| 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 | 398 | 2018 |
| Convolutional CRFs for semantic segmentation MTT Teichmann, R Cipolla arXiv preprint arXiv:1805.04777, 2018 | 49 | 2018 |
| Detect-to-retrieve: Efficient regional aggregation for image search M Teichmann, A Araujo, M Zhu, J Sim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 35 | 2019 |
| Pixel-wise segmentation of street with neural networks S Bittel, V Kaiser, M Teichmann, M Thoma arXiv preprint arXiv:1511.00513, 2015 | 25 | 2015 |
| 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 | 20 | 2018 |
| 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 | 6 | 2019 |
| Convolutional CRFs for semantic segmentation. arXiv 2018 MTT Teichmann, R Cipolla arXiv preprint arXiv:1805.04777, 0 | 5 | |
| MultiNet: Real-Time Joint Semantic Reasoning for Autonomous Driving. 2016 M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun | 3 | 2012 |
| Deep Structured Multi-Task Learning for Computer Vision in Autonomous Driving M Teichmann University of Cambridge, 2020 | | 2020 |
