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2020 – today
- 2020
[b1]Konrad Gadzicki:
Modeling of bio-inspired pattern recognition: from V1 models to sensorimotor representations. University of Bremen, Germany, 2020, pp. 1-174- [c7]Konrad Gadzicki, Razieh Khamsehashari, Christoph Zetzsche:
Early vs Late Fusion in Multimodal Convolutional Neural Networks. FUSION 2020: 1-6 - [c6]Celeste Mason, Konrad Gadzicki, Moritz Meier, Florian Ahrens
, Thorsten Kluss, Jaime Maldonado, Felix Putze, Thorsten Fehr, Christoph Zetzsche, Manfred Herrmann, Kerstin Schill, Tanja Schultz:
From Human to Robot Everyday Activity. IROS 2020: 8997-9004
2010 – 2019
- 2019
- [c5]Razieh Khamsehashari, Konrad Gadzicki, Christoph Zetzsche:
Deep Residual Temporal Convolutional Networks for Skeleton-Based Human Action Recognition. ICVS 2019: 376-385 - 2014
- [c4]Christof Büskens, Joachim Clemens, Bernd Eissfeller, Roger Förstner, Konrad Gadzicki, Graciela Gonzales Peytavi, Patrick Lange, David Nakath, Alena Probst, Carsten Rachuy, Kerstin Schill, Anne Schattel, Verena Schwarting, Abhishek Srinivas, Mitja Wöbbekind, Gabriel Zachmann:
Virtual Reality for Simulating Autonomous Deep-Space Navigation and Mining. ICAT-EGVE (Posters and Demos) 2014 - 2013
- [c3]Christoph Zetzsche, Konrad Gadzicki, Tobias Kluth:
Statistical Invariants of Spatial Form: From Local AND to Numerosity. SHAPES 2013: 163-172 - 2010
- [c2]Thomas Reineking, Johannes Wolter, Konrad Gadzicki, Christoph Zetzsche:
Bio-inspired Architecture for Active Sensorimotor Localization. Spatial Cognition 2010: 163-178
2000 – 2009
- 2009
- [c1]Konrad Gadzicki:
Hierarchical Clustering of Sensorimotor Features. KI 2009: 331-338
Coauthor Index
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