Approximate Envelope Minimization for Curvature Regularity. - Stefan Heber; René Ranftl; Thomas Pock (ECCV Workshops (3), 2012)

Pushing the limits of stereo using variational stereo estimation. - René Ranftl; Stefan Gehrig; Thomas Pock; Horst Bischof (Intelligent Vehicles Symposium, 2012)

Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration. - Yunjin Chen; Thomas Pock; René Ranftl; Horst Bischof (GCPR, 2013)

Variational Shape from Light Field. - Stefan Heber; René Ranftl; Thomas Pock (EMMCVPR, 2013)

Multi-modality depth map fusion using primal-dual optimization. - David Ferstl; René Ranftl; Matthias Rüther; Horst Bischof (ICCP, 2013)

Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation. - David Ferstl; Christian Reinbacher; René Ranftl; Matthias Rüther; Horst Bischof (ICCV, 2013)

Minimizing TGV-Based Variational Models with Non-convex Data Terms. - René Ranftl; Thomas Pock; Horst Bischof (SSVM, 2013)

A Deep Variational Model for Image Segmentation. - René Ranftl; Thomas Pock (GCPR, 2014)

Non-local Total Generalized Variation for Optical Flow Estimation. - René Ranftl; Kristian Bredies; Thomas Pock (ECCV (1), 2014)

A bi-level view of inpainting - based image compression. - Yunjin Chen; René Ranftl; Thomas Pock (CoRR, 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)

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)

Depth Restoration via Joint Training of a Global Regression Model and CNNs. - Gernot Riegler; René Ranftl; Matthias Rüther; Thomas Pock; Horst Bischof (BMVC, 2015)

Bilevel Optimization with Nonsmooth Lower Level Problems. - Peter Ochs; René Ranftl; Thomas Brox; Thomas Pock (SSVM, 2015)

Dense Monocular Depth Estimation in Complex Dynamic Scenes. - René Ranftl; Vibhav Vineet; Qifeng Chen; Vladlen Koltun (CVPR, 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)

Accurate Optical Flow via Direct Cost Volume Processing. - Jia Xu; René Ranftl; Vladlen Koltun (CVPR, 2017)

Deep Drone Racing: Learning Agile Flight in Dynamic Environments. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (CoRL, 2018)

Deep Fundamental Matrix Estimation. - René Ranftl; Vladlen Koltun (ECCV (1), 2018)

Trajectory Optimization With Implicit Hard Contacts. - Jan Carius; René Ranftl; Vladlen Koltun; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2018)

Events-To-Video: Bringing Modern Computer Vision to Event Cameras. - Henri Rebecq; René Ranftl; Vladlen Koltun; Davide Scaramuzza 001 (CVPR, 2019)

What Do Single-View 3D Reconstruction Networks Learn? - Maxim Tatarchenko; Stephan R. Richter; René Ranftl; Zhuwen Li; Vladlen Koltun; Thomas Brox (CVPR, 2019)

Deep Layers as Stochastic Solvers. - Adel Bibi; Bernard Ghanem; Vladlen Koltun; René Ranftl (ICLR (Poster), 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 (ICRA, 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 001 (ICRA, 2019)

Feedback MPC for Torque-Controlled Legged Robots. - Ruben Grandia; Farbod Farshidian; René Ranftl; Marco Hutter 001 (IROS, 2019)

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. - Katrin Lasinger; René Ranftl; Konrad Schindler; Vladlen Koltun (CoRR, 2019)

Trajectory Optimization for Legged Robots With Slipping Motions. - Jan Carius; René Ranftl; Vladlen Koltun; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2019)

Frequency-Aware Model Predictive Control. - Ruben Grandia; Farbod Farshidian; Alexey Dosovitskiy; René Ranftl; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2019)

Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning. - Lorenz Wellhausen; Alexey Dosovitskiy; René Ranftl; Krzysztof Walas; Cesar Cadena 001; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2019)

High-Dimensional Convolutional Networks for Geometric Pattern Recognition. - Christopher B. Choy; Junha Lee; René Ranftl; Jaesik Park; Vladlen Koltun (CVPR, 2020)

Deep Drone Acrobatics. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Robotics: Science and Systems, 2020)

How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (CoRR, 2020)

Safe Robot Navigation Via Multi-Modal Anomaly Detection. - Lorenz Wellhausen; René Ranftl; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2020)

Deep Drone Racing: From Simulation to Reality With Domain Randomization. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2020)

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (CVPR, 2021)

Vision Transformers for Dense Prediction. - René Ranftl; Alexey Bochkovskiy; Vladlen Koltun (ICCV, 2021)

Deep Drone Acrobatics (Extended Abstract). - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (IJCAI, 2021)

Looking Beyond Single Images for Contrastive Semantic Segmentation Learning. - Feihu Zhang; Philip H. S. Torr; René Ranftl; Stephan R. Richter (NeurIPS, 2021)

Transferable End-to-end Room Layout Estimation via Implicit Encoding. - Hao Zhao 002; René Ranftl; Yurong Chen 001; Hongbin Zha (CoRR, 2021)

High Speed and High Dynamic Range Video with an Event Camera. - Henri Rebecq; René Ranftl; Vladlen Koltun; Davide Scaramuzza 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning high-speed flight in the wild. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 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 001; Vladlen Koltun; Davide Scaramuzza 001 (Zenodo, 2021)

Language-driven Semantic Segmentation. - Boyi Li; Kilian Q. Weinberger; Serge J. Belongie; Vladlen Koltun; René Ranftl (ICLR, 2022)

Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. - Feihu Zhang; Vladlen Koltun; Philip H. S. Torr; René Ranftl; Stephan R. Richter (CoRR, 2022)

Constrained stochastic optimal control with learned importance sampling: A path integral approach. - Jan Carius; René Ranftl; Farbod Farshidian; Marco Hutter 001 (Int. J. Robotics Res., 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)

An Analysis of Super-Net Heuristics in Weight-Sharing NAS. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Monocular Visual-Inertial Depth Estimation. - Diana Wofk; René Ranftl; Matthias Müller 011; Vladlen Koltun (ICRA, 2023)