Michael Hofmann

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 13

Top Topics

Semantic Segmentation

Top Venues

ECCV Workshops (1)

Publications

Martin Landesberger, Oguz Kedilioglu, Lijiu Wang, Weimin Gan, Joana Rebelo Kornmeier, Sebastian Reitelshöfer, Jörg Franke, Michael Hofmann
High-Precision Visual Servoing for the Neutron Diffractometer STRESS-SPEC at MLZ. Sensors 24 (9) (2024)
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Michael Hofmann
Theoretical and practical influences of Habermas's global academic best seller: structural transformation of the public sphere in the United States. Kybernetes 50 (4) (2021)
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. CoRR (2020)
Erik Stammes, Tom F. H. Runia, Michael Hofmann, Mohsen Ghafoorian
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation. CoRR (2020)
Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. ICCV Workshops (2019)
Patrick P. Neumann, Paul Hirschberger, Zhandos Baurzhan, Carlo Tiebe, Michael Hofmann, Dino Hüllmann, Matthias Bartholmai
Indoor Air Quality Monitoring using flying Nanobots: Design and Experimental Study. ISOEN (2019)
Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. CoRR (2019)
Michael Hofmann
Web-based delivery and volume visualization of 30TB of high resolution tomography data. Web3D (2019)
Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection. CoRR (2018)
Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection. ECCV Workshops (1) (2018)
Sindi Shkodrani, Michael Hofmann, Efstratios Gavves
Dynamic Adaptation on Non-stationary Visual Domains. ECCV Workshops (2) (2018)
Sindi Shkodrani, Michael Hofmann, Efstratios Gavves
Dynamic Adaptation on Non-Stationary Visual Domains. CoRR (2018)
Günther Specht, Michael Hofmann
Auswertung der Migration eines Multimedia-Informationssystems von einem relationalen auf ein objektorientiertes Datenbanksystem. GI Jahrestagung (1996)