Jörg Wagner

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 18

Top Topics

Convolutional Neural Networks

Inverse Reinforcement Learning

Pedestrian Tracking

Top Venues

IEEE Trans. Instrum. Meas.

Publications

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 (2023)
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. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Michael Herman, Jörg Wagner, Vishnu 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 (2020)
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 (2019)
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)
Huang Xiao, Michael Herman, Jörg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh
Wasserstein Adversarial Imitation Learning. CoRR (2019)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. ESANN (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. BMVC (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. CoRR (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. CoRR (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Learning Semantic Prediction using Pretrained Deep Feedforward Networks. ESANN (2017)
Jörg Wagner, Simon Pezold, Philippe C. Cattin
Model-Driven 3-D Regularisation for Robust Segmentation of the Refractive Corneal Surfaces in Spiral OCT Scans. FIFI/OMIA@MICCAI (2017)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. AISTATS (2016)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. ESANN (2016)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. CoRR (2016)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations. ESANN (2016)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis. Australasian Conference on Artificial Intelligence (2016)
Johannes Pallauf, Jörg Wagner, Fernando Puente León
Evaluation of State-Dependent Pedestrian Tracking Based on Finite Sets. IEEE Trans. Instrum. Meas. 64 (5) (2015)
Jörg Wagner, Ying-Chang Liang, Rui Zhang
On the balance of multiuser diversity and spatial multiplexing gain in random beamforming. IEEE Trans. Wirel. Commun. 7 (7) (2008)
Jörg Wagner, Ying-Chang Liang, Rui Zhang
Random Beamforming with Systematic Beam Selection. PIMRC (2006)