Jason J. Yu
Scholar

Jason J. Yu

Google Scholar ID: RaKQsQoAAAAJ
York University
Computer VisionMachine LearningDeep Learning
Citations & Impact
All-time
Citations
478
 
H-index
4
 
i10-index
3
 
Publications
6
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • - Paper 'PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis' accepted to ECCV 2024
  • - Paper 'Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models' accepted to ICCV 2023
  • - Paper 'Wavelet Flow: Fast Training of High Resolution Normalizing Flows' accepted to NeurIPS 2020
  • - Awarded NSERC CGS-D Scholarship (October 31, 2022)
  • - Accepted to Vector Institute Postgraduate Affiliate Program (March 31, 2021)
  • - Successfully defended Master's thesis (August 6, 2020)
  • - Awarded VISTA Doctoral scholarship (April 29, 2020)
  • - Awarded Ontario Graduate Scholarship (OGS) (April 1, 2018)
  • - Awarded VISTA Masters scholarship (May 2, 2018)
Research Experience
  • - Doctoral student at York University
  • - Intern at Borealis AI (November 12, 2019 - March 11, 2020)
  • - Participated in the MITACS Accelerate program in partnership with Borealis AI
Education
  • Pursuing a PhD in Computer Science at York University, supervised by Dr. Marcus Brubaker and Dr. Kosta Derpanis.
Background
  • A Doctoral student at York University, interested in computer vision and machine learning, particularly generative modeling, view synthesis, and scene understanding.