Robot trained to manipulate tissue at University of California

5 March 2021

Robot trained to manipulate tissue at University of California

Researchers from the University of California and the Honda Research Institute trained a robot to fold fabric. The algorithm is based on a framework for teaching visual dynamics of objects…

Neural network generates photo captions for people with vision problems

17 February 2021

Neural network generates photo captions for people with vision problems

A neural network from Facebook AI generates descriptions for photos for users with vision problems. The app uses object recognition to generate textual descriptions of the image. It makes the…

Pixellib: library for object segmentation in photos and videos

28 January 2021

Pixellib: library for object segmentation in photos and videos

Pixellib is a library for the task of segmenting objects in images and videos. The library supports two main types of object segmentation: semantic and instance segmentation. The complexity of…

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

11 July 2018
object-detection

“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

18 May 2018
Human Rights Violations Recognition in Images Using CNN Features

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

8 May 2018
Image Inpainting for Irregular Holes Using Partial Convolutions

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

3 May 2018
SVBRDF Acquisition with a Single Mobile Phone 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

28 April 2018
How DNN Can Bring Details

“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…