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Deep Drone Acrobatics


Jun 11, 2020
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, 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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Safe Robot Navigation via Multi-Modal Anomaly Detection


Jan 22, 2020
Lorenz Wellhausen, René Ranftl, Marco Hutter


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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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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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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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Feedback MPC for Torque-Controlled Legged Robots


May 15, 2019
Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter

* submitted to IROS 2019 

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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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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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Frequency-Aware Model Predictive Control


Feb 08, 2019
Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter

* IEEE Robotics and Automation Letters 2019 

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Accurate Optical Flow via Direct Cost Volume Processing


Apr 24, 2017
Jia Xu, René Ranftl, Vladlen Koltun

* Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2017) 

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A higher-order MRF based variational model for multiplicative noise reduction


Jul 07, 2014
Yunjin Chen, Wensen Feng, René Ranftl, Hong Qiao, Thomas Pock

* 5 pages, 5 figures, to appear in IEEE Signal Processing Letters 

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A bi-level view of inpainting - based image compression


May 09, 2014
Yunjin Chen, René Ranftl, Thomas Pock

* 8 pages, 4 figures, best paper award of CVWW 2014, Computer Vision Winter Workshop, K\v{r}tiny, Czech Republic, 3-5th February 2014 

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Revisiting loss-specific training of filter-based MRFs for image restoration


Jan 16, 2014
Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof

* 10 pages, 2 figures, appear at 35th German Conference, GCPR 2013, Saarbr\"ucken, Germany, September 3-6, 2013. Proceedings 

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Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs


Jan 13, 2014
Yunjin Chen, René Ranftl, Thomas Pock

* 13 pages, 10 figures, accepted to IEEE Image Processing 

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