Davide Moltisanti
Scholar

Davide Moltisanti

Google Scholar ID: Ual305IAAAAJ
Lecturer (assistant professor) at the University of Bath
Computer VisionVideo Understanding
Citations & Impact
All-time
Citations
2,754
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
18
list available
Contact
Resume (English only)
Academic Achievements
  • - Area chair for CVPR 2026, WACV 2026, BMVC 2025, and more
  • - Released HD-EPIC, a new egocentric video dataset with highly detailed annotations
  • - Outstanding reviewer at ECCV 2022
  • - Best doctoral thesis award for the Faculty of Engineering 2019/2020
Research Experience
  • - Lecturer (assistant professor) at the University of Bath
  • - Prize Fellow at the University of Bath
  • - Post-doctoral researcher at the University of Edinburgh
  • - Post-doctoral researcher at Nanyang Technological University (Singapore)
Education
  • PhD: University of Bristol
Background
  • Area of research: computer vision, with a focus on video understanding. Recent work includes adverb recognition (understanding the manner actions are performed), localised instruction generation (segmenting procedural videos and describing steps with natural language), generalised zero-shot action recognition (testing models on unseen classes). Now focusing on interpretable models for explainable video understanding.
Miscellany
  • Personal interests and other information not provided