Nina Shvetsova

28 papers A* 8Misc 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion. CoRR Nina Shvetsova, Goutam Bhat, Prune Truong, Hilde Kuehne, Federico Tombari
2025	A*	`conf`	Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks. CVPR Nina Shvetsova, Arsha Nagrani, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2025	J	`jnl`	Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks. CoRR Nina Shvetsova, Arsha Nagrani, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
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	—	`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`	What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CVPR Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2023	Misc	`conf`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
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	A*	`conf`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	A*	`conf`	Preserving Modality Structure Improves Multi-Modal Learning. ICCV Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
2023	J	`jnl`	Preserving Modality Structure Improves Multi-Modal Learning. CoRR Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
2023	J	`jnl`	What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
2022	—	`conf`	Augmentation Learning for Semi-Supervised Classification. GCPR Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne
2022	J	`jnl`	Augmentation Learning for Semi-Supervised Classification. CoRR Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne
2022	J	`jnl`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
2022	A*	`conf`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2022	J	`jnl`	VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models. CoRR Felix Vogel, Nina Shvetsova, Leonid Karlinsky, Hilde Kuehne
2021	J	`jnl`	Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
2021	J	`jnl`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2021	J	`jnl`	Routing with Self-Attention for Multimodal Capsule Networks. CoRR Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah