Jacob Chalk
Scholar

Jacob Chalk

Google Scholar ID: FPugmicAAAAJ
PhD Researcher, University of Bristol
Computer Vision
Citations & Impact
All-time
Citations
117
 
H-index
4
 
i10-index
4
 
Publications
4
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • HD-EPIC dataset: accepted to CVPR 2025 and publicly released in February 2025
  • OSNOM paper: published on arXiv in November 2024, accepted to 3DV 2025; code and camera-ready paper released in January 2025
  • TIM paper: released in April 2024 and accepted to CVPR 2024
  • EPIC-Sounds dataset: publicly released in January 2023; paper accepted to ICASSP 2023; journal extended version on arXiv in September 2024
  • Served as co-first author (marked with *) on key publications including HD-EPIC, TIM, and EPIC-Sounds
Background
  • PhD researcher in Computer Vision at the University of Bristol, supervised by Prof. Dima Damen
  • Member of the MaVi research group
  • Research focuses on multi-modal video understanding, particularly egocentric video
  • Research interests include audio-visual deep learning, action recognition/detection, and 3D eye-gaze interaction priming
  • Currently a PhD intern with the Visual Representation Learning team at Naver Labs Europe
  • Technical strengths: deep learning, computer vision, audio-visual modeling; proficient in Python (PyTorch), with experience in C++ and JavaScript
  • PhD funded by the Engineering and Physical Sciences Research Council (EPSRC)
Co-authors
0 total
Co-authors: 0 (list not available)