arXiv Computer Vision research summaries for April 24, 2024.

Today's Research Themes (AI-Generated):

• Real-time pedestrian safety framework utilizing predictive models to proactively reduce traffic accidents at intersections.

• PriorNet introduces a lightweight, effective image dehazing network with a novel attention mechanism to improve visual clarity.

• The introduction of Building-PCC dataset benchmarks the performance of deep learning methods in urban building point cloud completion.

• CatLIP accelerates pre-training on web-scale image-text data by 2.7x while maintaining high visual recognition accuracy.

• Multi-MaP leverages multi-modal proxy learning and large language models to align users' interests with visual multiple clusterings.