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RareAct: A video dataset of unusual interactions

Aug 03, 2020
Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman


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Self-Supervised MultiModal Versatile Networks

Jun 29, 2020
Jean-Baptiste Alayrac, Adri√† Recasens, Rosalia Schneider, Relja Arandjelovińá, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman


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Learning to Segment Actions from Observation and Narration

May 07, 2020
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh

* ACL 2020 

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Visual Grounding in Video for Unsupervised Word Translation

Mar 26, 2020
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, Jo√£o Carreira, Phil Blunsom, Andrew Zisserman

* CVPR 2020 
* CVPR 2020 

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End-to-End Learning of Visual Representations from Uncurated Instructional Videos

Jan 17, 2020
Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman


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Controllable Attention for Structured Layered Video Decomposition

Oct 24, 2019
Jean-Baptiste Alayrac, Jo√£o Carreira, Relja Arandjelovińá, Andrew Zisserman

* In ICCV 2019 

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HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

Jul 31, 2019
Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic

* Accepted at ICCV 2019 

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Cross-task weakly supervised learning from instructional videos

Mar 19, 2019
Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic

* 10 pages, 7 figures, to be published in proceedings of the CVPR, 2019 

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The Visual Centrifuge: Model-Free Layered Video Representations

Dec 04, 2018
Jean-Baptiste Alayrac, Jo√£o Carreira, Andrew Zisserman


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Learning to Localize and Align Fine-Grained Actions to Sparse Instructions

Sep 22, 2018
Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg


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A flexible model for training action localization with varying levels of supervision

Jun 29, 2018
Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid


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SEARNN: Training RNNs with Global-Local Losses

Mar 04, 2018
Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien

* Published as a conference paper at ICLR 2018, 16 pages 

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Joint Discovery of Object States and Manipulation Actions

Aug 28, 2017
Jean-Baptiste Alayrac, Josev Sivic, Ivan Laptev, Simon Lacoste-Julien

* Appears in: International Conference on Computer Vision 2017 (ICCV 2017). 15 pages 

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Learning from Video and Text via Large-Scale Discriminative Clustering

Jul 27, 2017
Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic

* To appear in ICCV 2017 

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Unsupervised Learning from Narrated Instruction Videos

Jun 28, 2016
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien

* Appears in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016). 21 pages 

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Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs

May 30, 2016
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet K. Dokania, Simon Lacoste-Julien

* Appears in Proceedings of the 33rd International Conference on Machine Learning (ICML 2016). 31 pages 

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