Alex M. Bronstein

6 papers · 2019–2022 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

CVPR (4) JMLR (1) WACV (1)

Top co-authors

Leonid Karlinsky (2) Or Litany (2) Rogerio Feris (2) Chaim Baskin (2) Amit Aides (2) Sivan Harary (2) Avi Mendelson (2) Joseph Shtok (2) Raja Giryes (2) Evgenii Zheltonozhskii (2)

Research topics

Machine Learning (6) Deep Learning (5) Learning Types · Deep Learning (5) Core Methods (4) Artificial Intelligence (3) Computer Vision (3) Learning Paradigms (3) Learning Types · Machine Learning (3) Analysis (2) Architectures (2) Application Areas (1) Core AI (1) Generation (1) Processing (1)

Keywords

few-shot learning (2) unsupervised learning (1) representation learning (1) contrastive learning (1) semi-supervised learning (1) embedding space (1) shape correspondence (1) object detection (1) noisy label learning (1) data augmentation (1) multi-label classification (1) 3d vision (1) motion blur (1) distance metric learning (1) image deblurring (1) multimodal distribution (1) convolutional neural network (1) self-supervised pretraining (1) few-shot object detection (1) feature extractor (1)

Papers

Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels WACV 2022 CAT: Compression-Aware Training for bandwidth reduction JMLR 2021 Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times CVPR 2021 LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019 RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019 Unsupervised Learning of Dense Shape Correspondence CVPR 2019