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Nadine Behrmann
Nadine Behrmann
Applied Scientist at Amazon
Bestätigte E-Mail-Adresse bei amazon.de
Titel
Zitiert von
Zitiert von
Jahr
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
262021
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
262021
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
102022
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
72022
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
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