In this work, we introduce DINOv, a Visual In-Context Prompting framework for referring and generic segmentation tasks. For visualization and demos, we also recommend ...

Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...

Abstract: Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) is challenging. In this work, inspired by the powerful abilities of deep learning ...

Abstract: Learning-based control methods for industrial processes leverage the repetitive nature of the underlying process to learn optimal inputs for the system. While many works focus on linear ...

Comparative overview of two 3DVG approaches. (a) Supervised 3DVG involves input from 3D scans combined with text queries, guided by object-text pair annotations, (b) Zero-shot 3DVG identifies the ...