| Unsupervised learning of action classes with continuous temporal embedding A Kukleva*, H Kuehne*, F Sener, J Gall 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 117 | 2019 |
| Learning interactions and relationships between movie characters A Kukleva, M Tapaswi, I Laptev Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 65 | 2020 |
| Joint visual-temporal embedding for unsupervised learning of actions in untrimmed sequences RG VidalMata, WJ Scheirer, A Kukleva, D Cox, H Kuehne Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 51 | 2021 |
| Generalized and incremental few-shot learning by explicit learning and calibration without forgetting A Kukleva, H Kuehne, B Schiele Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 49 | 2021 |
| Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning Y Fan, D Dai, A Kukleva, B Schiele Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 48 | 2022 |
| Revisiting consistency regularization for semi-supervised learning Y Fan, A Kukleva, D Dai, B Schiele International Journal of Computer Vision 131 (3), 626-643, 2023 | 43 | 2023 |
| Temperature schedules for self-supervised contrastive methods on long-tail data A Kukleva*, M Böhle*, B Schiele, H Kuehne, C Rupprecht ICLR 2023, 2023 | 26 | 2023 |
| Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking A Kukleva*, MA Khan*, H Farazi, S Behnke Robot World Cup, Springer, 112--125, 2019 | 15 | 2019 |
| Learning by Sorting: Self-supervised Learning with Group Ordering Constraints N Shvetsova, F Petersen, A Kukleva, B Schiele, H Kuehne ICCV 2023, 2023 | 6 | 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 | 5 | 2023 |
| Cycda: Unsupervised cycle domain adaptation to learn from image to video W Lin, A Kukleva, K Sun, H Possegger, H Kuehne, H Bischof European Conference on Computer Vision, 698-715, 2022 | 5 | 2022 |
| OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning N Ahmed*, A Kukleva*, B Schiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning Y Fan, A Kukleva, D Dai, B Schiele ICCV 2023, 2023 | 2 | 2023 |
| In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval N Shvetsova*, A Kukleva*, B Schiele, H Kuehne ICCV 2023, 2023 | 1 | 2023 |
| TAEC: Unsupervised action segmentation with temporal-aware embedding and clustering W Lin, A Kukleva, H Possegger, H Kuehne, H Bischof arXiv preprint arXiv:2303.05166, 2023 | 1 | 2023 |
| Abandoned Objects Detection in Video Sequences A Kukleva, V Konushin, A Konushin GraphiCon 27th International Conference on Computer Graphics and Vision, 2017 | 1 | 2017 |
| X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization A Kukleva, F Sener, E Remelli, B Tekin, E Sauser, B Schiele, S Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Leveraging Self-Supervised Training for Unintentional Action Recognition E Duka*, A Kukleva*, B Schiele European Conference on Computer Vision Workshop SSLWIN (ECCVW), 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 | | |
Hilde KuehneUniversity of Bonn , MIT-IBM Watson Lab在 uni-bonn.de 的电子邮件经过验证
