Skip to main content

7 Result(s)

within Emily M. Hand Remove this filter

and

  1. No Access

    Article

    Systematic Analysis of Individuals’ Perspectives on Cybersecurity Using Q Methodology: Implications for Research and Application in Behavior Analysis

    Emerging sociocultural challenges such as malicious cybersecurity attacks and the cyber-unsafe utilization of the internet across industries highlight ways analysis of consumer perspectives pertaining to produ...

    Rita Olla, Ramona A. Houmanfar, Shamik Sengupta… in Behavior and Social Issues (2024)

  2. No Access

    Chapter and Conference Paper

    DoppelVer: A Benchmark for Face Verification

    The field of automated face verification has become saturated in recent years, with state-of-the-art methods outperforming humans on all benchmarks. Many researchers would say that face verification is close t...

    Nathan Thom, Andrew DeBolt, Lyssie Brown, Emily M. Hand in Advances in Visual Computing (2023)

  3. No Access

    Chapter and Conference Paper

    A Quantitative Analysis of Labeling Issues in the CelebA Dataset

    Facial attribute prediction is a facial analysis task that describes images using natural language features. While many works have attempted to optimize prediction accuracy on CelebA, the largest and most wide...

    Bryson Lingenfelter, Sara R. Davis, Emily M. Hand in Advances in Visual Computing (2022)

  4. No Access

    Reference Work Entry In depth

    Facial Attribute Recognition: A Survey

    Nathan Thom, Emily M. Hand in Computer Vision (2021)

  5. No Access

    Chapter and Conference Paper

    SAT-CNN: A Small Neural Network for Object Recognition from Satellite Imagery

    Satellite imagery presents a number of challenges for object detection such as significant variation in object size (from small cars to airports) and low object resolution. In this work we focus on recognizing...

    Dustin K. Barnes, Sara R. Davis, Emily M. Hand in Advances in Visual Computing (2020)

  6. No Access

    Chapter and Conference Paper

    Homework Helper: Providing Valuable Feedback on Math Mistakes

    Many parents feel uncomfortable hel** their children with homework, with only 66% of parents consistently checking their child’s homework [22]. Because of this, many turn to math games and problem solvers as t...

    Sara R. Davis, Carli DeCapito, Eugene Nelson, Karun Sharma… in Advances in Visual Computing (2020)

  7. No Access

    Living Reference Work Entry In depth

    Facial Attribute Recognition: A Survey

    Nathan Thom, Emily M. Hand in Computer Vision