Anna Kukleva - RankMe

42 papers A* 12A 1C 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data. CoRR Siarhei Sheludzko, Dhimitrios Duka, Bernt Schiele, Hilde Kuehne, Anna Kukleva
2026	J	`jnl`	When LLaVA Meets Objects: Token Composition for Vision-Language-Models. CoRR Soumya Jahagirdar, Walid Bousselham, Anna Kukleva, Hilde Kuehne
2025	J	`jnl`	Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs. CoRR Selim Kuzucu, Muhammad Ferjad Naeem, Anna Kukleva, Federico Tombari, Bernt Schiele
2025	J	`jnl`	RefAM: Attention Magnets for Zero-Shot Referral Segmentation. CoRR Anna Kukleva, Enis Simsar, Alessio Tonioni, Muhammad Ferjad Naeem, Federico Tombari, Jan Eric Lenssen, Bernt Schiele
2025	A*	`conf`	T-FAKE: Synthesizing Thermal Images for Facial Landmarking. CVPR Philipp Flotho, Moritz Piening, Anna Kukleva, Gabriele Steidl
2025	A*	`conf`	VideoGEM: Training-free Action Grounding in Videos. CVPR Felix Vogel, Walid Bousselham, Anna Kukleva, Nina Shvetsova, Hilde Kuehne
2025	J	`jnl`	VideoGEM: Training-free Action Grounding in Videos. CoRR Felix Vogel, Walid Bousselham, Anna Kukleva, Nina Shvetsova, Hilde Kuehne
2024	—	`—`	Advancing image and video recognition with less supervision. Anna Kukleva
2024	—	`conf`	HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. ECCV (56) Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne
2024	A*	`conf`	OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning. CVPR Noor Ahmed, Anna Kukleva, Bernt Schiele
2024	J	`jnl`	OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning. CoRR Noor Ahmed, Anna Kukleva, Bernt Schiele
2024	J	`jnl`	T-FAKE: Synthesizing Thermal Images for Facial Landmarking. CoRR Philipp Flotho, Moritz Piening, Anna Kukleva, Gabriele Steidl
2024	A*	`conf`	X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization. CVPR Anna Kukleva, Fadime Sener, Edoardo Remelli, Bugra Tekin, Eric Sauser, Bernt Schiele, Shugao Ma
2024	J	`jnl`	X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization. CoRR Anna Kukleva, Fadime Sener, Edoardo Remelli, Bugra Tekin, Eric Sauser, Bernt Schiele, Shugao Ma
2023	J	`jnl`	HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. CoRR Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne
2023	A*	`conf`	In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. ICCV Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	J	`jnl`	In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. CoRR Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	A*	`conf`	Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. ICCV Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	J	`jnl`	Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. CoRR Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	J	`jnl`	Revisiting Consistency Regularization for Semi-Supervised Learning. Int. J. Comput. Vis. Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
2023	A*	`conf`	SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. ICCV Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
2023	J	`jnl`	SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. CoRR Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
2023	—	`conf`	TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. CVWW Wei Lin, Anna Kukleva, Horst Possegger, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. CoRR Wei Lin, Anna Kukleva, Horst Possegger, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. CoRR Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2023	A*	`conf`	Temperature Schedules for self-supervised contrastive methods on long-tail data. ICLR Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2022	A*	`conf`	CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CVPR Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele
2022	J	`jnl`	CycDA: Unsupervised Cycle Domain Adaptation from Image to Video. CoRR Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof
2022	—	`conf`	CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. ECCV (3) Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof
2022	—	`conf`	Leveraging Self-Supervised Training for Unintentional Action Recognition. ECCV Workshops (4) Enea Duka, Anna Kukleva, Bernt Schiele
2022	J	`jnl`	Leveraging Self-Supervised Training for Unintentional Action Recognition. CoRR Enea Duka, Anna Kukleva, Bernt Schiele
2021	A*	`conf`	Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. ICCV Anna Kukleva, Hilde Kuehne, Bernt Schiele
2021	J	`jnl`	Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. CoRR Anna Kukleva, Hilde Kuehne, Bernt Schiele
2021	A	`conf`	Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. WACV Rosaura G. VidalMata, Walter J. Scheirer, Anna Kukleva, David D. Cox, Hilde Kuehne
2021	J	`jnl`	Revisiting Consistency Regularization for Semi-Supervised Learning. CoRR Yue Fan, Anna Kukleva, Bernt Schiele
2021	—	`conf`	Revisiting Consistency Regularization for Semi-supervised Learning. GCPR Yue Fan, Anna Kukleva, Bernt Schiele
2020	A*	`conf`	Learning Interactions and Relationships Between Movie Characters. CVPR Anna Kukleva, Makarand Tapaswi, Ivan Laptev
2020	J	`jnl`	Learning Interactions and Relationships between Movie Characters. CoRR Anna Kukleva, Makarand Tapaswi, Ivan Laptev
2019	A*	`conf`	Unsupervised Learning of Action Classes With Continuous Temporal Embedding. CVPR Anna Kukleva, Hilde Kuehne, Fadime Sener, Jürgen Gall
2019	J	`jnl`	Unsupervised learning of action classes with continuous temporal embedding. CoRR Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall
2019	C	`conf`	Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking. RoboCup Anna Kukleva, Mohammad Asif Khan, Hafez Farazi, Sven Behnke
2019	J	`jnl`	Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking. CoRR Anna Kukleva, Mohammad Asif Khan, Hafez Farazi, Sven Behnke