Ranftl, Rene

14 publications

ICLR 2022 Language-Driven Semantic Segmentation Boyi Li, Kilian Q Weinberger, Serge Belongie, Vladlen Koltun, Rene Ranftl

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

CVPR 2021 Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search Kaicheng Yu, Rene Ranftl, Mathieu Salzmann

NeurIPS 2021 Looking Beyond Single Images for Contrastive Semantic Segmentation Learning Feihu Zhang, Philip Torr, Rene Ranftl, Stephan Richter

ICCV 2021 Vision Transformers for Dense Prediction René Ranftl, Alexey Bochkovskiy, Vladlen Koltun

ICLR 2019 Deep Layers as Stochastic Solvers Adel Bibi, Bernard Ghanem, Vladlen Koltun, Rene Ranftl

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

ECCV 2018 Deep Fundamental Matrix Estimation Rene Ranftl, Vladlen Koltun

CVPR 2017 Accurate Optical Flow via Direct Cost Volume Processing Jia Xu, Rene Ranftl, Vladlen Koltun

CVPR 2016 Dense Monocular Depth Estimation in Complex Dynamic Scenes Rene Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun

ECCV 2014 Non-Local Total Generalized Variation for Optical Flow Estimation René Ranftl, Kristian Bredies, Thomas Pock

ICCV 2013 Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation David Ferstl, Christian Reinbacher, Rene Ranftl, Matthias Ruether, Horst Bischof

ECCV 2012 Approximate Envelope Minimization for Curvature Regularity Stefan Heber, René Ranftl, Thomas Pock

ECCVW 2012 Approximate Envelope Minimization for Curvature Regularity Stefan Heber, René Ranftl, Thomas Pock