Author

Nina Shvetsova

Observed name: Shvetsova, Nina

Institutions: Google (United States), Tübingen AI Center, University of Tübingen

Observed institutions: Goethe University Frankfurt, Google (United States), Tübingen AI Center, University of Tübingen

ORCID: 0000-0003-0910-188X

Observed ORCID: 0000-0003-0910-188X

OpenAlex ID: A5035348561

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders

2021 · Nina Shvetsova, Bart Bakker, et al. · IEEE Access · 188

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Everything at Once – Multi-modal Fusion Transformer for Video Retrieval

2022 · Nina Shvetsova, Brian Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 155

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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images

2022 · David Zimmerer, Peter M. Full, et al. · IEEE Transactions on Medical Imaging · 77

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M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion

2026 · Nina Shvetsova, Goutam Bhat, et al. · International Conference on 3D Vision (3DV) · 7

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Routing with Self-Attention for Multimodal Capsule Networks

2021 · Duarte, Kevin, Chen, Brian, et al. · arXiv (Cornell University) · 5

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Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks

2025 · Nina Shvetsova, Arsha Nagrani, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 4

Augmentation Learning for Semi-Supervised Classification

2022 · Tim Frommknecht, Pedro Alves Zipf, et al. · Lecture notes in computer science · 3

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Abstract: MOOD 2020

2023 · David Zimmerer, Peter Full, et al. · Informatik aktuell · 1

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Advancing Vision Without Human Supervision Through Multimodal and Unsupervised Learning

2026 · Shvetsova, Nina

Decompose, Compare, and Decide: Multimodal LLMs are Implicit Few-Shot Learners

2026 · Yunhan Wang, Eshika Khandelwal, et al. · Lecture notes in computer science

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Advancing vision without human supervision through multimodal and unsupervised learning