René Ranftl

Intel (United States) — United States

Computer Science · Physical Sciences

27h-index4.9kcitations60works0.02yr avg
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Research Topics

Advanced Vision and Imaging(19), Robotics and Sensor-Based Localization(14), Optical measurement and interference techniques(8), Advanced Image Processing Techniques(8), Advanced Neural Network Applications(7)

Publications60 total

Monocular Visual-Inertial Depth Estimation
2023· 14 cited
Monocular Visual-Inertial Depth Estimation
arXiv (Cornell University)·2023· 2 citedOpen Access
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
arXiv (Cornell University)·2022· 5 citedOpen Access
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
Repository for Publications and Research Data (ETH Zurich)·2022· 1.1k citedOpen Access
Language-driven Semantic Segmentation
arXiv (Cornell University)·2022· 162 citedOpen Access
Transferable End-to-end Room Layout Estimation via Implicit Encoding
arXiv (Cornell University)·2021· 2 citedOpen Access
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
Oxford University Research Archive (ORA) (University of Oxford)·2021· 12 cited
Constrained stochastic optimal control with learned importance sampling: A path integral approach
The International Journal of Robotics Research·2021· 23 citedOpen Access
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
arXiv (Cornell University)·2021Open Access
Vision Transformers for Dense Prediction
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 44 citedOpen Access
Jointly Learning Identification and Control for Few-Shot Policy Adaptation
2021
Deep Drone Acrobatics (Extended Abstract)
2021· 2 citedOpen Access
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
2021· 14 citedOpen Access
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
arXiv (Cornell University)·2021· 1 citedOpen Access
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021).
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Learning high-speed flight in the wild
Zurich Open Repository and Archive (University of Zurich)·2021· 26 citedOpen Access
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
IEEE Transactions on Pattern Analysis and Machine Intelligence·2021· 10 citedOpen Access
Deep Drone Acrobatics
2020· 7 citedOpen Access
High-Dimensional Convolutional Networks for Geometric Pattern Recognition
2020· 1 citedOpen Access
High-dimensional Convolutional Networks for Geometric Pattern\n Recognition
arXiv (Cornell University)·2020Open Access
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Frequent Co-authors

Vladlen Koltun(25), Thomas Pock(12), Davide Scaramuzza(9), Horst Bischof(6), Elia Kaufmann(6), Alexey Dosovitskiy(6), Marco Hutter(6), Antonio Loquercio(5), Stephan R. Richter(3), Thomas Brox(3), Henri Rebecq(3), Yunjin Chen(3), Jan Carius(3), Farbod Farshidian(3), Matthias Müller(3), Kaicheng Yu(3), Mathieu Salzmann(3), Katrin Lasinger(2), Konrad Schindler(2), David Ferstl(2)