Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Machine learning is driving a revolution in vision-based IoT applications, but new research combining classic computer vision with deep learning shows significantly better results. Topics ...

3D reconstruction uses an end-to-end deep learning framework that takes a single RGB color image as input and converts the 2D image to a 3D mesh model in a more desirable camera coordinate format.

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ...

Limitations of classical computer vision. Deep learning can transform CV, ... but its goal is to create a 3D reconstruction of an object using multiple views that can be taken from an unordered ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes decisions in milliseconds. The field of computer vision and deep learning has ...

3D-printed Deep Learning neural network uses light instead of electrons. UCLA researchers have "created a unique all-optical platform to perform machine learning tasks at the speed of light" ...

To evaluate a protein docking model, DOVE scans the protein–protein interface of the model with a 3D voxel and considers atomic interaction types and their energetic contributions as input features ...