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Gradient Forward-Propagation for Large-Scale Temporal Video Modelling


Jun 15, 2021
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, Joao Carreira

* Accepted to CVPR 2021. arXiv admin note: text overlap with arXiv:2001.06232 

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Broaden Your Views for Self-Supervised Video Learning


Mar 30, 2021
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman


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Sideways: Depth-Parallel Training of Video Models


Jan 17, 2020
Mateusz Malinowski, Grzegorz Swirszcz, Joao Carreira, Viorica Patraucean


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Massively Parallel Video Networks


Sep 05, 2018
Joao Carreira, Viorica Patraucean, Laurent Mazare, Andrew Zisserman, Simon Osindero

* Fixed typos in densenet model definition in appendix 

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Spatio-temporal video autoencoder with differentiable memory


Sep 01, 2016
Viorica Patraucean, Ankur Handa, Roberto Cipolla

* The experiments section has been extended and a direct application to weakly-supervised video segmentation through label propagation has been included 

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gvnn: Neural Network Library for Geometric Computer Vision


Aug 12, 2016
Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew Davison

* Submitted to ECCV Workshop on Deep Geometry 

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SceneNet: Understanding Real World Indoor Scenes With Synthetic Data


Nov 26, 2015
Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla


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SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes


May 01, 2015
Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla


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