René Ranftl

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 54

Top Topics

Model For Image Segmentation

Semantic Segmentation

High Dynamic Range

Top Venues

IEEE Robotics Autom. Lett.

Publications

Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
Monocular Visual-Inertial Depth Estimation. ICRA (2023)
Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
Monocular Visual-Inertial Depth Estimation. CoRR (2023)
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Jan Carius, René Ranftl, Farbod Farshidian, Marco Hutter
Constrained stochastic optimal control with learned importance sampling: A path integral approach. Int. J. Robotics Res. 41 (2) (2022)
Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. CoRR (2022)
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
Language-driven Semantic Segmentation. ICLR (2022)
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
Language-driven Semantic Segmentation. CoRR (2022)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR (2021)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Learning High-Speed Flight in the Wild. CoRR (2021)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR (2021)
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
Vision Transformers for Dense Prediction. ICCV (2021)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics (Extended Abstract). IJCAI (2021)
Feihu Zhang, Philip H. S. Torr, René Ranftl, Stephan R. Richter
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning. NeurIPS (2021)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Learning high-speed flight in the wild. Sci. Robotics 6 (59) (2021)
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
Vision Transformers for Dense Prediction. CoRR (2021)
Hao Zhao, René Ranftl, Yurong Chen, Hongbin Zha
Transferable End-to-end Room Layout Estimation via Implicit Encoding. CoRR (2021)
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
High Speed and High Dynamic Range Video with an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR (2021)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR (2020)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics 36 (1) (2020)
Christopher Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
High-dimensional Convolutional Networks for Geometric Pattern Recognition. CoRR (2020)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics. Robotics: Science and Systems (2020)
Lorenz Wellhausen, René Ranftl, Marco Hutter
Safe Robot Navigation Via Multi-Modal Anomaly Detection. IEEE Robotics Autom. Lett. 5 (2) (2020)
Christopher Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
High-Dimensional Convolutional Networks for Geometric Pattern Recognition. CVPR (2020)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics. CoRR (2020)
Lorenz Wellhausen, René Ranftl, Marco Hutter
Safe Robot Navigation via Multi-Modal Anomaly Detection. CoRR (2020)
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
Events-To-Video: Bringing Modern Computer Vision to Event Cameras. CVPR (2019)
Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter
Feedback MPC for Torque-Controlled Legged Robots. IROS (2019)
Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl
Deep Layers as Stochastic Solvers. ICLR (Poster) (2019)
Lorenz Wellhausen, Alexey Dosovitskiy, René Ranftl, Krzysztof Walas, Cesar Cadena, Marco Hutter
Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning. IEEE Robotics Autom. Lett. 4 (2) (2019)
Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
Frequency-Aware Model Predictive Control. IEEE Robotics Autom. Lett. 4 (2) (2019)
Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart
Learning to Predict the Wind for Safe Aerial Vehicle Planning. ICRA (2019)
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
Events-to-Video: Bringing Modern Computer Vision to Event Cameras. CoRR (2019)
Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. CoRR (2019)
Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter
Trajectory Optimization for Legged Robots With Slipping Motions. IEEE Robotics Autom. Lett. 4 (3) (2019)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR (2019)
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA (2019)
Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter
Feedback MPC for Torque-Controlled Legged Robots. CoRR (2019)
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
What Do Single-View 3D Reconstruction Networks Learn? CVPR (2019)
Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
High Speed and High Dynamic Range Video with an Event Camera. CoRR (2019)
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
What Do Single-view 3D Reconstruction Networks Learn? CoRR (2019)
Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
Frequency-Aware Model Predictive Control. CoRR (2018)
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR (2018)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL (2018)
René Ranftl, Vladlen Koltun
Deep Fundamental Matrix Estimation. ECCV (1) (2018)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR (2018)
Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter
Trajectory Optimization With Implicit Hard Contacts. IEEE Robotics Autom. Lett. 3 (4) (2018)
Jia Xu, René Ranftl, Vladlen Koltun
Accurate Optical Flow via Direct Cost Volume Processing. CoRR (2017)
Jia Xu, René Ranftl, Vladlen Koltun
Accurate Optical Flow via Direct Cost Volume Processing. CVPR (2017)
René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun
Dense Monocular Depth Estimation in Complex Dynamic Scenes. CVPR (2016)
Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems. J. Math. Imaging Vis. 56 (2) (2016)
Gernot Riegler, René Ranftl, Matthias Rüther, Thomas Pock, Horst Bischof
Depth Restoration via Joint Training of a Global Regression Model and CNNs. BMVC (2015)
Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock
Bilevel Optimization with Nonsmooth Lower Level Problems. SSVM (2015)
Yunjin Chen, WenSen Feng, René Ranftl, Hong Qiao, Thomas Pock
A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction. IEEE Signal Process. Lett. 21 (11) (2014)
René Ranftl, Thomas Pock
A Deep Variational Model for Image Segmentation. GCPR (2014)
Yunjin Chen, WenSen Feng, René Ranftl, Hong Qiao, Thomas Pock
A higher-order MRF based variational model for multiplicative noise reduction. CoRR (2014)
Yunjin Chen, René Ranftl, Thomas Pock
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs. CoRR (2014)
René Ranftl, Kristian Bredies, Thomas Pock
Non-local Total Generalized Variation for Optical Flow Estimation. ECCV (1) (2014)
Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof
Revisiting loss-specific training of filter-based MRFs for image restoration. CoRR (2014)
Yunjin Chen, René Ranftl, Thomas Pock
A bi-level view of inpainting - based image compression. CoRR (2014)
Yunjin Chen, René Ranftl, Thomas Pock
Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs. IEEE Trans. Image Process. 23 (3) (2014)
René Ranftl, Thomas Pock, Horst Bischof
Minimizing TGV-Based Variational Models with Non-convex Data Terms. SSVM (2013)
David Ferstl, René Ranftl, Matthias Rüther, Horst Bischof
Multi-modality depth map fusion using primal-dual optimization. ICCP (2013)
Stefan Heber, René Ranftl, Thomas Pock
Variational Shape from Light Field. EMMCVPR (2013)
Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof
Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration. GCPR (2013)
David Ferstl, Christian Reinbacher, René Ranftl, Matthias Rüther, Horst Bischof
Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation. ICCV (2013)
René Ranftl, Stefan Gehrig, Thomas Pock, Horst Bischof
Pushing the limits of stereo using variational stereo estimation. Intelligent Vehicles Symposium (2012)
Stefan Heber, René Ranftl, Thomas Pock
Approximate Envelope Minimization for Curvature Regularity. ECCV Workshops (3) (2012)