Wes Robbins


wrobbins [at] uccs [dot] edu

I am a master’s student at the University of Colorado, Colorado Springs, where I am advised by Dr. Terrance Boult and work in the Vision and Security Technology (VAST) lab. My research interests include computer vision, self-supervised learning, deep learning, and biometrics.

Previously, I have worked in the Language Information and Computation Lab at University of Colorado. I have a B.S. in computer science from Montana State University, where I was a member of the Computer Security & Privacy research group.


Sep, 2022 our work on learning robust features for low-quality images available here [manuscript]
Aug, 2022 our toolkit for face recognition evaluation accepted at WACV [paper]
Jun, 2022 attended CVPR in New Orleans and presented at the Workshop on Biometrics [poster][paper]
Feb, 2022 presented at AAAI UC [poster][extended abs][virtual venue]
Jan, 2022 began graduate research assitantship in VAST lab
Dec, 2021 received B.S. in Computer Science from Montana State University
Dec, 2021 presented at International Conference on Natural Language Processing [paper]
Dec, 2021 selected as member of AAAI Undergraduate Consortium cohort of 2022


  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
  2. 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
  3. Towards Multimodal Vision-language Models Generating Non-generic Text
    Wes Robbins
    AAAI Undergraduate Consortium Feb 2022
  4. Towards Multimodal Vision-language Models Generating Non-generic Text
    Wes Robbins, Zanyar Zohourianshahzadi, and Jugal Kalita
    International Conference on Natural Language Processing Dec 2021