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    Author information
    First name: Ivan
    Last name: Laptev
    DBLP: 41/1854
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    Below you find the publications which have been written by this author.

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    Conference paper
    Gül Varol, Javier Romero 0002, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid.
    Learning from Synthetic Humans.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Haroon Idrees, Amir Roshan Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah.
    The THUMOS challenge on action recognition for videos "in the wild".
    Computer Vision and Image Understanding 2017, Volume 155 (0) 2017
    Conference paper
    Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien.
    Joint Discovery of Object States and Manipulating Actions.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Antoine Miech, Ivan Laptev, Josef Sivic.
    Learnable pooling with Context Gating for video classification.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta.
    Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Gül Varol, Ivan Laptev, Cordelia Schmid.
    Long-term Temporal Convolutions for Action Recognition.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Haroon Idrees, Amir Roshan Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah.
    The THUMOS Challenge on Action Recognition for Videos "in the Wild".
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Ivan Laptev, Deva Ramanan, Josef Sivic.
    Guest Editorial: Video Recognition.
    International Journal of Computer Vision 2016, Volume 119 (0) 2016
    Conference paper
    Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta.
    Much Ado About Time: Exhaustive Annotation of Temporal Data.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev.
    ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization.
    Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V 2016 (0) 2016
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