Search Results - "Shvetsova, Nina"

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders by Shvetsova, Nina, Bakker, Bart, Fedulova, Irina, Schulz, Heinrich, Dylov, Dmitry V.

“…Anomaly detection is the problem of recognizing abnormal inputs based on the seen examples of normal data. Despite recent advances of deep learning in…”
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Everything at Once - Multi-modal Fusion Transformer for Video Retrieval by Shvetsova, Nina, Chen, Brian, Rouditchenko, Andrew, Thomas, Samuel, Kingsbury, Brian, Feris, Rogerio, Harwath, David, Glass, James, Kuehne, Hilde

“…Multi-modal learning from video data has seen increased attention recently as it allows training of semantically meaningful embeddings without human…”
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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images by Zimmerer, David, Full, Peter M., Isensee, Fabian, Jager, Paul, Adler, Tim, Petersen, Jens, Kohler, Gregor, Ross, Tobias, Reinke, Annika, Kascenas, Antanas, Jensen, Bjorn Sand, O'Neil, Alison Q., Tan, Jeremy, Hou, Benjamin, Batten, James, Qiu, Huaqi, Kainz, Bernhard, Shvetsova, Nina, Fedulova, Irina, Dylov, Dmitry V., Yu, Baolun, Zhai, Jianyang, Hu, Jingtao, Si, Runxuan, Zhou, Sihang, Wang, Siqi, Li, Xinyang, Chen, Xuerun, Zhao, Yang, Marimont, Sergio Naval, Tarroni, Giacomo, Saase, Victor, Maier-Hein, Lena, Maier-Hein, Klaus

“…Detecting Out-of-Distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the…”
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C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval by Rouditchenko, Andrew, Chuang, Yung-Sung, Shvetsova, Nina, Thomas, Samuel, Feris, Rogerio, Kingsbury, Brian, Karlinsky, Leonid, Harwath, David, Kuehne, Hilde, Glass, James

“…Multilingual text-video retrieval methods have improved significantly in recent years, but the performance for languages other than English still lags. We…”
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In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval by Shvetsova, Nina, Kukleva, Anna, Schiele, Bernt, Kuehne, Hilde

“…Large-scale noisy web image-text datasets have been proven to be efficient for learning robust vision-language models. However, when transferring them to the…”
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Learning by Sorting: Self-supervised Learning with Group Ordering Constraints by Shvetsova, Nina, Petersen, Felix, Kukleva, Anna, Schiele, Bernt, Kuehne, Hilde

“…Contrastive learning has become an important tool in learning representations from unlabeled data mainly relying on the idea of minimizing distance between…”
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VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models by Vogel, Felix, Shvetsova, Nina, Karlinsky, Leonid, Kuehne, Hilde

“…Vision-language models trained on large, randomly collected data had significant impact in many areas since they appeared. But as they show great performance…”
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HowToCaption: Prompting LLMs to Transform Video Annotations at Scale by Shvetsova, Nina, Kukleva, Anna, Hong, Xudong, Rupprecht, Christian, Schiele, Bernt, Kuehne, Hilde

“…Instructional videos are a common source for learning text-video or even multimodal representations by leveraging subtitles extracted with automatic speech…”
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Preserving Modality Structure Improves Multi-Modal Learning by Sirnam, Swetha, Rizve, Mamshad Nayeem, Shvetsova, Nina, Kuehne, Hilde, Shah, Mubarak

“…Self-supervised learning on large-scale multi-modal datasets allows learning semantically meaningful embeddings in a joint multi-modal representation space…”
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What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions by Chen, Brian, Shvetsova, Nina, Rouditchenko, Andrew, Kondermann, Daniel, Thomas, Samuel, Chang, Shih-Fu, Feris, Rogerio, Glass, James, Kuehne, Hilde

“…Spatio-temporal grounding describes the task of localizing events in space and time, e.g., in video data, based on verbal descriptions only. Models for this…”
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Augmentation Learning for Semi-Supervised Classification by Frommknecht, Tim, Zipf, Pedro Alves, Fan, Quanfu, Shvetsova, Nina, Kuehne, Hilde

“…Recently, a number of new Semi-Supervised Learning methods have emerged. As the accuracy for ImageNet and similar datasets increased over time, the performance…”
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What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions by Chen, Brian, Shvetsova, Nina, Rouditchenko, Andrew, Kondermann, Daniel, Thomas, Samuel, Chang, Shih-Fu, Feris, Rogerio, Glass, James, Kuehne, Hilde

“…Spatio-temporal grounding describes the task of localizing events in space and time, e.g., in video data, based on verbal descriptions only. Models for this…”
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MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge by Lin, Wei, Karlinsky, Leonid, Shvetsova, Nina, Possegger, Horst, Kozinski, Mateusz, Panda, Rameswar, Feris, Rogerio, Kuehne, Hilde, Bischof, Horst

“…Large scale Vision-Language (VL) models have shown tremendous success in aligning representations between visual and text modalities. This enables remarkable…”
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Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders by Shvetsova, Nina, Bakker, Bart, Fedulova, Irina, Schulz, Heinrich, Dylov, Dmitry V

“…IEEE Access, vol. 9, pp. 118571-118583, 2021 Anomaly detection is the problem of recognizing abnormal inputs based on the seen examples of normal data. Despite…”
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Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval by Shvetsova, Nina, Chen, Brian, Rouditchenko, Andrew, Thomas, Samuel, Kingsbury, Brian, Feris, Rogerio, Harwath, David, Glass, James, Kuehne, Hilde

“…Multi-modal learning from video data has seen increased attention recently as it allows to train semantically meaningful embeddings without human annotation…”
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Routing with Self-Attention for Multimodal Capsule Networks by Duarte, Kevin, Chen, Brian, Shvetsova, Nina, Rouditchenko, Andrew, Thomas, Samuel, Liu, Alexander, Harwath, David, Glass, James, Kuehne, Hilde, Shah, Mubarak

“…The task of multimodal learning has seen a growing interest recently as it allows for training neural architectures based on different modalities such as…”
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C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval by Rouditchenko, Andrew, Chuang, Yung-Sung, Shvetsova, Nina, Thomas, Samuel, Feris, Rogerio, Kingsbury, Brian, Karlinsky, Leonid, Harwath, David, Kuehne, Hilde, Glass, James

“…Multilingual text-video retrieval methods have improved significantly in recent years, but the performance for other languages lags behind English. We propose…”
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