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Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers


Mar 30, 2021
Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman

* Accepted to CVPR 2021 

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Just Ask: Learning to Answer Questions from Millions of Narrated Videos


Dec 01, 2020
Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid

* 19 pages; 12 figures 

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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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The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)


Aug 03, 2020
Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shizhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao

* Individual reports, dataset information, rules, and released source code can be found at the competition webpage (https://www.robots.ox.ac.uk/~vgg/challenges/video-pentathlon

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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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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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Learning a Text-Video Embedding from Incomplete and Heterogeneous Data


Apr 07, 2018
Antoine Miech, Ivan Laptev, Josef Sivic


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Learnable pooling with Context Gating for video classification


Mar 05, 2018
Antoine Miech, Ivan Laptev, Josef Sivic

* Presented at Youtube 8M CVPR17 Workshop. Kaggle Winning model. Under review for TPAMI 

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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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