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Anna Kukleva
Titolo
Citata da
Citata da
Anno
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
1362019
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
712021
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
692020
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
652022
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
642021
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
632023
Temperature schedules for self-supervised contrastive methods on long-tail data
A Kukleva*, M Böhle*, B Schiele, H Kuehne, C Rupprecht
ICLR 2023, 2023
392023
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
182023
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
162019
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
112024
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
N Shvetsova, F Petersen, A Kukleva, B Schiele, H Kuehne
ICCV 2023, 2023
102023
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
92023
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
72022
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
32023
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
32023
Leveraging Self-Supervised Training for Unintentional Action Recognition
E Duka*, A Kukleva*, B Schiele
European Conference on Computer Vision Workshop SSLWIN (ECCVW), 2022
12022
Abandoned Objects Detection in Video Sequences
A Kukleva, V Konushin, A Konushin
GraphiCon 27th International Conference on Computer Graphics and Vision, 2017
12017
T-FAKE: Synthesizing Thermal Images for Facial Landmarking
P Flotho, M Piening, A Kukleva, G Steidl
arXiv preprint arXiv:2408.15127, 2024
2024
Advancing image and video recognition with less supervision
A Kukleva
Saarländische Universitäts-und Landesbibliothek, 2024
2024
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
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