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OpenBot: Turning Smartphones into Robots

Aug 24, 2020
Matthias MĂŒller, Vladlen Koltun


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Free View Synthesis

Aug 12, 2020
Gernot Riegler, Vladlen Koltun

* published at ECCV 2020, https://youtu.be/JDJPn3ZtfZs 

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Drinking from a Firehose: Continual Learning with Web-scale Natural Language

Jul 18, 2020
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun

* Source Code: https://github.com/firehose-dataset/congrad 

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Dynamic Low-light Imaging with Quanta Image Sensors

Jul 16, 2020
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan

* Published in the 16th European Conference on Computer Vision (ECCV) 2020 

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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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