arXiv Computer Vision research summaries for January 29, 2024.

Today's Research Themes (AI-Generated):

• A framework for downscaling tidal current data shows significantly improved predictions and reduced computational cost.

• Large-scale bilingual image-text foundation models, M^2-Encoders, with increased efficiency and multi-language support for AI.

• Multi-view video masked autoencoders introduce cross-view decoders to robustly handle motion and viewpoint changes.

• CENet, a concise network, achieves a balance between accuracy and efficiency in image-guided depth completion for autonomous driving.

• Novelty in flow image super-resolution achieved by incorporating quaternion spatial modeling and dynamic flow convolution.