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Jonas Uhrig
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2020 – today
- 2023
- [c6]Andreas Bär, Jonas Uhrig, Jeethesh Pai Umesh, Marius Cordts, Tim Fingscheidt:
A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection. CVPR Workshops 2023: 3851-3860
2010 – 2019
- 2018
- [c5]Jonas Uhrig, Eike Rehder, Björn Fröhlich, Uwe Franke, Thomas Brox:
Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes. Intelligent Vehicles Symposium 2018: 292-299 - 2017
- [c4]Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger:
Sparsity Invariant CNNs. 3DV 2017: 11-20 - [c3]Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres:
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. CVPR 2017: 1904-1912 - [c2]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR 2017: 5622-5631 - [i3]Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger:
Sparsity Invariant CNNs. CoRR abs/1708.06500 (2017) - 2016
- [c1]Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox:
Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling. GCPR 2016: 14-25 - [i2]Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox:
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling. CoRR abs/1604.05096 (2016) - [i1]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR abs/1612.02401 (2016)
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