Causal Disentanglement: The Next Frontier in AI

22 February 2019
metod-prichinnoi-razvertki-e1551807383612

Causal Disentanglement: The Next Frontier in AI

In a new paper published in Nature Machine Intelligence, researchers from Sweden’s Karolinska Institutet and King Abdullah University of Science and Technology have introduced a novel concept called causal disentanglement.…

New Datasets for Action Recognition

22 October 2018

New Datasets for Action Recognition

Action recognition is vital for many real-life applications, including video surveillance, healthcare, and human-computer interaction. What do we need to do to classify video clips based on the actions being…

This Neural Network Evaluates Natural Scene Memorability

1 October 2018
natural scene memorability score by neural network

This Neural Network Evaluates Natural Scene Memorability

One hallmark of human cognition is the splendid capacity of recalling thousands of different images, some in details, after only a single view. Not all photos are remembered equally in…

A Style-Aware Content Loss for Real-time HD Style Transfer

14 August 2018

A Style-Aware Content Loss for Real-time HD Style Transfer

A picture may be worth a thousand words, but at least it contains a lot of very diverse information. This not only comprises what is portrayed, e.g., a composition of…

Anatomically-Aware Facial Animation from a Single Image

7 August 2018
GAN animation

Anatomically-Aware Facial Animation from a Single Image

Let’s say you have a picture of a Hugh Jackman for an advertisement. He looks great, but the client wants him to look a little bit happier. No, you don’t…

Automatic Creation of Personalized GIFs: a New State-of-the-Art Approach

27 July 2018
automatic-gif-creation

Automatic Creation of Personalized GIFs: a New State-of-the-Art Approach

Suppose you have a 10-minutes-video but are interested only in a small portion of it. You are thinking about creating a 5-second GIF out of this video, but video-editing can…

Realistic 3D Avatars from a Single Image

27 July 2018
3d avatar

Realistic 3D Avatars from a Single Image

Digital media needs realistic 3D avatars with faces. The recent surge in augmented and virtual reality platforms has created an even stronger demand for high-quality content, and rendering realistic faces…

3D Hair Reconstruction Out of a Single Image

10 July 2018
3D Hair Reconstruction Out of a Single Image

3D Hair Reconstruction Out of a Single Image

Generating a realistic 3D model of an object out from 2D data represents a challenging task and this problem has been explored by many researchers in the past. The creation…

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

26 June 2018
image segmentation

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

Object detectors have become significantly more accurate and gained new capabilities. One of the most exciting is the ability to predict a foreground segmentation mask for each detected object, a…

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

12 June 2018
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

The immeasurable amount of multimedia data is recorded and shared in the current era of the Internet. Among it, a video is one of the most common and rich modalities,…

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…

How Artificial Intelligence Can Help DJs Deliver a Seamless Mix

16 May 2018
svedenie trekov neironnye seti

How Artificial Intelligence Can Help DJs Deliver a Seamless Mix

It is a common and good practice among DJs to create and divide playlists by mood (aggressive, soulful, melancholy) and energy (slow, medium, fast) rather than by music genre. In…

“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…

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

26 April 2018
A Synthetic Dataset by Nvidia for Pose Estimation

“Falling Things”: A Synthetic Dataset by Nvidia for Pose Estimation

Deep learning made a lot of progress in image recognition and visual arts. The deep learning approach is used to solve the problems of image recognition, image captioning, image segmentation,…