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Jörg Wagner
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Jörg Wagner 0001 — ETH Zürich, Switzerland
- Jörg Wagner 0002 — TU Dresden, Germany
- Jörg Wagner 0003 — NEC Laboratories Europe
- Jörg Wagner 0004 — Uni Halle-Wittenberg, Germanistisches Institut, Germany
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2020 – today
- 2024
- [i8]Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada:
Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving. CoRR abs/2410.01628 (2024) - 2023
- [b1]Jörg Wagner:
Robust and Interpretable Visual Perception Using Deep Neural Networks. University of Bonn, Germany, 2023 - [i7]Ali Keysan, Andreas Look, Eitan Kosman, Gonca Gürsun, Jörg Wagner, Yu Yao, Barbara Rakitsch:
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving. CoRR abs/2309.05282 (2023) - 2022
- [j3]Michael Herman
, Jörg Wagner
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. IEEE Trans. Intell. Transp. Syst. 23(9): 14922-14937 (2022) - 2020
- [i6]Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser:
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. CoRR abs/2012.08418 (2020)
2010 – 2019
- 2019
- [c10]Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. CVPR 2019: 9097-9107 - [i5]Huang Xiao, Michael Herman, Jörg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh:
Wasserstein Adversarial Imitation Learning. CoRR abs/1906.08113 (2019) - [i4]Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke:
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. CoRR abs/1908.02686 (2019) - 2018
- [c9]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. BMVC 2018: 282 - [c8]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. ESANN 2018 - [i3]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. CoRR abs/1810.02766 (2018) - [i2]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. CoRR abs/1810.03867 (2018) - 2017
- [c7]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Learning Semantic Prediction using Pretrained Deep Feedforward Networks. ESANN 2017 - [c6]Jörg Wagner, Simon Pezold
Model-Driven 3-D Regularisation for Robust Segmentation of the Refractive Corneal Surfaces in Spiral OCT Scans. FIFI/OMIA@MICCAI 2017: 109-117 - 2016
- [c5]Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard:
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. AISTATS 2016: 102-110 - [c4]Michael Herman
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis. Australasian Conference on Artificial Intelligence 2016: 525-534 - [c3]Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard:
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations. ESANN 2016 - [c2]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. ESANN 2016 - [i1]Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard:
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. CoRR abs/1604.03912 (2016) - 2015
- [j2]Johannes Pallauf, Jörg Wagner, Fernando Puente León:
Evaluation of State-Dependent Pedestrian Tracking Based on Finite Sets. IEEE Trans. Instrum. Meas. 64(5): 1284-1292 (2015)
2000 – 2009
- 2008
- [j1]Jörg Wagner, Ying-Chang Liang
On the balance of multiuser diversity and spatial multiplexing gain in random beamforming. IEEE Trans. Wirel. Commun. 7(7): 2512-2525 (2008) - 2006
- [c1]Jörg Wagner, Ying-Chang Liang
Random Beamforming with Systematic Beam Selection. PIMRC 2006: 1-5
Coauthor Index
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