Scholar
Tengda Han
Google Scholar ID: SbAuWREAAAAJ
Google DeepMind | VGG, University of Oxford
Citations & Impact
Citations
8,763
H-index
17
i10-index
17
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- - Publications: Multiple papers accepted at top conferences such as ACMMM, ICCV, CVPR, NeurIPS, etc.
- - Awards: Best Paper Award at ACCV, Best Poster Award at BMVC2023, BMVA Sullivan Doctoral Thesis Prize Runner-up
- - Organized Workshops: SLoMo, Self-Supervised Learning workshop, BigMAC, Self-Supervised Learning - Theory and Practice, etc.
Research Experience
- - Research Scientist at Google DeepMind (since March 2024)
- - Post-doctoral Research Fellow in VGG at the University of Oxford
- - Collaborated on deep learning projects with Basura Fernando, Anoop Cherian, Mehrtash Harandi, Stephen Gould, and Richard Hartley
- - Intern at DeepMind (August 2021 - December 2021), working on the Flamingo project
Education
- - PhD: University of Oxford, supervised by Andrew Zisserman
- - Bachelor's Degree: Australian National University, major in Mechanical & Material Engineering
- - Studied Business Administration and Law for one year at Renmin University of China
- - Originally from the suburbs of Hangzhou, China
Background
- - Research Interest: Training neural networks to understand videos
- - Professional Field: Computer Vision, Deep Learning
- - Brief Introduction: Currently a research scientist at Google DeepMind, previously a post-doctoral research fellow in VGG at the University of Oxford
Miscellany
- - Personal interests not mentioned
