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Scaling Imitation Learning in Minecraft

Jul 06, 2020
Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox


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Scalable Differentiable Physics for Learning and Control

Jul 04, 2020
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

* Proceedings of the 37th International Conference on Machine Learning, ICML 2020 

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Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Jun 23, 2020
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun

* Paper published in ICML2020. Visualizations of trained policies can be found at https://sites.google.com/view/sample-factory 

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Multiscale Deep Equilibrium Models

Jun 15, 2020
Shaojie Bai, Vladlen Koltun, J. Zico Kolter


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Deep Drone Acrobatics

Jun 11, 2020
Elia Kaufmann, Antonio Loquercio, RenĂ© Ranftl, Matthias MĂŒller, Vladlen Koltun, Davide Scaramuzza

* Robotics, Science, and Systems (RSS), 2020 
* 8 pages + 2 pages references. Video: https://youtu.be/2N_wKXQ6MXA. Code: https://github.com/uzh-rpg/deep_drone_acrobatics 

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Auto-decoding Graphs

Jun 04, 2020
Sohil Atul Shah, Vladlen Koltun


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High-dimensional Convolutional Networks for Geometric Pattern Recognition

May 17, 2020
Christopher Choy, Junha Lee, Rene Ranftl, Jaesik Park, Vladlen Koltun

* Accepted for CVPR 2020 oral presentation 

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Deep Global Registration

May 08, 2020
Christopher Choy, Wei Dong, Vladlen Koltun

* Accepted for CVPR'20 oral presentation 

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Exploring Self-attention for Image Recognition

Apr 28, 2020
Hengshuang Zhao, Jiaya Jia, Vladlen Koltun

* CVPR 2020, Code available at https://github.com/hszhao/SAN 

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Learning to Guide Random Search

Apr 25, 2020
Ozan Sener, Vladlen Koltun

* Published at ICLR 2020, Code is available at: https://github.com/intel-isl/LMRS 

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Tracking Objects as Points

Apr 02, 2020
Xingyi Zhou, Vladlen Koltun, Philipp KrĂ€henbĂŒhl

* Code available at https://github.com/xingyizhou/CenterTrack 

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Learning to Control PDEs with Differentiable Physics

Jan 21, 2020
Philipp Holl, Vladlen Koltun, Nils Thuerey

* Published as a conference paper at ICLR 2020. Main text: 10 pages, 6 figures, 3 tables. Total: 28 pages, 18 figures 

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Learning by Cheating

Dec 27, 2019
Dian Chen, Brady Zhou, Vladlen Koltun, Philipp KrĂ€henbĂŒhl

* Paper published in CoRL2019 

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Deep Equilibrium Models

Sep 03, 2019
Shaojie Bai, J. Zico Kolter, Vladlen Koltun

* NeurIPS 2019 Spotlight 

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Consensus Maximization Tree Search Revisited

Aug 25, 2019
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun

* Accepted as oral presentation to ICCV'19 

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Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

Jul 02, 2019
Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun


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The Limited Multi-Label Projection Layer

Jun 22, 2019
Brandon Amos, Vladlen Koltun, J. Zico Kolter


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High Speed and High Dynamic Range Video with an Event Camera

Jun 15, 2019
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza

* arXiv admin note: substantial text overlap with arXiv:1904.08298 

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Does computer vision matter for action?

May 30, 2019
Brady Zhou, Philipp KrĂ€henbĂŒhl, Vladlen Koltun

* Science Robotics 22 May 2019: Vol. 4, Issue 30, eaaw6661 
* Published in Science Robotics, 4(30), May 2019 

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Deep Drone Racing: From Simulation to Reality with Domain Randomization

May 21, 2019
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* 12 pages. arXiv admin note: text overlap with arXiv:1806.08548 

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Zoom To Learn, Learn To Zoom

May 13, 2019
Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun

* CVPR 2019, https://ceciliavision.github.io/project-pages/project-zoom.html (paper, video, supp, code, dataset) 

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What Do Single-view 3D Reconstruction Networks Learn?

May 09, 2019
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox


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Events-to-Video: Bringing Modern Computer Vision to Event Cameras

Apr 17, 2019
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza

* IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019 

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Habitat: A Platform for Embodied AI Research

Apr 02, 2019
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra


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Benchmarking Classic and Learned Navigation in Complex 3D Environments

Mar 28, 2019
Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun

* Added CNN-Monodepth and OpenCV Stereo agents 

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Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing

Mar 01, 2019
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* IEEE International Conference on Robotics and Automation (ICRA), 2019 
* 6 pages (+1 references) 

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