| Everything at once-multi-modal fusion transformer for video retrieval N Shvetsova, B Chen, A Rouditchenko, S Thomas, B Kingsbury, RS Feris, ... Proceedings of the ieee/cvf conference on computer vision and pattern …, 2022 | 122 | 2022 |
| Anomaly detection in medical imaging with deep perceptual autoencoders N Shvetsova, B Bakker, I Fedulova, H Schulz, DV Dylov IEEE Access 9, 118571-118583, 2021 | 97 | 2021 |
| Perceptual Image Anomaly Detection N Tuluptceva, B Bakker, I Fedulova, A Konushin ACPR 2019 12046 (Lecture Notes in Computer Science), 164--178, 2020 | 29 | 2020 |
| Mood 2020: A public benchmark for out-of-distribution detection and localization on medical images D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022 | 25 | 2022 |
| Match, expand and improve: Unsupervised finetuning for zero-shot action recognition with language knowledge W Lin, L Karlinsky, N Shvetsova, H Possegger, M Kozinski, R Panda, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 14 | 2023 |
| Howtocaption: Prompting llms to transform video annotations at scale N Shvetsova, A Kukleva, X Hong, C Rupprecht, B Schiele, H Kuehne arXiv preprint arXiv:2310.04900, 2023 | 4 | 2023 |
| C2kd: Cross-lingual cross-modal knowledge distillation for multilingual text-video retrieval A Rouditchenko, YS Chuang, N Shvetsova, S Thomas, R Feris, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Learning by Sorting: Self-supervised Learning with Group Ordering Constraints N Shvetsova, F Petersen, A Kukleva, B Schiele, H Kuehne Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 4 | 2023 |
| Vl-taboo: An analysis of attribute-based zero-shot capabilities of vision-language models F Vogel, N Shvetsova, L Karlinsky, H Kuehne arXiv preprint arXiv:2209.06103, 2022 | 3 | 2022 |
| Routing with self-attention for multimodal capsule networks K Duarte, B Chen, N Shvetsova, A Rouditchenko, S Thomas, A Liu, ... arXiv preprint arXiv:2112.00775, 2021 | 3 | 2021 |
| What, when, and where?--Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions B Chen, N Shvetsova, A Rouditchenko, D Kondermann, S Thomas, ... arXiv preprint arXiv:2303.16990, 2023 | 2 | 2023 |
| Preserving modality structure improves multi-modal learning S Swetha, MN Rizve, N Shvetsova, H Kuehne, M Shah Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval N Shvetsova, A Kukleva, B Schiele, H Kuehne Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| MOOD 2020: A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images D Zimmerer, P Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... BVM Workshop, 312-312, 2023 | | 2023 |
| Augmentation Learning for Semi-Supervised Classification T Frommknecht, PA Zipf, Q Fan, N Shvetsova, H Kuehne DAGM German Conference on Pattern Recognition, 85-98, 2022 | | 2022 |
| Supplementary Material Learning by Sorting: Self-supervised Learning with Group Ordering Constraints N Shvetsova, F Petersen, A Kukleva, B Schiele, H Kuehne | | |
| In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval Supplementary Material N Shvetsova, A Kukleva, B Schiele, H Kuehne | | |
| Everything at Once–Multi-modal Fusion Transformer for Video Retrieval Supplementary Material N Shvetsova, B Chen, A Rouditchenko, S Thomas, B Kingsbury, R Feris, ... | | |
Hilde KuehneUniversity of Bonn , MIT-IBM Watson LabVerified email at uni-bonn.de
