Michael Wray

Assistant Professor of Computer Vision

I am a lecturer/Assistant Professor of Computer Vision at the Department of Computer Science at the University of Bristol. My research interests are in multi-modal video understanding, particularly for egocentric videos — focusing on how both vision and language can be tied together towards tasks such as cross-modal retrieval, grounding and captioning. I am part of MaVi and ViLab.

Email: michael (dot) wray (at) bristol (dot) ac (dot) uk

News

January 2023 - EPIC-Kitchens 2023 Challenges Open! - The challenges for the 2023 versions of the EPIC-Kitchens Challenges are now open. Find out more here.
January 2023 - Organiser of Ego4D & EPIC workshop at CVPR2023 - I am an organiser for the 3rd Ego4D and 11th EPIC Workshop at CVPR2023.
November 2022 - Area Chair at CVPR 2023 - Honoured to serve as an area chair for CVPR 2023.
October 2022 - Outstanding Reviewer at ECCV2022
October 2022 - Paper Accepted at ACCV 2022 - Our paper titled "ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval" was accepted at ACCV 2022 as an Oral. See more here.
September 2022 - Paper Accepted at NeurIPS 2022 - Our paper titled "Egocentric Video-Language Pretraining" was accepted at NeurIPS 2022. See more here.
September 2022 - Talk at Video Understanding Symposium - I presented a talk about Ego4D and verbs in video understanding during the second Video Understanding Symposium at the University of Amsterdam.
August 2022 - Call for Extended Abstracts Ego4D@ECCV2022 - You can submit extended abstracts of ongoing/published work at the 2nd Int'l Ego4D workshop at ECCV2022. Full details here.

For a full list of News, click here.

Research

Short list of Research projects, click here for a full list.

ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval
Adriano Fragomeni, Michael Wray, Dima Damen,
ACCV (Oral), 2022
[Webpage] [arXiv] [Code]

Egocentric Video-Language Pretraining
Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rongcheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou
NeurIPS, 2022
[Webpage] [arXiv] [Code]

Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, and Jitendra Malik
IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2022
[Webpage] [arXiv] [Dataset]

Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval
Jonathan Munro, Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
ArXiv, 2021
[arXiv]

Rescaling Egocentric Vision
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Jian Ma, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray
Springer International Journal of Computer Vision (IJCV), 2021
[Webpage] [Dataset]

On Semantic Similarity in Video Retrieval
Michael Wray, Hazel Doughty, and Dima Damen
IEEE Conference on Computer Vision and Pattern Recognition, 2021.
[Webpage] [arXiv] [Code] [pdf]

For a full list of Research projects, click here.

Short Bio

Michael is a lecturer in Computer Vision at the Computer Science Department at the University of Bristol. He finished his PhD titled "Verbs and Me: an Investigation into Verbs as Labels for Action Recognition in Video Understanding" in 2019 under the supervision of Professor Dima Damen. After, he stayed in the same lab as a Post-Doc working on Vision and Language and the collection of the Ego4D Dataset. Michael has led the organisation EPIC workshop series from 2021 onwards, is an organiser of the Ego4D workshop series, and is an ELLIS member.

Teaching

Applied Deep Learning 2022/2023. Webpage.
Computer Systems A 2022/2023. Webpage.

People

Current

Adriano Fragomeni: PhD, 2020–Current (w/ Dima Damen)
Kevin Flanagan: PhD, 2021–Current (w/ Dima Damen)
Shijia Feng: PhD, 2022–Current (w/ Walterio Mayol Cuevas)
Sam Pollard: MEng, 2023–Current
Lee Tancock: MEng, 2023–Current
Zac Woodford: MEng, 2023–Current

Benjamin Gutierrez Serafin: MSc, 2020
Pei Huang: MSc, 2016

Misc.

Workshop Organiser

EPIC@: ICCV2021, CVPR2021, ECCV2020
Joint Ego4D+EPIC@: CVPR2022
Ego4D@: ECCV2022

Area Chair

CVPR2023

Outstanding Reviewer

ECCV2022
ICCV2021
CVPR2021
BMVC2020

Reviewing Duties

Conferences

CVPR: 2022, 2021, 2020, 2019
ICCV: 2023, 2021
ECCV: 2022
ACCV: 2022, 2020
BMVC: 2022, 2021, 2020, 2019
WACV: 2023, 2022, 2021

Journals

TPAMI
IJCV
TCSVT
Pattern Recognition

	ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval Adriano Fragomeni, Michael Wray, Dima Damen, ACCV (Oral), 2022 [Webpage] [arXiv] [Code]
	Egocentric Video-Language Pretraining Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rongcheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou NeurIPS, 2022 [Webpage] [arXiv] [Code]
	Ego4D: Around the World in 3,000 Hours of Egocentric Video Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, and Jitendra Malik IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2022 [Webpage] [arXiv] [Dataset]
	Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval Jonathan Munro, Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen ArXiv, 2021 [arXiv]
	Rescaling Egocentric Vision Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Jian Ma, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray Springer International Journal of Computer Vision (IJCV), 2021 [Webpage] [Dataset]
	On Semantic Similarity in Video Retrieval Michael Wray, Hazel Doughty, and Dima Damen IEEE Conference on Computer Vision and Pattern Recognition, 2021. [Webpage] [arXiv] [Code] [pdf]