Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for René Ranftl

René Ranftl

Deep Drone Acrobatics


Jun 11, 2020
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Figure 1 for Deep Drone Acrobatics
Figure 2 for Deep Drone Acrobatics
Figure 3 for Deep Drone Acrobatics
Figure 4 for Deep Drone Acrobatics
* 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 
  Access Paper or Ask Questions

Safe Robot Navigation via Multi-Modal Anomaly Detection


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

Figure 1 for Safe Robot Navigation via Multi-Modal Anomaly Detection
Figure 2 for Safe Robot Navigation via Multi-Modal Anomaly Detection
Figure 3 for Safe Robot Navigation via Multi-Modal Anomaly Detection
Figure 4 for Safe Robot Navigation via Multi-Modal Anomaly Detection

  Access Paper or Ask Questions

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


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

Figure 1 for Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
Figure 2 for Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
Figure 3 for Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
Figure 4 for Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

  Access Paper or Ask Questions

High Speed and High Dynamic Range Video with an Event Camera


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

Figure 1 for High Speed and High Dynamic Range Video with an Event Camera
Figure 2 for High Speed and High Dynamic Range Video with an Event Camera
Figure 3 for High Speed and High Dynamic Range Video with an Event Camera
Figure 4 for High Speed and High Dynamic Range Video with an Event Camera
* arXiv admin note: substantial text overlap with arXiv:1904.08298 
  Access Paper or Ask Questions

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

Figure 1 for Deep Drone Racing: From Simulation to Reality with Domain Randomization
Figure 2 for Deep Drone Racing: From Simulation to Reality with Domain Randomization
Figure 3 for Deep Drone Racing: From Simulation to Reality with Domain Randomization
Figure 4 for Deep Drone Racing: From Simulation to Reality with Domain Randomization
* 12 pages. arXiv admin note: text overlap with arXiv:1806.08548 
  Access Paper or Ask Questions

Feedback MPC for Torque-Controlled Legged Robots


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

Figure 1 for Feedback MPC for Torque-Controlled Legged Robots
Figure 2 for Feedback MPC for Torque-Controlled Legged Robots
Figure 3 for Feedback MPC for Torque-Controlled Legged Robots
Figure 4 for Feedback MPC for Torque-Controlled Legged Robots
* submitted to IROS 2019 
  Access Paper or Ask Questions

What Do Single-view 3D Reconstruction Networks Learn?


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

Figure 1 for What Do Single-view 3D Reconstruction Networks Learn?
Figure 2 for What Do Single-view 3D Reconstruction Networks Learn?
Figure 3 for What Do Single-view 3D Reconstruction Networks Learn?
Figure 4 for What Do Single-view 3D Reconstruction Networks Learn?

  Access Paper or Ask Questions

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


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

Figure 1 for Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Figure 2 for Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Figure 3 for Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Figure 4 for Events-to-Video: Bringing Modern Computer Vision to Event Cameras
* IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019 
  Access Paper or Ask Questions

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

Figure 1 for Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing
Figure 2 for Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing
Figure 3 for Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing
Figure 4 for Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing
* IEEE International Conference on Robotics and Automation (ICRA), 2019 
 * 6 pages (+1 references) 
  Access Paper or Ask Questions

Frequency-Aware Model Predictive Control


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

Figure 1 for Frequency-Aware Model Predictive Control
Figure 2 for Frequency-Aware Model Predictive Control
Figure 3 for Frequency-Aware Model Predictive Control
Figure 4 for Frequency-Aware Model Predictive Control
* IEEE Robotics and Automation Letters 2019 
  Access Paper or Ask Questions

Accurate Optical Flow via Direct Cost Volume Processing


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

Figure 1 for Accurate Optical Flow via Direct Cost Volume Processing
Figure 2 for Accurate Optical Flow via Direct Cost Volume Processing
Figure 3 for Accurate Optical Flow via Direct Cost Volume Processing
Figure 4 for Accurate Optical Flow via Direct Cost Volume Processing
* Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2017) 
  Access Paper or Ask Questions

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


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

Figure 1 for A higher-order MRF based variational model for multiplicative noise reduction
Figure 2 for A higher-order MRF based variational model for multiplicative noise reduction
Figure 3 for A higher-order MRF based variational model for multiplicative noise reduction
Figure 4 for A higher-order MRF based variational model for multiplicative noise reduction
* 5 pages, 5 figures, to appear in IEEE Signal Processing Letters 
  Access Paper or Ask Questions

A bi-level view of inpainting - based image compression


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

Figure 1 for A bi-level view of inpainting - based image compression
Figure 2 for A bi-level view of inpainting - based image compression
Figure 3 for A bi-level view of inpainting - based image compression
Figure 4 for A bi-level view of inpainting - based image compression
* 8 pages, 4 figures, best paper award of CVWW 2014, Computer Vision Winter Workshop, K\v{r}tiny, Czech Republic, 3-5th February 2014 
  Access Paper or Ask Questions

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


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

Figure 1 for Revisiting loss-specific training of filter-based MRFs for image restoration
Figure 2 for Revisiting loss-specific training of filter-based MRFs for image restoration
Figure 3 for Revisiting loss-specific training of filter-based MRFs for image restoration
Figure 4 for Revisiting loss-specific training of filter-based MRFs for image restoration
* 10 pages, 2 figures, appear at 35th German Conference, GCPR 2013, Saarbr\"ucken, Germany, September 3-6, 2013. Proceedings 
  Access Paper or Ask Questions

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


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

Figure 1 for Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
Figure 2 for Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
Figure 3 for Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
Figure 4 for Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
* 13 pages, 10 figures, accepted to IEEE Image Processing 
  Access Paper or Ask Questions