Vinit Katariya
Scholar

Vinit Katariya

Google Scholar ID: jMPHBZMAAAAJ
University of Wyoming
Anomaly detectionTrajectory PredictionSpeed Estimation
Citations & Impact
All-time
Citations
207
 
H-index
7
 
i10-index
7
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published a paper titled 'Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps' at the IEEE International Conference on Machine Learning and Applications (ICMLA) 2025; presented 'MoCLIP Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation' at the Computer Vision and Pattern Recognition Conference 2025, among other academic works.
Research Experience
  • Research projects include: Pedestrian Safety (studying the impact of soft infrastructure changes on pedestrian safety through computer vision analysis), Highway Workzone Safety (edge AI pipeline for real-time trajectory tracking and anomaly prediction), and Rural Roundabouts (AI-enabled analytics guiding new rural roundabout designs with speed behavior insights and occupancy tracking).
Background
  • Assistant Professor at the University of Wyoming, dedicated to advancing intelligent vision systems for safer, smarter infrastructure. His work focuses on computer vision, deep learning, and cyber-physical systems, aimed at improving transportation safety and societal well-being.
Miscellany
  • Offers research opportunities for passionate, talented, and self-motivated researchers at both the MS and PhD levels.
Co-authors
0 total
Co-authors: 0 (list not available)