René Ranftl

69 papers A* 14A 2B 2Misc 1Journal 40Unranked 10
YearRankTypeTitle / Venue / Authors
2023 A* conf
Monocular Visual-Inertial Depth Estimation.
ICRA
Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
2023 J jnl
Monocular Visual-Inertial Depth Estimation.
CoRR
Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
2022 J jnl
An Analysis of Super-Net Heuristics in Weight-Sharing NAS.
IEEE Trans. Pattern Anal. Mach. Intell.
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2022 J jnl
Constrained stochastic optimal control with learned importance sampling: A path integral approach.
Int. J. Robotics Res.
Jan Carius, René Ranftl, Farbod Farshidian, Marco Hutter
2022 A* conf
Language-driven Semantic Segmentation.
ICLR
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
2022 J jnl
Language-driven Semantic Segmentation.
CoRR
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
2022 J jnl
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer.
IEEE Trans. Pattern Anal. Mach. Intell.
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun
2022 J jnl
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation.
CoRR
Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter
2021 J jnl
An Analysis of Super-Net Heuristics in Weight-Sharing NAS.
CoRR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021 A* conf
Deep Drone Acrobatics (Extended Abstract).
IJCAI
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021 J jnl
High Speed and High Dynamic Range Video with an Event Camera.
IEEE Trans. Pattern Anal. Mach. Intell.
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2021 A* conf
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search.
CVPR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021 J jnl
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search.
CoRR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021 J jnl
Learning High-Speed Flight in the Wild.
CoRR
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021 J jnl
Learning high-speed flight in the wild.
Sci. Robotics
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021 A* conf
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning.
NeurIPS
Feihu Zhang, Philip H. S. Torr, René Ranftl, Stephan R. Richter
2021 J jnl
Transferable End-to-end Room Layout Estimation via Implicit Encoding.
CoRR
Hao Zhao, René Ranftl, Yurong Chen, Hongbin Zha
2021 A* conf
Vision Transformers for Dense Prediction.
ICCV
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
2021 J jnl
Vision Transformers for Dense Prediction.
CoRR
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
2020 — conf
Deep Drone Acrobatics.
Robotics: Science and Systems
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020 J jnl
Deep Drone Acrobatics.
CoRR
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020 J jnl
Deep Drone Racing: From Simulation to Reality With Domain Randomization.
IEEE Trans. Robotics
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2020 A* conf
High-Dimensional Convolutional Networks for Geometric Pattern Recognition.
CVPR
Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
2020 J jnl
High-dimensional Convolutional Networks for Geometric Pattern Recognition.
CoRR
Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
2020 J jnl
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS.
CoRR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2020 J jnl
Safe Robot Navigation Via Multi-Modal Anomaly Detection.
IEEE Robotics Autom. Lett.
Lorenz Wellhausen, René Ranftl, Marco Hutter
2020 J jnl
Safe Robot Navigation via Multi-Modal Anomaly Detection.
CoRR
Lorenz Wellhausen, René Ranftl, Marco Hutter
2019 A* conf
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.
ICRA
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019 J jnl
Deep Drone Racing: From Simulation to Reality with Domain Randomization.
CoRR
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019 — conf
Deep Layers as Stochastic Solvers.
ICLR (Poster)
Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl
2019 A* conf
Events-To-Video: Bringing Modern Computer Vision to Event Cameras.
CVPR
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2019 J jnl
Events-to-Video: Bringing Modern Computer Vision to Event Cameras.
CoRR
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2019 A conf
Feedback MPC for Torque-Controlled Legged Robots.
IROS
Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter
2019 J jnl
Feedback MPC for Torque-Controlled Legged Robots.
CoRR
Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter
2019 J jnl
Frequency-Aware Model Predictive Control.
IEEE Robotics Autom. Lett.
Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
2019 J jnl
High Speed and High Dynamic Range Video with an Event Camera.
CoRR
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2019 A* conf
Learning to Predict the Wind for Safe Aerial Vehicle Planning.
ICRA
Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart
2019 J jnl
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer.
CoRR
Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun
2019 J jnl
Trajectory Optimization for Legged Robots With Slipping Motions.
IEEE Robotics Autom. Lett.
Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter
2019 A* conf
What Do Single-View 3D Reconstruction Networks Learn?
CVPR
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
2019 J jnl
What Do Single-view 3D Reconstruction Networks Learn?
CoRR
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
2019 J jnl
Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning.
IEEE Robotics Autom. Lett.
Lorenz Wellhausen, Alexey Dosovitskiy, René Ranftl, Krzysztof Walas, Cesar Cadena, Marco Hutter
2018 J jnl
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.
CoRR
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018 Misc conf
Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
CoRL
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018 J jnl
Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
CoRR
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018 — conf
Deep Fundamental Matrix Estimation.
ECCV (1)
René Ranftl, Vladlen Koltun
2018 J jnl
Frequency-Aware Model Predictive Control.
CoRR
Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
2018 J jnl
Trajectory Optimization With Implicit Hard Contacts.
IEEE Robotics Autom. Lett.
Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter
2017 A* conf
Accurate Optical Flow via Direct Cost Volume Processing.
CVPR
Jia Xu, René Ranftl, Vladlen Koltun
2017 J jnl
Accurate Optical Flow via Direct Cost Volume Processing.
CoRR
Jia Xu, René Ranftl, Vladlen Koltun
2016 A* conf
Dense Monocular Depth Estimation in Complex Dynamic Scenes.
CVPR
René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun
2016 J jnl
Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems.
J. Math. Imaging Vis.
Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
2015 — conf
Bilevel Optimization with Nonsmooth Lower Level Problems.
SSVM
Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
2015 A conf
Depth Restoration via Joint Training of a Global Regression Model and CNNs.
BMVC
Gernot Riegler, René Ranftl, Matthias Rüther, Thomas Pock, Horst Bischof
2014 — conf
A Deep Variational Model for Image Segmentation.
GCPR
René Ranftl, Thomas Pock
2014 J jnl
A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction.
IEEE Signal Process. Lett.
Yunjin Chen, Wensen Feng, René Ranftl, Hong Qiao, Thomas Pock
2014 J jnl
A bi-level view of inpainting - based image compression.
CoRR
Yunjin Chen, René Ranftl, Thomas Pock
2014 J jnl
A higher-order MRF based variational model for multiplicative noise reduction.
CoRR
Yunjin Chen, Wensen Feng, René Ranftl, Hong Qiao, Thomas Pock
2014 J jnl
Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs.
IEEE Trans. Image Process.
Yunjin Chen, René Ranftl, Thomas Pock
2014 J jnl
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs.
CoRR
Yunjin Chen, René Ranftl, Thomas Pock
2014 — conf
Non-local Total Generalized Variation for Optical Flow Estimation.
ECCV (1)
René Ranftl, Kristian Bredies, Thomas Pock
2014 J jnl
Revisiting loss-specific training of filter-based MRFs for image restoration.
CoRR
Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof
2013 A* conf
Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation.
ICCV
David Ferstl, Christian Reinbacher, René Ranftl, Matthias Rüther, Horst Bischof
2013 — conf
Minimizing TGV-Based Variational Models with Non-convex Data Terms.
SSVM
René Ranftl, Thomas Pock, Horst Bischof
2013 B conf
Multi-modality depth map fusion using primal-dual optimization.
ICCP
David Ferstl, René Ranftl, Matthias Rüther, Horst Bischof
2013 — conf
Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration.
GCPR
Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof
2013 — conf
Variational Shape from Light Field.
EMMCVPR
Stefan Heber, René Ranftl, Thomas Pock
2012 — conf
Approximate Envelope Minimization for Curvature Regularity.
ECCV Workshops (3)
Stefan Heber, René Ranftl, Thomas Pock
2012 B conf
Pushing the limits of stereo using variational stereo estimation.
Intelligent Vehicles Symposium
René Ranftl, Stefan Gehrig, Thomas Pock, Horst Bischof