Michael Weber - RankMe

26 papers B 5C 6Journal 6Unranked 9

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Adversarial Vulnerability of Temporal Feature Networks for Object Detection. ECCV Workshops (5) Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
2022	J	`jnl`	Adversarial Vulnerability of Temporal Feature Networks for Object Detection. CoRR Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
2021	J	`jnl`	Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
2021	C	`conf`	Temporal Feature Networks for CNN based Object Detection. IV Michael Weber, Tassilo Wald, J. Marius Zöllner
2021	J	`jnl`	Temporal Feature Networks for CNN based Object Detection. CoRR Michael Weber, Tassilo Wald, J. Marius Zöllner
2020	C	`conf`	Automated Focal Loss for Image based Object Detection. IV Michael Weber, Michael Fürst, J. Marius Zöllner
2020	C	`conf`	Runtime Optimization of a CNN Model for Environment Perception. IV Michael Weber, Christof Wendenius, J. Marius Zöllner
2020	—	`conf`	Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. CVPR Workshops Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner
2019	J	`jnl`	Automated Focal Loss for Image based Object Detection. CoRR Michael Weber, Michael Fürst, J. Marius Zöllner
2019	C	`conf`	Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images. IV Nils Gählert, Jun-Jun Wan, Michael Weber, J. Marius Zöllner, Uwe Franke, Joachim Denzler
2019	—	`conf`	CNN based Multi-View Object Detection and Association. ITSC Michael Weber, Lucas Volkert, Christian Hubschneider, J. Marius Zöllner
2019	C	`conf`	Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder. IV Michael Weber, Michael Fürst, J. Marius Zöllner
2018	—	`conf`	HDTLR: A CNN based Hierarchical Detector for Traffic Lights. ITSC Michael Weber, Matthias Huber, J. Marius Zöllner
2018	B	`conf`	MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. Intelligent Vehicles Symposium Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun
2018	C	`conf`	Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg. IAS Tobias Fleck, Karam Daaboul, Michael Weber, Philip Schörner, Marek Wehmer, Jens Doll, Stefan Orf, Nico Sußmann, Christian Hubschneider, Marc René Zofka, Florian Kuhnt, Ralf Kohlhaas, Ingmar Baumgart, Raoul Zöllner, J. Marius Zöllner
2017	—	`conf`	Adding navigation to the equation: Turning decisions for end-to-end vehicle control. ITSC Christian Hubschneider, André Bauer, Michael Weber, J. Marius Zöllner
2017	B	`conf`	Estimating high definition map parameters with convolutional neural networks. SMC Sebastian Bittel, Timo Rehfeld, Michael Weber, J. Marius Zöllner
2017	J	`jnl`	Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps. CoRR Florian Piewak, Timo Rehfeld, Michael Weber, J. Marius Zöllner
2017	B	`conf`	Fully convolutional neural networks for dynamic object detection in grid maps. Intelligent Vehicles Symposium Florian Piewak, Timo Rehfeld, Michael Weber, Johann Marius Zöllner
2017	—	`conf`	Integrating end-to-end learned steering into probabilistic autonomous driving. ITSC Christian Hubschneider, André Bauer, Jens Doll, Michael Weber, Sebastian Klemm, Florian Kuhnt, J. Marius Zöllner
2017	B	`conf`	Learning how to drive in a real world simulation with deep Q-Networks. Intelligent Vehicles Symposium Peter Wolf, Christian Hubschneider, Michael Weber, André Bauer, Jonathan Härtl, Fabian Duerr, Johann Marius Zöllner
2017	—	`conf`	Learning temporal features with CNNs for monocular visual ego motion estimation. ITSC Michael Weber, Christoph Rist, J. Marius Zöllner
2016	—	`conf`	Autonomous multi-story navigation for valet parking. ITSC Sebastian Klemm, Marc Essinger, Jan Oberländer, Marc Rene Zofka, Florian Kuhnt, Michael Weber, Ralf Kohlhaas, Alexander Kohs, Arne Roennau, Thomas Schamm, Johann Marius Zöllner
2016	B	`conf`	DeepTLR: A single deep convolutional network for detection and classification of traffic lights. Intelligent Vehicles Symposium Michael Weber, Peter Wolf, J. Marius Zöllner
2016	J	`jnl`	MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. CoRR Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun
2016	—	`conf`	Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks. SIMPAR Jacques Kaiser, Juan Camilo Vasquez Tieck, Christian Hubschneider, Peter Wolf, Michael Weber, Michael Hoff, Alexander Friedrich, Konrad Wojtasik, Arne Roennau, Ralf Kohlhaas, Rüdiger Dillmann, Johann Marius Zöllner