, Saeed
    Abstract:
    The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...
    Resource Type:
    Dissertation
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    guide me during my program: Weng-keen Wong, Alan Fern, Sinisa Todorovic, Minsuk Kahng, Xiao Fu, Shan