Ren Ranftl
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2012–2023
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICRA | Monocular Visual-Inertial Depth Estimation. | Diana Wofk, Ren Ranftl, Matthias Mller, Vladlen Koltun |
| 2022 | ICLR | Language-driven Semantic Segmentation. | Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, Ren Ranftl |
| 2021 | CVPR | Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. | Kaicheng Yu, Ren Ranftl, Mathieu Salzmann |
| 2021 | ICCV | Vision Transformers for Dense Prediction. | Ren Ranftl, Alexey Bochkovskiy, Vladlen Koltun |
| 2021 | IJCAI | Deep Drone Acrobatics (Extended Abstract). | Elia Kaufmann, Antonio Loquercio, Ren Ranftl, Matthias Mller, Vladlen Koltun, Davide Scaramuzza |
| 2020 | CVPR | High-Dimensional Convolutional Networks for Geometric Pattern Recognition. | Christopher B. Choy, Junha Lee, Ren Ranftl, Jaesik Park, Vladlen Koltun |
| 2019 | CVPR | Events-To-Video: Bringing Modern Computer Vision to Event Cameras. | Henri Rebecq, Ren Ranftl, Vladlen Koltun, Davide Scaramuzza |
| 2019 | CVPR | What Do Single-View 3D Reconstruction Networks Learn? | Maxim Tatarchenko, Stephan R. Richter, Ren Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox |
| 2019 | ICLR | Deep Layers as Stochastic Solvers. | Adel Bibi, Bernard Ghanem, Vladlen Koltun, Ren Ranftl |
| 2019 | ICRA | Learning to Predict the Wind for Safe Aerial Vehicle Planning. | Florian Achermann, Nicholas R. J. Lawrance, Ren Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart |
| 2019 | ICRA | Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. | Elia Kaufmann, Mathias Gehrig, Philipp Foehn, Ren Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza |
| 2019 | IROS | Feedback MPC for Torque-Controlled Legged Robots. | Ruben Grandia, Farbod Farshidian, Ren Ranftl, Marco Hutter |
| 2018 | CoRL | Deep Drone Racing: Learning Agile Flight in Dynamic Environments. | Elia Kaufmann, Antonio Loquercio, Ren Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza |
| 2018 | ECCV | Deep Fundamental Matrix Estimation. | Ren Ranftl, Vladlen Koltun |
| 2017 | CVPR | Accurate Optical Flow via Direct Cost Volume Processing. | Jia Xu, Ren Ranftl, Vladlen Koltun |
| 2016 | CVPR | Dense Monocular Depth Estimation in Complex Dynamic Scenes. | Ren Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun |
| 2015 | BMVC | Depth Restoration via Joint Training of a Global Regression Model and CNNs. | Gernot Riegler, Ren Ranftl, Matthias Rther, Thomas Pock, Horst Bischof |
| 2014 | ECCV | Non-local Total Generalized Variation for Optical Flow Estimation. | Ren Ranftl, Kristian Bredies, Thomas Pock |
| 2013 | ICCP | Multi-modality depth map fusion using primal-dual optimization. | David Ferstl, Ren Ranftl, Matthias Rther, Horst Bischof |
| 2013 | ICCV | Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation. | David Ferstl, Christian Reinbacher, Ren Ranftl, Matthias Rther, Horst Bischof |
| 2012 | ECCV | Approximate Envelope Minimization for Curvature Regularity. | Stefan Heber, Ren Ranftl, Thomas Pock |