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Dr. Francois Pitie

Ussher Assistant Professor (Electronic & Elect. Engineering)
ARAS AN PHIARSAIGH
      
Profile Photo

Dr. Francois Pitie

Ussher Assistant Professor (Electronic & Elect. Engineering)
ARAS AN PHIARSAIGH


François Pitié is an Assistant Professor in Media Processing in the School of Engineering and an elected Fellow of the College (FTCD). His work sits at the intersection of signal processing, computer vision, and machine learning, with a focus on practical algorithms for visual media production, visual effects, and video streaming. He has published over 90 peer-reviewed academic publications, holds multiple licensed patents, and has developed technologies used by companies including Google, Disney, The Foundry, and Weta Digital. His research is centred on developing cutting-edge signal processing and artificial intelligence solutions for the creative industries, with a significant impact on visual media post-production. Extending this global impact, his lab's partnership with YouTube and Netflix within the Alliance for Open Media (AOMedia) is advancing efficient video streaming technologies. In 2026, François received Trinity's University Excellence in Teaching Award and the Inspired Educator Award for his hands-on, mastery-based curriculum design in artificial intelligence and robotics.
  Artificial Intelligence   Computer Vision and Image Processing   Signal Processing   Signal, Video & Audio Processing   VIDEO PROCESSING
Project Title
 Advanced Video Debanding
From
2013
To
2013
Summary
Improving the quality of online videos is a key challenge for video streaming companies. We considered in this project the issue of banding, which is a quantisation artefact that affects most videos and does not go away by simply increasing the allowed bandwidth. We built on our experience in developing tools for the movie-postproduction industry to produce a solution that targets the whole range of videos, from low-bandwidth to high quality movies.
Funding Agency
Google
Programme
Google Research Award
Person Months
12
Project Title
 3DScam
From
2011
To
2013
Summary
Producing stereoscopic 3D content for TV's and cinema turns out to be be a very expensive task. In the case of animated movies, a 3D stereo version can in theory be simply created by rendering the 3D object data from the two views for left and right eye. This however consumes a huge amount of rendering time, has a massive impact on the traditional production pipeline and thus result in an dramatically increased production cost. It was proposed in 3DSCAM to create a technology suite that allows digital artists to have full artistic control over the creation of a stereoscopic scene in its final version, while not requiring any change to the production pipeline. Technology issued from this project has been licensed to PixelPuffin (www.pixelpuffin.com).
Funding Agency
Enterprise Ireland
Programme
Commercialisation Fund
Person Months
24

Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
French Fluent Fluent Fluent
Zouein, Julien and Vibhoothi and Pitié, François and Kokaram, Anil, Efficient Dense Matching for Enhanced Gaussian Splatting Using AV1 Motion Vectors, IEEE International Conference on Image Processing (ICIP), 2026, edited by IEEE , IEEE, 2026, pp1 - 6, Notes: [Accepted for publication (in press)], Conference Paper, PUBLISHED  DOI
Zouein, Julien and Javidnia, Hossein and Pitié, François and Kokaram, Anil, Leveraging AV1 Motion Vectors for Fast and Dense Feature Matching, 2025 IEEE 4th International Conference on Intelligent Reality (ICIR), IEEE International Conference on Intelligent Reality (ICIR), IEEE, 2025, pp1 - 4, Conference Paper, PUBLISHED  DOI
Ganbaatar, Bat-Erdene and Pitié, François, Towards Consistent Automatic Colour Grading: A Scene-Aware Neural Network for Illuminant Estimation, CVMP '25: Proceedings of the 22nd ACM SIGGRAPH European Conference on Visual Media Production, London, United Kingdom, 3-4 December 2025, edited by Hansung Kim, Claudio Guarnera, Peter Eisert, Peter Vangorp, Changjae Oh , 2025, Conference Paper, PRESENTED
Bled, Clément and Pitié, François, Multi Task Denoiser Training for Solving Linear Inverse Problems, Proceedings of the 22nd ACM SIGGRAPH European Conference on Visual Media Production, ACM SIGGRAPH European Conference on Visual Media Production (CVMP), London, Dec 2025, edited by ACM SIGGRAPH , 2025, Conference Paper, PUBLISHED  DOI
Vibhoothi and Pitié, François and Kokaram, Anil, LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications, 2025 IEEE Picture Coding Symposium (PCS), 2025 IEEE Picture Coding Symposium, edited by IEEE , IEEE, 2025, pp1 - 5, Conference Paper, PUBLISHED  DOI
Bled, Clément and Pitié, François, Creating A Lightweight, Powerful Image Denoiser with a Classic Backbone, Inaugural School of Engineering Research Symposium (SERS), Inaugural School of Engineering Research Symposium (SERS), 2024, Conference Paper, PUBLISHED
Vibhoothi and Zouein, Julien and Pitié, François and Kokaram, Anil, Unravelling the Power of Single-Pass Look-Ahead in Modern Codecs for Optimized Transcoding Deployment, 2024 NAB BEIT Conference, NAB Broadcast Engineering and Information Technology (BEIT) Conference, National Association of Broadcaster, 2024, Conference Paper, PUBLISHED  DOI
Bled, Clément and Pitié, François, Lightweight Video Denoising Using a Classic Bayesian Backbone, 2024 IEEE International Conference on Multimedia and Expo (ICME), 2024 IEEE International Conference on Multimedia and Expo (ICME), IEEE, 2024, pp1 - 6, Conference Paper, PUBLISHED  DOI
Vibhoothi, Vibhoothi and Zouein, Julien and Pitie, Francois and Kokaram, Anil, Using Single-Pass Look-Ahead in Modern Codecs for Optimized Transcoding Deployment, Motion Imaging Journal, 133, 2024, pp40-49 , Conference Paper, PUBLISHED  DOI
Ringis, Daniel J. and Pitié, François and Kokaram, Anil, Demystifying the use of Compression in Virtual Production, SMPTE Media Technology Summit 2024, 2024, Journal Article, PUBLISHED
  

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Forte, Marco and Pitié, François, F, B, Alpha Matting, arXiv preprint arXiv:2003.07711, 2020, Journal Article, PUBLISHED
Wu, Hao and Jones, Gareth J. F. and Pitié, François, Response to livebot: Generating live video comments based on visual and textual contexts, arXiv preprint arXiv:2006.03022, 2020, Journal Article, PUBLISHED
Wilson F, Back Pain in Rowing, Faculty of Sports and Exercise Medicine Annual Spring Meeting, University College Dublin, April, 2017, Faculty of Sports and Exercise Medicine, Invited Talk, PUBLISHED
Steve Woods, John Scott, Philip Connaughton, Michelle Boulé, François Pitié, Matt Porter , 'iDuet', 2015, -, Film production, PUBLISHED
PixelPuffin, 'DepthArtist', 2012, -, Software, PUBLISHED
Sophie Merry, Francois Pitie, Anil Kokaram, Trevor Whelan, Chris Timms, 'Clockhead', 2011, -, Film production, PUBLISHED
The Foundry, 'Deflicker2, part of the Academy Award winning software suite Furnace', 2008, -, Software, PUBLISHED
The Foundry, 'MatchGrade, part of the Academy Award winning software suite Furnace', 2007, -, Software, PUBLISHED
GreenParrotPictures, 'FilmFix', 2004, -, Software, PUBLISHED

  


Award Date
University Excellence in Teaching Award (TCD) 2026
Inspired Educator Award (TCD) 2026
Elected Fellow of Trinity College Dublin (FTCD) 2026
Nominated for the Industry Engagement category at the 2020 Trinity Innovation Awards 2020
ADAPT Industry Impact Award 2019
'Outstanding Academic Achievement of the Year' award at the Technology Ireland Industry Awards 2018 2018
Best Paper Award Runner Up at the IEEE International Conference on Multimedia and Expo 2020