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ORCIDNina Shvetsova
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- affiliation: Goethe University Frankfurt, Germany
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2020 – today
- 2024
[c10]Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne:
What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CVPR 2024: 18419-18429- 2023
- [c9]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:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c8]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP 2023: 1-5 - [c7]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV 2023: 2839-2850 - [c6]Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. ICCV 2023: 16407-16417 - [c5]Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. ICCV 2023: 21924-21935 - [c4]Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah:
Preserving Modality Structure Improves Multi-Modal Learning. ICCV 2023: 21936-21946 - [i13]Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. CoRR abs/2301.02009 (2023) - [i12]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR abs/2303.08914 (2023) - [i11]Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne:
What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR abs/2303.16990 (2023) - [i10]Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah:
Preserving Modality Structure Improves Multi-Modal Learning. CoRR abs/2308.13077 (2023) - [i9]Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. CoRR abs/2309.08928 (2023) - [i8]Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne:
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. CoRR abs/2310.04900 (2023) - 2022
- [j2]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:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c3]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR 2022: 19988-19997 - [c2]Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne:
Augmentation Learning for Semi-Supervised Classification. GCPR 2022: 85-98 - [i7]Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne:
Augmentation Learning for Semi-Supervised Classification. CoRR abs/2208.01956 (2022) - [i6]Felix Vogel, Nina Shvetsova, Leonid Karlinsky, Hilde Kuehne:
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models. CoRR abs/2209.06103 (2022) - [i5]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR abs/2210.03625 (2022) - 2021
- [j1]Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access 9: 118571-118583 (2021) - [i4]Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah:
Routing with Self-Attention for Multimodal Capsule Networks. CoRR abs/2112.00775 (2021) - [i3]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR abs/2112.04446 (2021) - 2020
- [i2]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection with Deep Perceptual Autoencoders. CoRR abs/2006.13265 (2020)
2010 – 2019
- 2019
- [c1]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin:
Perceptual Image Anomaly Detection. ACPR (1) 2019: 164-178 - [i1]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin:
Perceptual Image Anomaly Detection. CoRR abs/1909.05904 (2019)
Coauthor Index
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last updated on 2024-10-07 01:23 CEST by the dblp team
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