Abstract: Multimodal emotion recognition (MER) aims to understand human emotions by leveraging multiple modalities. Previous MER methods have focused on learning enhanced multimodal representations ...

Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large vision model ...

Navigating the world is no mean feat, especially when the world pushes back. For instance, airflow hitting a fly on its right side can, after a turn, become a headwind. To stay on course, the fly's ...

Abstract: Remote sensing cross-modality text-image retrieval aims to retrieve a specific object from a large image gallery based on a natural language description, and vice versa. Existing methods ...

Math teacher Emma Chiappetta uses a three-round exercise to help students not only recognize their errors, but also generate their own. In the procedure, she randomly separates students into groups of ...

With the rise of AI, business leaders may be wondering: Is it time to outsource math to machines, freeing managers to do more managerial things? Harsha V. Misra is the founder of a private investment ...