Tyler L. Hayes
Scholar

Tyler L. Hayes

Google Scholar ID: LZ1PWfcAAAAJ
Georgia Tech
Artificial IntelligenceMachine LearningComputer VisionLifelong Machine Learning
Citations & Impact
All-time
Citations
2,897
 
H-index
16
 
i10-index
17
 
Publications
20
 
Co-authors
29
list available
Resume (English only)
Academic Achievements
  • - Paper accepted: 'Quantifying the Role of OpenFold Components in Protein Structure Prediction' at NeurIPS 2025 Workshop
  • - Paper accepted: 'Test-time Vocabulary Adaptation for Language-driven Object Detection' at IEEE International Conference on Image Processing (ICIP) 2025
  • - Paper accepted: 'What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision' at ECCV 2024 Workshop
  • - Paper accepted: 'PANDAS: Prototype-based Novel Class Discovery and Detection' at CoLLAs 2024
  • - Paper accepted: 'Continual Learning: Applications and the Road Forward' at Transactions on Machine Learning Research (TMLR)
  • - Paper accepted: 'SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection' at CVPR 2024
  • - Paper accepted: 'SIESTA: Efficient Online Continual Learning with Sleep' at Transactions on Machine Learning Research (TMLR)
Research Experience
  • - Research Scientist, NAVER LABS Europe, French Alps
  • - Research Faculty Member and Research Scientist II, Georgia Tech, ARTISAN Center
  • - Board Member, ContinualAI non-profit organization
Education
  • - PhD: Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology (RIT), Advisor: Dr. Christopher Kanan
  • - MS: Applied and Computational Mathematics, RIT
  • - BS: Applied Mathematics, RIT
Background
  • - Research Interests: AI for Science
  • - Professional Field: Computer Vision, Continual Learning
  • - Introduction: Currently a Research Faculty Member and Research Scientist II at Georgia Tech, previously worked at NAVER LABS Europe focusing on novel class discovery and open-vocabulary object detection.
Miscellany
  • - Erdős number: 3