| Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M Noroozi, P Favaro European Conference on Computer Vision (ECCV), 2016 | 2469 | 2016 |
| Representation Learning by Learning to Count M Noroozi, H Pirsiavash, P Favaro IEEE International Conference on Computer Vision(ICCV), 2017 | 365 | 2017 |
| Boosting Self-Supervised Learning via Knowledge Transfer M Noroozi, A Vinjimoor, P Favaro, H Pirsiavash IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018 | 286 | 2018 |
| Motion Deblurring in the Wild M Noroozi, P Chandramouli, P Favaro German Conference on Pattern Recognition(GCPR), 2017 | 132 | 2017 |
| ConvNet-based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images P Chandramouli, M Noroozi, P Favaro Asian Conference on Computer Vision (ACCV), 2016 | 29 | 2016 |
| Long Short View Feature Decomposition via Contrastive Video Representation Learning N Behrmann, M Fayyaz, J Gall, M Noroozi ICCV, 2021 | 25 | 2021 |
| Unsupervised Video Representation Learning by Bidirectional Feature Prediction N Behrmann, J Gall, M Noroozi WACV, 2021 | 22 | 2021 |
| 3D CNNs with Adaptive Temporal Feature Resolutions M Fayyaz, EB Rad, A Diba, M Noroozi, E Adeli, L Van Gool, J Gall CVPR, 2021 | 14 | 2021 |
| Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives DT Hoffmann, N Behrmann, J Gall, T Brox, M Noroozi AAAI, 2022 | 7 | 2022 |
| Self-labeled conditional gans M Noroozi arXiv preprint arXiv:2012.02162, 2020 | 6 | 2020 |
| Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation N Behrmann, SA Golestaneh, Z Kolter, J Gall, M Noroozi ECCV, 2022 | 3 | 2022 |
| TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction MS Pourheydari, M Fayyaz, E Bahrami, M Noroozi, J Gall BMVC, 2022 | 1 | 2022 |
| 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 |
| CASCADED CLUSTER - GENERATOR NETWORKS FOR GENERATING SYNTHETIC IMAGES M Noroozi US Patent App. 17/374,529, 2022 | | 2022 |
Paolo FavaroProfessor of Computer Vision, University of BernDirección de correo verificada de iam.unibe.ch
