Michael Hofmann
Michael Hofmann
Machine Learning R&D, TomTom
Verified email at tomtom.com
Cited by
Cited by
Multi-view 3d human pose estimation in complex environment
M Hofmann, DM Gavrila
International journal of computer vision 96 (1), 103-124, 2012
Multi-view 3d human pose estimation combining single-frame recovery, temporal integration and model adaptation
M Hofmann, DM Gavrila
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2214-2221, 2009
EL-GAN: embedding loss driven generative adversarial networks for lane detection
M Ghafoorian, C Nugteren, N Baka, O Booij, M Hofmann
European Conference on Computer Vision, 256-272, 2018
3D Human model adaptation by frame selection and shape–texture optimization
M Hofmann, DM Gavrila
Computer Vision and Image Understanding 115 (11), 1559-1570, 2011
Single-frame 3D human pose recovery from multiple views
M Hofmann, DM Gavrila
Joint Pattern Recognition Symposium, 71-80, 2009
Dynamic Adaptation on Non-stationary Visual Domains
S Shkodrani, M Hofmann, E Gavves
European Conference on Computer Vision, 158-171, 2018
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation
L Samson, N van Noord, O Booij, M Hofmann, E Gavves, M Ghafoorian
https://arxiv.org/abs/1908.02711, 2019
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