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SeaRNN: Training RNNs with Global-Local Losses

Rémi Leblond , Jean-Baptiste Alayrac , Anton Osokin , Simon Lacoste-Julien
ICLR 2018 : 6th International Conference on Learning Representations, Apr 2018, Vancouver, Canada
Communication dans un congrès hal-01950555v1
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Learning from narrated instruction videos

Jean-Baptiste Alayrac , Piotr Bojanowski , Nishant Agrawal , Josef Sivic , Ivan Laptev , et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, XX
Article dans une revue hal-01580630v1

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

Meera Hahn , Nataniel Ruiz , Jean-Baptiste Alayrac , Ivan Laptev , James M. Rehg
2019
Pré-publication, Document de travail hal-01979719v1

Joint Discovery of Object States and Manipulation Actions

Jean-Baptiste Alayrac , Josev Sivic , Ivan Laptev , Simon Lacoste-Julien
ICCV 2017 - IEEE International Conference on Computer Vision, Oct 2017, Venice, Italy
Communication dans un congrès hal-01676084v1

Unsupervised Learning from Narrated Instruction Videos

Jean-Baptiste Alayrac , Piotr Bojanowski , Nishant Agrawal , Josef Sivic , Ivan Laptev , et al.
CVPR2016 - 29th IEEE Conference on Computer Vision and Pattern Recognition, Jun 2016, Las Vegas, United States
Communication dans un congrès hal-01171193v1
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Cross-task weakly supervised learning from instructional videos

Dimitri Zhukov , Jean-Baptiste Alayrac , Ramazan Gokberk Cinbis , David F. Fouhey , Ivan Laptev , et al.
CVPR 2019 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2019, Long Beach, CA, United States
Communication dans un congrès hal-02434806v1
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Structured learning from video and natural language

Jean-Baptiste Alayrac
Computer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2018. English. ⟨NNT : 2018PSLEE072⟩
Thèse tel-01885412v2
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End-to-End Learning of Visual Representations from Uncurated Instructional Videos

Antoine Miech , Jean-Baptiste Alayrac , Piotr Bojanowski , Ivan Laptev , Josef Sivic
CVPR 2020 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle / Virtual, United States
Communication dans un congrès hal-01569540v2
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Learning Actionness via Long-range Temporal Order Verification

Dimitri Zhukov , Jean-Baptiste Alayrac , Ivan Laptev , Josef Sivic
ECCV 2020 - European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom
Communication dans un congrès hal-03048753v1

SEARNN: Training RNNs with global-local losses

Rémi Leblond , Jean-Baptiste Alayrac , Anton Osokin , Simon Lacoste-Julien
2017
Pré-publication, Document de travail hal-01665263v1

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

Anton Osokin , Jean-Baptiste Alayrac , Isabella Lukasewitz , Puneet K. Dokania , Simon Lacoste-Julien
International Conference on Machine Learning (ICML 2016)., 2016, New York, United States
Communication dans un congrès hal-01323727v1

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

Antoine Miech , Jean-Baptiste Alayrac , Lucas Smaira , Ivan Laptev , Josef Sivic , et al.
2020
Pré-publication, Document de travail hal-02433504v1

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

Antoine Miech , Dimitri Zhukov , Jean-Baptiste Alayrac , Makarand Tapaswi , Ivan Laptev , et al.
ICCV 2019 - International Conference on Computer Vision, Oct 2019, Séoul, South Korea
Communication dans un congrès hal-02433497v1

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

Guilhem Chéron , Jean-Baptiste Alayrac , Ivan Laptev , Cordelia Schmid
NIPS 2018 - 32nd Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. pp.1-17
Communication dans un congrès hal-01937002v1