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• Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-Stage Action Localization

  Samsung AI Center Cambridge (SAIC-C) performs world-class blue-sky AI research with an open and collaborative approach to science. SAIC-C publishes its results in top scientific venues and releases open source code and datasets to facilitate engagement with the wider academic community.

• MR-VNet: Media Restoration Using Volterra Networks

  In our increasingly visual-oriented world, media such as images and videos play a crucial role in conveying information, expressing emotions, and preserving memories.

• FFF: Fixing Flawed Foundations in Contrastive Pre-training Results in Very Strong Vision-Language Models

  Large-scale contrastive image-text pre-training remains the prevalent method for training Vision-Language Models (VLMs) [1,2].

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