Unsupervised Learning of Action Classes With Continuous Temporal Embedding. - Anna Kukleva; Hilde Kuehne; Fadime Sener; Jürgen Gall (CVPR, 2019)

Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking. - Anna Kukleva; Mohammad Asif Khan 001; Hafez Farazi; Sven Behnke (RoboCup, 2019)

Learning Interactions and Relationships Between Movie Characters. - Anna Kukleva; Makarand Tapaswi; Ivan Laptev (CVPR, 2020)

Revisiting Consistency Regularization for Semi-supervised Learning. - Yue Fan; Anna Kukleva; Bernt Schiele (GCPR, 2021)

Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. - Anna Kukleva; Hilde Kuehne; Bernt Schiele (ICCV, 2021)

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. - Rosaura G. VidalMata; Walter J. Scheirer; Anna Kukleva; David D. Cox; Hilde Kuehne (WACV, 2021)

CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. - Yue Fan; Dengxin Dai; Anna Kukleva; Bernt Schiele (CVPR, 2022)

Leveraging Self-Supervised Training for Unintentional Action Recognition. - Enea Duka; Anna Kukleva; Bernt Schiele (ECCV Workshops (4), 2022)

CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. - Wei Lin 019; Anna Kukleva; Kunyang Sun; Horst Possegger; Hilde Kuehne; Horst Bischof (ECCV (3), 2022)

CycDA: Unsupervised Cycle Domain Adaptation from Image to Video. - Wei Lin 019; Anna Kukleva; Kunyang Sun; Horst Possegger; Hilde Kuehne; Horst Bischof (CoRR, 2022)

TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. - Wei Lin 019; Anna Kukleva; Horst Possegger; Hilde Kuehne; Horst Bischof (CVWW, 2023)

SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. - Yue Fan; Anna Kukleva; Dengxin Dai; Bernt Schiele (ICCV, 2023)

In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. - Nina Shvetsova; Anna Kukleva; Bernt Schiele; Hilde Kuehne (ICCV, 2023)

Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. - Nina Shvetsova; Felix Petersen; Anna Kukleva; Bernt Schiele; Hilde Kuehne (ICCV, 2023)

Temperature Schedules for self-supervised contrastive methods on long-tail data. - Anna Kukleva; Moritz Böhle; Bernt Schiele; Hilde Kuehne; Christian Rupprecht 001 (ICLR, 2023)

Revisiting Consistency Regularization for Semi-Supervised Learning. - Yue Fan; Anna Kukleva; Dengxin Dai; Bernt Schiele (Int. J. Comput. Vis., 2023)

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning. - Noor Ahmed; Anna Kukleva; Bernt Schiele (CVPR, 2024)

X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization. - Anna Kukleva; Fadime Sener; Edoardo Remelli; Bugra Tekin; Eric Sauser; Bernt Schiele; Shugao Ma (CVPR, 2024)

HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. - Nina Shvetsova; Anna Kukleva; Xudong Hong 002; Christian Rupprecht 001; Bernt Schiele; Hilde Kuehne (ECCV (56), 2024)

Advancing image and video recognition with less supervision. - Anna Kukleva (2024)

T-FAKE: Synthesizing Thermal Images for Facial Landmarking. - Philipp Flotho; Moritz Piening; Anna Kukleva; Gabriele Steidl (CVPR, 2025)

VideoGEM: Training-free Action Grounding in Videos. - Felix Vogel; Walid Bousselham; Anna Kukleva; Nina Shvetsova; Hilde Kuehne (CVPR, 2025)

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs. - Selim Kuzucu; Muhammad Ferjad Naeem; Anna Kukleva; Federico Tombari; Bernt Schiele (CoRR, 2025)