Search Results for author: Jonathan Munro

Found 6 papers, 5 papers with code

Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval

no code implementations • 25 Oct 2021 • Jonathan Munro, Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen

Given a gallery of uncaptioned video sequences, this paper considers the task of retrieving videos based on their relevance to an unseen text query.

Retrieval Unsupervised Domain Adaptation +1

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Ego4D: Around the World in 3,000 Hours of Egocentric Video

6 code implementations • CVPR 2022 • 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, 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, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, 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, Jitendra Malik

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.

De-identification Ethics

5,006

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Rescaling Egocentric Vision

7 code implementations • 23 Jun 2020 • Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS.

Ranked #6 on Action Anticipation on EPIC-KITCHENS-100

Action Anticipation Action Detection +4

115

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The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

2 code implementations • 29 Apr 2020 • Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

Our dataset features 55 hours of video consisting of 11. 5M frames, which we densely labelled for a total of 39. 6K action segments and 454. 2K object bounding boxes.

Object

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Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

1 code implementation • CVPR 2020 • Jonathan Munro, Dima Damen

We then combine adversarial training with multi-modal self-supervision, showing that our approach outperforms other UDA methods by 3%.

Fine-grained Action Recognition Optical Flow Estimation +1

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Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

2 code implementations • ECCV 2018 • Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray

First-person vision is gaining interest as it offers a unique viewpoint on people's interaction with objects, their attention, and even intention.

Ranked #6 on Action Anticipation on EPIC-KITCHENS-55 (Unseen test set (S2)

Action Anticipation

147

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