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Imitating Interactive Intelligence

Jan 21, 2021
Josh Abramson, Arun Ahuja, Iain Barr, Arthur Brussee, Federico Carnevale, Mary Cassin, Rachita Chhaparia, Stephen Clark, Bogdan Damoc, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy Lillicrap, Kory Mathewson, Soňa Mokrá, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Duncan Williams, Nathaniel Wong, Chen Yan, Rui Zhu

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Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction

Jun 25, 2019
Nikolay Savinov, Lubor Ladicky, Christian Haene, Marc Pollefeys

* Published at CVPR 2015 

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Episodic Curiosity through Reachability

Feb 22, 2019
Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy Lillicrap, Sylvain Gelly

* Accepted to ICLR 2019. Code at Videos at 

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RNN-based Generative Model for Fine-Grained Sketching

Jan 13, 2019
Andrin Jenal, Nikolay Savinov, Torsten Sattler, Gaurav Chaurasia

* Includes supplemental material. Link to datasets to be added shortly 

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Conditional Affordance Learning for Driving in Urban Environments

Nov 03, 2018
Axel Sauer, Nikolay Savinov, Andreas Geiger

* Accepted for Conference on Robot Learning (CoRL) 2018 

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Semi-parametric Topological Memory for Navigation

Mar 01, 2018
Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun

* Published at International Conference on Learning Representations (ICLR) 2018. Project website at 

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Matching neural paths: transfer from recognition to correspondence search

Nov 05, 2017
Nikolay Savinov, Lubor Ladicky, Marc Pollefeys

* Accepted at NIPS 2017 

  Access Paper or Ask Questions A new Large-scale Point Cloud Classification Benchmark

Apr 12, 2017
Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan D. Wegner, Konrad Schindler, Marc Pollefeys

* Accepted to ISPRS Annals. The benchmark website is available at . The baseline code is available at 

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Quad-networks: unsupervised learning to rank for interest point detection

Apr 10, 2017
Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys

* Accepted at CVPR 2017 

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TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Sep 22, 2016
Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys

* Accepted at CVPR 2016. The first two authors assert equal contribution and joint first authorship 

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Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint

May 22, 2016
Nikolay Savinov, Christian Haene, Lubor Ladicky, Marc Pollefeys

* Accepted as a spotlight oral paper by CVPR 2016 

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