| Long short view feature decomposition via contrastive video representation learning N Behrmann, M Fayyaz, J Gall, M Noroozi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26 | 2021 |
| Unsupervised video representation learning by bidirectional feature prediction N Behrmann, J Gall, M Noroozi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 26 | 2021 |
| Ranking info noise contrastive estimation: Boosting contrastive learning via ranked positives DT Hoffmann, N Behrmann, J Gall, T Brox, M Noroozi Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 897-905, 2022 | 10 | 2022 |
| Unified fully and timestamp supervised temporal action segmentation via sequence to sequence translation N Behrmann, SA Golestaneh, Z Kolter, J Gall, M Noroozi Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 8 | 2022 |
| Self-Supervised Video Representation Learning and Downstream Applications N Behrmann Universitäts-und Landesbibliothek Bonn, 2023 | | 2023 |
| Method for coding a sequence of video images M Noroozi, M Fayyaz, N Behrmann US Patent App. 17/859,611, 2023 | | 2023 |
| Contrastive representation learning for measurement data D Hoffmann, M Noroozi, N Behrmann US Patent App. 17/812,211, 2023 | | 2023 |
| Unsupervised training of a video feature extractor M Noroozi, N Behrmann US Patent App. 17/449,184, 2022 | | 2022 |
| Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation Supplementary Material N Behrmann, SA Golestaneh, Z Kolter, J Gall, M Noroozi | | |
| Meta-Learning Runge-Kutta N Behrmann, P Schramowski, K Kersting | | |
Mehdi NorooziSamsung AI CambridgeDirección de correo verificada de samsung.com
