René Ranftl

According to our database, René Ranftl authored at least 49 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Monocular Visual-Inertial Depth Estimation.

Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

An Analysis of Super-Net Heuristics in Weight-Sharing NAS.

Kaicheng Yu, René Ranftl, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Constrained stochastic optimal control with learned importance sampling: A path integral approach.

Jan Carius, René Ranftl, Farbod Farshidian, Marco Hutter

Int. J. Robotics Res., 2022

Unsupervised Contrastive Domain Adaptation for Semantic Segmentation.

Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter

CoRR, 2022

Language-driven Semantic Segmentation.

Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021).

Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza

Dataset, October, 2021

Learning high-speed flight in the wild.

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

Sci. Robotics, 2021

High Speed and High Dynamic Range Video with an Event Camera.

Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Transferable End-to-end Room Layout Estimation via Implicit Encoding.

Hao Zhao, René Ranftl, Yurong Chen, Hongbin Zha

CoRR, 2021

Looking Beyond Single Images for Contrastive Semantic Segmentation Learning.

Feihu Zhang, Philip H. S. Torr, René Ranftl, Stephan R. Richter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Drone Acrobatics (Extended Abstract).

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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Vision Transformers for Dense Prediction.

René Ranftl, Alexey Bochkovskiy, Vladlen Koltun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search.

Kaicheng Yu, René Ranftl, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Drone Racing: From Simulation to Reality With Domain Randomization.

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

IEEE Trans. Robotics, 2020

Safe Robot Navigation Via Multi-Modal Anomaly Detection.

Lorenz Wellhausen, René Ranftl, Marco Hutter

IEEE Robotics Autom. Lett., 2020

How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS.

Kaicheng Yu, René Ranftl, Mathieu Salzmann

CoRR, 2020

Deep Drone Acrobatics.

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

Proceedings of the Robotics: Science and Systems XVI, 2020

High-Dimensional Convolutional Networks for Geometric Pattern Recognition.

Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning.

Lorenz Wellhausen, Alexey Dosovitskiy, René Ranftl, Krzysztof Walas, Cesar Cadena, Marco Hutter

IEEE Robotics Autom. Lett., 2019

Frequency-Aware Model Predictive Control.

Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter

IEEE Robotics Autom. Lett., 2019

Trajectory Optimization for Legged Robots With Slipping Motions.

Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter

IEEE Robotics Autom. Lett., 2019

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

Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun

CoRR, 2019

Feedback MPC for Torque-Controlled Legged Robots.

Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

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

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

Proceedings of the International Conference on Robotics and Automation, 2019

Learning to Predict the Wind for Safe Aerial Vehicle Planning.

Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart

Proceedings of the International Conference on Robotics and Automation, 2019

Deep Layers as Stochastic Solvers.

Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl

Proceedings of the 7th International Conference on Learning Representations, 2019

What Do Single-View 3D Reconstruction Networks Learn?

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Trajectory Optimization With Implicit Hard Contacts.

Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter

IEEE Robotics Autom. Lett., 2018

Deep Fundamental Matrix Estimation.

René Ranftl, Vladlen Koltun

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.

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

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Accurate Optical Flow via Direct Cost Volume Processing.

Jia Xu, René Ranftl, Vladlen Koltun

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems.

Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock

J. Math. Imaging Vis., 2016

Dense Monocular Depth Estimation in Complex Dynamic Scenes.

René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Bilevel Optimization with Nonsmooth Lower Level Problems.

Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Depth Restoration via Joint Training of a Global Regression Model and CNNs.

Gernot Riegler, René Ranftl, Matthias Rüther, Thomas Pock, Horst Bischof

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs.

Yunjin Chen, René Ranftl, Thomas Pock

IEEE Trans. Image Process., 2014

A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction.

Yunjin Chen, WenSen Feng, René Ranftl, Hong Qiao, Thomas Pock

IEEE Signal Process. Lett., 2014

A bi-level view of inpainting - based image compression.

Yunjin Chen, René Ranftl, Thomas Pock

CoRR, 2014

Non-local Total Generalized Variation for Optical Flow Estimation.

René Ranftl, Kristian Bredies, Thomas Pock

Proceedings of the Computer Vision - ECCV 2014, 2014

A Deep Variational Model for Image Segmentation.

René Ranftl, Thomas Pock

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Minimizing TGV-Based Variational Models with Non-convex Data Terms.

René Ranftl, Thomas Pock, Horst Bischof

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation.

David Ferstl, Christian Reinbacher, René Ranftl, Matthias Rüther, Horst Bischof

Proceedings of the IEEE International Conference on Computer Vision, 2013

Multi-modality depth map fusion using primal-dual optimization.

David Ferstl, René Ranftl, Matthias Rüther, Horst Bischof

Proceedings of the IEEE International Conference on Computational Photography, 2013

Variational Shape from Light Field.

Stefan Heber, René Ranftl, Thomas Pock

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration.

Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof

Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012

Pushing the limits of stereo using variational stereo estimation.

René Ranftl, Stefan Gehrig, Thomas Pock, Horst Bischof

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Approximate Envelope Minimization for Curvature Regularity.

Stefan Heber, René Ranftl, Thomas Pock

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012