Jonathan Munro

University of BristolĀ·

I am a 3rd year PhD student at University of Bristol supervised Dr Dima Damen. My interests include fine-grained video understanding and transfer learning with a focus on domain adaptation for action recognition.


Multi-Modal Domain Adaptation for Fine-grained Action Recogntition

Fine-grained action recognition datasets exhibit environmental bias, where multiple video sequences are captured from a limited number of environments. Training a model in one environment and deploying in another results in a drop in performance due to an unavoidable domain shift. Unsupervised Domain Adaptation (UDA) approaches have frequently utilised adversarial training between the source and target domains. However, these approaches have not explored the multi-modal nature of video within each domain. In this work we exploit the correspondence of modalities as a self-supervised alignment approach for UDA in addition to adversarial alignment. We test our approach on three kitchens from our large-scale dataset, EPIC-Kitchens, using two modalities commonly employed for action recognition: RGB and Optical Flow. We show that multi-modal self-supervision alone improves the performance over source-only training by 2.4 on average. We then combine adversarial training with multi-modal self-supervision, showing that our approach outperforms other UDA methods by 3%.


Multi-Modal Domain Adaptation for Fine-grained Action Recogntition

Computer Vision and Pattern Recognition(CVPR)

Jonathan Munro, Dima Damen


Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

European Conference on Computer Vision (ECCV)

Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray



Data Science Intern

Intent HQ

Summer 2017

Applications Engineering Intern


Summer 2015

Applications Engineering Intern


Summer 2014


University of Bristol

PhD Computer Science
August 2017 - Now

University of Bristol

MEng Computer Science and Electronics


2013 - 2017


Programming Languages & Tools


Awards & Certifications

  • EPSRC Scholarship 2017-2021