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ORCIDTobias Gruber
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2020 – today
- 2020
[b1]Tobias Gruber:
Real-time super-resolved depth estimation for self-driving cars from multiple gated images. University of Ulm, Germany, 2020, ISBN 978-3-941543-54-6, pp. 1-171- [c11]Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter, Klaus Dietmayer, Felix Heide:
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather. CVPR 2020: 11679-11689 - [c10]Matti Kutila, Pasi Pyykönen, Maria Jokela, Tobias Gruber, Mario Bijelic, Werner Ritter:
Benchmarking Automotive LiDAR Performance in Arctic Conditions. ITSC 2020: 1-8 - [c9]Stefanie Walz, Tobias Gruber, Werner Ritter, Klaus Dietmayer:
Uncertainty depth estimation with gated images for 3D reconstruction. ITSC 2020: 1-8 - [i9]Stefanie Walz, Tobias Gruber, Werner Ritter, Klaus Dietmayer:
Uncertainty depth estimation with gated images for 3D reconstruction. CoRR abs/2003.05122 (2020)
2010 – 2019
- 2019
- [c8]Tobias Gruber
, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer:
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios. 3DV 2019: 95-105 - [c7]Mario Bijelic, Paula Kysela, Tobias Gruber, Werner Ritter, Klaus Dietmayer:
Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog. CVPR Workshops 2019: 11-21 - [c6]Tobias Gruber, Frank D. Julca-Aguilar, Mario Bijelic, Felix Heide:
Gated2Depth: Real-Time Dense Lidar From Gated Images. ICCV 2019: 1506-1516 - [i8]Tobias Gruber, Frank D. Julca-Aguilar, Mario Bijelic, Werner Ritter, Klaus Dietmayer, Felix Heide:
Gated2Depth: Real-time Dense Lidar from Gated Images. CoRR abs/1902.04997 (2019) - [i7]Mario Bijelic, Fahim Mannan, Tobias Gruber, Werner Ritter, Klaus Dietmayer, Felix Heide:
Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data. CoRR abs/1902.08913 (2019) - [i6]Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer:
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios. CoRR abs/1906.08953 (2019) - [i5]Tobias Gruber, Mariia Kokhova, Werner Ritter, Norbert Haala, Klaus Dietmayer:
Learning Super-resolved Depth from Active Gated Imaging. CoRR abs/1912.02889 (2019) - [i4]Mario Bijelic, Tobias Gruber, Werner Ritter:
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving. CoRR abs/1912.03238 (2019) - [i3]Mario Bijelic, Tobias Gruber, Werner Ritter:
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down? CoRR abs/1912.03251 (2019) - 2018
- [c5]Tobias Gruber, Mariia Kokhova, Werner Ritter, Norbert Haala, Klaus Dietmayer:
Learning Super-resolved Depth from Active Gated Imaging. ITSC 2018: 3051-3058 - [c4]Mario Bijelic, Tobias Gruber, Werner Ritter:
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down? Intelligent Vehicles Symposium 2018: 760-767 - [c3]Mario Bijelic, Tobias Gruber, Werner Ritter:
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving. Intelligent Vehicles Symposium 2018: 1773-1779 - 2017
- [c2]Tobias Gruber, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink:
On deep learning-based channel decoding. CISS 2017: 1-6 - [c1]Sebastian Cammerer, Tobias Gruber, Jakob Hoydis, Stephan ten Brink:
Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning. GLOBECOM 2017: 1-6 - [i2]Tobias Gruber, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink:
On Deep Learning-Based Channel Decoding. CoRR abs/1701.07738 (2017) - [i1]Sebastian Cammerer, Tobias Gruber, Jakob Hoydis, Stephan ten Brink:
Scaling Deep Learning-based Decoding of Polar Codes via Partitioning. CoRR abs/1702.06901 (2017)
Coauthor Index
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