default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRené Ranftl
Person information
- affiliation: Intel Laboratory, Munich, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[c29]Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun:
Monocular Visual-Inertial Depth Estimation. ICRA 2023: 6095-6101- [i26]Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun:
Monocular Visual-Inertial Depth Estimation. CoRR abs/2303.12134 (2023) - 2022
- [j14]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): 189-209 (2022) - [j13]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): 1623-1637 (2022) - [j12]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8110-8124 (2022) - [c28]Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl:
Language-driven Semantic Segmentation. ICLR 2022 - [i25]Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl:
Language-driven Semantic Segmentation. CoRR abs/2201.03546 (2022) - [i24]Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter:
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. CoRR abs/2204.08399 (2022) - 2021
- [j11]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): 1964-1980 (2021) - [j10]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning high-speed flight in the wild. Sci. Robotics 6(59) (2021) - [c27]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR 2021: 13723-13732 - [c26]René Ranftl, Alexey Bochkovskiy, Vladlen Koltun:
Vision Transformers for Dense Prediction. ICCV 2021: 12159-12168 - [c25]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics (Extended Abstract). IJCAI 2021: 4780-4783 - [c24]Feihu Zhang, Philip H. S. Torr, René Ranftl, Stephan R. Richter:
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning. NeurIPS 2021: 3285-3297 - [d1]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). Zenodo, 2021
- [i23]René Ranftl, Alexey Bochkovskiy, Vladlen Koltun:
Vision Transformers for Dense Prediction. CoRR abs/2103.13413 (2021) - [i22]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR abs/2104.05309 (2021) - [i21]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR abs/2110.01154 (2021) - [i20]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning High-Speed Flight in the Wild. CoRR abs/2110.05113 (2021) - [i19]Hao Zhao, René Ranftl, Yurong Chen, Hongbin Zha:
Transferable End-to-end Room Layout Estimation via Implicit Encoding. CoRR abs/2112.11340 (2021) - 2020
- [j9]Lorenz Wellhausen, René Ranftl, Marco Hutter:
Safe Robot Navigation Via Multi-Modal Anomaly Detection. IEEE Robotics Autom. Lett. 5(2): 1326-1333 (2020) - [j8]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): 1-14 (2020) - [c23]Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun:
High-Dimensional Convolutional Networks for Geometric Pattern Recognition. CVPR 2020: 11224-11233 - [c22]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. Robotics: Science and Systems 2020 - [i18]Lorenz Wellhausen, René Ranftl, Marco Hutter:
Safe Robot Navigation via Multi-Modal Anomaly Detection. CoRR abs/2001.07934 (2020) - [i17]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR abs/2003.04276 (2020) - [i16]Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun:
High-dimensional Convolutional Networks for Geometric Pattern Recognition. CoRR abs/2005.08144 (2020) - [i15]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. CoRR abs/2006.05768 (2020)
2010 – 2019
- 2019
- [j7]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): 1509-1516 (2019) - [j6]Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter:
Frequency-Aware Model Predictive Control. IEEE Robotics Autom. Lett. 4(2): 1517-1524 (2019) - [j5]Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter:
Trajectory Optimization for Legged Robots With Slipping Motions. IEEE Robotics Autom. Lett. 4(3): 3013-3020 (2019) - [c21]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-View 3D Reconstruction Networks Learn? CVPR 2019: 3405-3414 - [c20]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-To-Video: Bringing Modern Computer Vision to Event Cameras. CVPR 2019: 3857-3866 - [c19]Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl:
Deep Layers as Stochastic Solvers. ICLR (Poster) 2019 - [c18]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: 690-696 - [c17]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: 2311-2317 - [c16]Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter:
Feedback MPC for Torque-Controlled Legged Robots. IROS 2019: 4730-4737 - [i14]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-to-Video: Bringing Modern Computer Vision to Event Cameras. CoRR abs/1904.08298 (2019) - [i13]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-view 3D Reconstruction Networks Learn? CoRR abs/1905.03678 (2019) - [i12]Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter:
Feedback MPC for Torque-Controlled Legged Robots. CoRR abs/1905.06144 (2019) - [i11]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR abs/1905.09727 (2019) - [i10]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. CoRR abs/1906.07165 (2019) - [i9]Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. CoRR abs/1907.01341 (2019) - 2018
- [j4]Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter:
Trajectory Optimization With Implicit Hard Contacts. IEEE Robotics Autom. Lett. 3(4): 3316-3323 (2018) - [c15]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL 2018: 133-145 - [c14]René Ranftl, Vladlen Koltun:
Deep Fundamental Matrix Estimation. ECCV (1) 2018: 292-309 - [i8]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR abs/1806.08548 (2018) - [i7]Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter:
Frequency-Aware Model Predictive Control. CoRR abs/1809.04539 (2018) - [i6]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 abs/1810.06224 (2018) - 2017
- [c13]Jia Xu, René Ranftl, Vladlen Koltun:
Accurate Optical Flow via Direct Cost Volume Processing. CVPR 2017: 5807-5815 - [i5]Jia Xu, René Ranftl, Vladlen Koltun:
Accurate Optical Flow via Direct Cost Volume Processing. CoRR abs/1704.07325 (2017) - 2016
- [j3]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): 175-194 (2016) - [c12]René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun:
Dense Monocular Depth Estimation in Complex Dynamic Scenes. CVPR 2016: 4058-4066 - 2015
- [c11]Gernot Riegler, René Ranftl, Matthias Rüther, Thomas Pock, Horst Bischof:
Depth Restoration via Joint Training of a Global Regression Model and CNNs. BMVC 2015: 58.1-58.12 - [c10]Peter Ochs, René Ranftl, Thomas Brox, Thomas Pock:
Bilevel Optimization with Nonsmooth Lower Level Problems. SSVM 2015: 654-665 - 2014
- [j2]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): 1370-1374 (2014) - [j1]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): 1060-1072 (2014) - [c9]René Ranftl, Thomas Pock:
A Deep Variational Model for Image Segmentation. GCPR 2014: 107-118 - [c8]René Ranftl, Kristian Bredies, Thomas Pock:
Non-local Total Generalized Variation for Optical Flow Estimation. ECCV (1) 2014: 439-454 - [i4]Yunjin Chen, René Ranftl, Thomas Pock:
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs. CoRR abs/1401.2804 (2014) - [i3]Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof:
Revisiting loss-specific training of filter-based MRFs for image restoration. CoRR abs/1401.4107 (2014) - [i2]Yunjin Chen, René Ranftl, Thomas Pock:
A bi-level view of inpainting - based image compression. CoRR abs/1401.4112 (2014) - [i1]Yunjin Chen, WenSen Feng, René Ranftl, Hong Qiao, Thomas Pock:
A higher-order MRF based variational model for multiplicative noise reduction. CoRR abs/1404.5344 (2014) - 2013
- [c7]Yunjin Chen, Thomas Pock, René Ranftl, Horst Bischof:
Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration. GCPR 2013: 271-281 - [c6]Stefan Heber, René Ranftl, Thomas Pock:
Variational Shape from Light Field. EMMCVPR 2013: 66-79 - [c5]David Ferstl, René Ranftl, Matthias Rüther, Horst Bischof:
Multi-modality depth map fusion using primal-dual optimization. ICCP 2013: 1-8 - [c4]David Ferstl, Christian Reinbacher, René Ranftl, Matthias Rüther, Horst Bischof:
Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation. ICCV 2013: 993-1000 - [c3]René Ranftl, Thomas Pock, Horst Bischof:
Minimizing TGV-Based Variational Models with Non-convex Data Terms. SSVM 2013: 282-293 - 2012
- [c2]Stefan Heber, René Ranftl, Thomas Pock:
Approximate Envelope Minimization for Curvature Regularity. ECCV Workshops (3) 2012: 283-292 - [c1]René Ranftl, Stefan Gehrig, Thomas Pock, Horst Bischof:
Pushing the limits of stereo using variational stereo estimation. Intelligent Vehicles Symposium 2012: 401-407
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-20 22:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
