Marvin Teichmann
Title
Cited by
Cited by
Year
Multinet: Real-time joint semantic reasoning for autonomous driving
M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun
2018 IEEE Intelligent Vehicles Symposium (IV), 1013-1020, 2018
3522018
Convolutional CRFs for semantic segmentation
MTT Teichmann, R Cipolla
arXiv preprint arXiv:1805.04777, 2018
402018
Detect-to-retrieve: Efficient regional aggregation for image search
M Teichmann, A Araujo, M Zhu, J Sim
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
292019
Pixel-wise segmentation of street with neural networks
S Bittel, V Kaiser, M Teichmann, M Thoma
arXiv preprint arXiv:1511.00513, 2015
252015
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
S Bodenstedt, M Allan, A Agustinos, X Du, L Garcia-Peraza-Herrera, ...
arXiv preprint arXiv:1805.02475, 2018
142018
Multinet: Real-time joint semantic reasoning for autonomous driving. arXiv 2016
M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun
arXiv preprint arXiv:1612.07695, 0
7
Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression
I Budvytis, M Teichmann, T Vojir, R Cipolla
arXiv preprint arXiv:1909.10239, 2019
32019
MultiNet: Real-Time Joint Semantic Reasoning for Autonomous Driving. 2016
M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun
32012
Deep Structured Multi-Task Learning for Computer Vision in Autonomous Driving
M Teichmann
University of Cambridge, 2020
2020
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Articles 1–9