Scholar
Jacob Chalk
Google Scholar ID: FPugmicAAAAJ
PhD Researcher, University of Bristol
Computer Vision
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Citations & Impact
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Citations
117
H-index
4
i10-index
4
Publications
4
Co-authors
0
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Publications
4 items
Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach
2025
Cited
0
HD-EPIC: A Highly-Detailed Egocentric Video Dataset
2025
Cited
0
Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind
arXiv.org · 2024
Cited
4
Epic-Sounds: A Large-Scale Dataset of Actions that Sound
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2023
Cited
43
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)
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Co-authors: 0 (list not available)
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