Wes J Robbins
Scholar

Wes J Robbins

Google Scholar ID: W3qTPSsAAAAJ
University of Texas at Austin
Deep LearningComputer Vision
Citations & Impact
All-time
Citations
48
 
H-index
3
 
i10-index
2
 
Publications
6
 
Co-authors
8
list available
Publications
6 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications:
  • - DaliID: Distortion-Adaptive Learned Invariance for Identification Models (2023)
  • - CAST: Conditional Attribute Subsampling Toolkit for Fine-Grained Evaluation (2023)
  • - On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face Recognition (2022)
  • - Towards Multimodal Vision-language Models Generating Non-generic Text (2022, AAAI Undergraduate Consortium)
  • - Towards Multimodal Vision-language Models Generating Non-generic Text (2021, International Conference on Natural Language Processing)
Research Experience
  • Working in the VITA Group, supervised by Prof. Atlas Wang.
Education
  • Received an M.S. from the University of Colorado, Colorado Springs, under the supervision of Prof. Terrance Boult in the Vision and Security Technology Lab, focusing on biometrics, computer vision, and deep learning, and received an outstanding graduate student award.
Background
  • Currently a first-year Ph.D. student in Electrical and Computer Engineering at the University of Texas at Austin. Broad research interests include deep learning and computer vision.