Unsupervised Attention-Guided Image-to-Image Translation

30 July 2018
Unsupervised Attention-Guided Image-to-Image Translation

Unsupervised Attention-Guided Image-to-Image Translation

Image-to-image translation is the task of mapping an image from a source domain to a target domain. Applications include image colorization, image super-resolution, style transfer, domain adaptation and data augmentation. Most of the approaches require…

Synthesising Images of Humans in Unseen Poses

19 July 2018
Моделирование позы на фотографии

Synthesising Images of Humans in Unseen Poses

Humans have an incredible capability to imagine things in a different context. At the core of our intelligence are the imagination and learning from experience. Both of these things are…

“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…

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…

Automated Animal Identification Using Deep Learning Techniques

26 June 2018
распознавание животных

Automated Animal Identification Using Deep Learning Techniques

Having large enough amounts of data gives an opportunity to apply Deep Learning methods to almost any task. We have seen in the recent years, the success of deep learning…

A New Method for Image De-blurring

21 June 2018
устранения размытия

A New Method for Image De-blurring

When we use a camera, we want the recorded image to be a faithful representation of what we see in front of us. However, very often images contain blur, and…

“Seeing Beyond Walls” — Human Pose Estimation Under Occlusions

21 June 2018
Human Pose Estimation Under Occlusions

“Seeing Beyond Walls” — Human Pose Estimation Under Occlusions

Being able to see beyond walls has been considered superhuman power, seen in many sci-fi movies in the past. In 2011, researchers the Massachusetts Institute of Technology announced that they…

Facebook AI Research Presents: Eye In-Painting with Exemplar GAN

19 June 2018
Eye In-Painting with Exemplar GAN

Facebook AI Research Presents: Eye In-Painting with Exemplar GAN

Nowadays, it is pretty common for people to share their pictures on social media. A large percentage of them featuring people-centric content. There is little doubt that realistic face retouching…

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,…

Finding Tiny Faces in the Wild with Generative Adversarial Network

5 June 2018
Finding Tiny Faces in the Wild with GAN

Finding Tiny Faces in the Wild with Generative Adversarial Network

Face detection is a fundamental problem in computer vision since it is usually a key step towards many subsequent face-related applications, including face parsing, face verification, face tagging and retrieval, etc.…

Kepler.gl — Powerful Open Source Map Visualization Tool by Uber

4 June 2018
Kepler.gl 

Kepler.gl — Powerful Open Source Map Visualization Tool by Uber

Big Data is a term that is being used very much, and no single definition explains what big data is. What most people agree on is that big data typically…

Spherical CNN Kernels for 3D Point Clouds

30 May 2018
3d point clouds

Spherical CNN Kernels for 3D Point Clouds

From a data structure point of view, point clouds are unordered sets of vectors. They are specific and differ very much from other data types such as images and videos.…

XOGAN: One-to-Many Unsupervised Image-to-Image Translation

29 May 2018
Edge2Shoes

XOGAN: One-to-Many Unsupervised Image-to-Image Translation

Image generation has become popular from past couple of years. The image generation technique has become popular in various applications. Many computer vision tasks, including image inpainting, image style transfer,…

Faster Learning and Better Image Quality with Evolving Generative Adversarial Networks

22 May 2018

Faster Learning and Better Image Quality with Evolving Generative Adversarial Networks

Generative Adversarial Networks are one of the most promising recent developments in the area of Deep Learning. GANs are generative models that have recently become very popular among the machine learning…

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…

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…

“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,…