Image Recognition - Neurohive

“What Is Going On?” Neural Network by Facebook Detects and Recognises Human-Object Interactions

Deep learning played an important role in the past years for the improvement of visual recognition of individual instances e.g detecting objects and pose estimation. However, recognizing individual objects is…

Human Rights Violations Recognition in Images Using CNN Features

Human rights violations have been unfolding during the entire human history, while nowadays they increasingly appear in many different forms around the world. Human rights violations refer to the actions…

Image Inpainting for Irregular Holes Using Partial Convolutions

Deep learning is growing very fast and it is one of the fast-growing areas of artificial intelligence. It has been used in many fields extensively including real-time object detection, image…

Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

A wide variety of images around us are the outcome of interactions between lighting, shapes and materials. In recent years, the advent of convolutional neural networks (CNN) has led to…

“What I See” vs “What My Camera Sees”: How DNN Can Bring Details Back to Overexposed and Underexposed Images

Human eyes are better than any known camera, so far. When we look at scenes where there’s a huge gap between the bright and dark tones (for example sunrise and…