Ariel Ephrat

Software Engineer, Perception Team, Google AI
Email: arielephrat_at_google.com
Google Scholar | Linkedin | Github

About Me: I am a Software Engineer on the Perception Team at Google AI.

I recently completed my PhD working with Prof. Shmuel Peleg as part of the HUJI Computer Vision Lab. My main research interests are applications of computer vision using deep learning, particularly in the area of sight and sound-based video analysis.

Publications

	Dynamic Temporal Alignment of Speech to Lips T. Halperin, A. Ephrat, S. Peleg [* equal contribution] ICASSP 2019 arXiv

	Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation A. Ephrat, I. Mosseri, O. Lang, T. Dekel, K. Wilson, A. Hassidim, W.T. Freeman, M. Rubinstein SIGGRAPH 2018 arXiv \| webpage \| video \| Google Research Blog

	Seeing Through Noise: Visually Driven Speaker Separation and Enhancement A. Gabbay, A. Ephrat, T. Halperin and S. Peleg IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 arXiv \| webpage \| video \| code

	Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies R. Vivanti, L. Joskowicz, N. Lev Cohain, A. Ephrat and J. Sosna Medical & Biological Engineering & Computing, March 2018 article

	Improved Speech Reconstruction from Silent Video A. Ephrat, T. Halperin and S. Peleg [* equal contribution] ICCV 2017 Workshop on Computer Vision for Audio-Visual Media arXiv \| webpage \| video \| code

	Vid2speech: Speech Reconstruction from Silent Video A. Ephrat and S. Peleg IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 pdf \| webpage \| code

	Compact CNN for Indexing Egocentric Videos Y. Poleg, A. Ephrat, C. Arora and S. Peleg IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 pdf \| webpage

	Automatic Liver Tumor Segmentation in Follow-Up CT Scans R. Vivanti, A. Ephrat, L. Joskowicz, O.A. Karaaslan, N. Lev Cohain and J. Sosna Proc. International Workshop on Patch-based Techniques in Medical Imaging, MICCAI, 2015 pdf

Teaching

HUJI — Teaching Assistant, Digital Image Processing, 2017-18
HUJI — Teaching Assistant, Undergraduate Engineering Projects and Workshop, 2015-18

Work

	Google Research — Software Engineering Intern, 2017 Google — Software Engineering Intern, 2016
	Here a Story — Co-founder and Web Developer, 2013–2014

	Dynamic Temporal Alignment of Speech to Lips T. Halperin, A. Ephrat, S. Peleg [* equal contribution] ICASSP 2019 arXiv

	Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation A. Ephrat, I. Mosseri, O. Lang, T. Dekel, K. Wilson, A. Hassidim, W.T. Freeman, M. Rubinstein SIGGRAPH 2018 arXiv \| webpage \| video \| Google Research Blog

	Seeing Through Noise: Visually Driven Speaker Separation and Enhancement A. Gabbay, A. Ephrat, T. Halperin and S. Peleg IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 arXiv \| webpage \| video \| code

	Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies R. Vivanti, L. Joskowicz, N. Lev Cohain, A. Ephrat and J. Sosna Medical & Biological Engineering & Computing, March 2018 article

	Improved Speech Reconstruction from Silent Video A. Ephrat, T. Halperin and S. Peleg [* equal contribution] ICCV 2017 Workshop on Computer Vision for Audio-Visual Media arXiv \| webpage \| video \| code

	Vid2speech: Speech Reconstruction from Silent Video A. Ephrat and S. Peleg IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 pdf \| webpage \| code

	Compact CNN for Indexing Egocentric Videos Y. Poleg, A. Ephrat, C. Arora and S. Peleg IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 pdf \| webpage

	Automatic Liver Tumor Segmentation in Follow-Up CT Scans R. Vivanti, A. Ephrat, L. Joskowicz, O.A. Karaaslan, N. Lev Cohain and J. Sosna Proc. International Workshop on Patch-based Techniques in Medical Imaging, MICCAI, 2015 pdf