Publications

2023

  1. CAST: Conditional Attribute Subsampling Toolkit for Fine-grained Evaluation
    Wes Robbins, Steven Zhou, Aman Bhatta, Chad Mello, Vitor Albiero, Kevin W. Bowyer, and Terrance E. Boult
    (to appear) Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Jan 2023

2022

  1. On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face Recognition
    Wes Robbins and Terrance E. Boult
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops Jun 2022
  2. Towards Multimodal Vision-language Models Generating Non-generic Text
    Wes Robbins
    AAAI Undergraduate Consortium Feb 2022

2021

  1. Towards Multimodal Vision-language Models Generating Non-generic Text
    Wes Robbins, Zanyar Zohourianshahzadi, and Jugal Kalita
    International Conference on Natural Language Processing Dec 2021

Tech Reports

  1. GPU Acceleration of B-Trees
    Wes Robbins and Rishi Borkar
  2. An Analysis of Shortest Path Algorithms
    Brendan Gibson, Connie Bernard, Tyler Trogden, and Wes Robbins
  3. Review of Independent Study on Adversarial Machine Learning
    Wes Robbins and Seth Bassetti
  4. Bayesian Networks & Probabilistic Inference
    Wes Robbins and Dave Miller
  5. A Study of Neural Radiance Fields
    Wes Robbins
  6. Search, Constraint, & Sudoku
    Wes Robbins and Dave Miller