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Segmenter: Transformer for Semantic Segmentation


May 12, 2021
Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid

* Code available at https://github.com/rstrudel/segmenter 

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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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Training Vision Transformers for Image Retrieval


Feb 10, 2021
Alaaeldin El-Nouby, Natalia Neverova, Ivan Laptev, Hervé Jégou


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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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Learning Object Manipulation Skills via Approximate State Estimation from Real Videos


Nov 13, 2020
Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic

* CoRL 2020, code at https://github.com/makarandtapaswi/Real2Sim_CoRL2020, project page at https://data.ciirc.cvut.cz/public/projects/2020Real2Sim/ 

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Learning Obstacle Representations for Neural Motion Planning


Aug 29, 2020
Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid


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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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Occlusion resistant learning of intuitive physics from videos


Apr 30, 2020
Ronan Riochet, Josef Sivic, Ivan Laptev, Emmanuel Dupoux


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Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction


Apr 28, 2020
Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid

* CVPR 2020. See the project webpage at https://hassony2.github.io/handobjectconsist.html 

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Learning visual policies for building 3D shape categories


Apr 15, 2020
Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid


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Learning Interactions and Relationships between Movie Characters


Mar 29, 2020
Anna Kukleva, Makarand Tapaswi, Ivan Laptev

* CVPR 2020 (Oral) 

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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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Action Modifiers: Learning from Adverbs in Instructional Videos


Dec 16, 2019
Hazel Doughty, Ivan Laptev, Walterio Mayol-Cuevas, Dima Damen


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Synthetic Humans for Action Recognition from Unseen Viewpoints


Dec 09, 2019
Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman


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Combining learned skills and reinforcement learning for robotic manipulations


Aug 02, 2019
Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid

* 11 pages 

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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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Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning


Apr 23, 2019
Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic


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Deep Metric Learning Beyond Binary Supervision


Apr 21, 2019
Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak

* Accepted to CVPR 2019 (Oral) 

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Learning joint reconstruction of hands and manipulated objects


Apr 11, 2019
Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid

* CVPR 2019 

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Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video


Apr 04, 2019
Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic


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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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Learning to Augment Synthetic Images for Sim2Real Policy Transfer


Mar 18, 2019
Alexander Pashevich, Robin A. M. Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid

* 7 pages, 4 figures 

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Detecting rare visual relations using analogies


Dec 13, 2018
Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic


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Tube-CNN: Modeling temporal evolution of appearance for object detection in video


Dec 06, 2018
Tuan-Hung Vu, Anton Osokin, Ivan Laptev

* 13 pages, 8 figures, technical report 

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MobileFace: 3D Face Reconstruction with Efficient CNN Regression


Sep 24, 2018
Nikolai Chinaev, Alexander Chigorin, Ivan Laptev

* ECCV Workshops (PeopleCap) 2018 

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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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