Google Researchers Released New State-of-the-art Method For Depth Estimation from Single Image

30 October 2019

Google Researchers Released New State-of-the-art Method For Depth Estimation from Single Image

Researchers from Google AI have proposed a new state-of-the-art method for unsupervised depth estimation from images, that works without using any additional input. The novel method, which in fact is…

Video-to-Video Synthesis Using Only Few Example Images

29 October 2019

Video-to-Video Synthesis Using Only Few Example Images

A group of researchers from NVIDIA has proposed a new method that learns to synthesize videos of unseen objects by using only a few example images of those objects. The…

Semi-weakly Supervised Learning: Increasing Classification Accuracy with Billion-scale Unlabeled Images

27 October 2019

Semi-weakly Supervised Learning: Increasing Classification Accuracy with Billion-scale Unlabeled Images

Researchers from Facebook AI Research (FAIR) have announced their work on a new concept in deep learning called Semi-weakly Supervised Learning. The new approach that the researchers propose, in fact,…

Trident Networks: Novel State-of-the-art Model for Object Detection

23 October 2019

Trident Networks: Novel State-of-the-art Model for Object Detection

Researchers from the University of Chinese Academy of Sciences have proposed a new state-of-the-art object detection method based on scale-aware deep neural networks. In their novel paper, named “Scale-aware Trident…

Deep Learning Helps Historians Restore Damaged Ancient Greek Texts

21 October 2019

Deep Learning Helps Historians Restore Damaged Ancient Greek Texts

A group of researchers from Google’s Deepmind has published their most recent work on restoring ancient text using deep learning. In their novel paper named, “Restoring ancient text using deep…

New CNN Model For Lane Detection Using Self Attention

18 August 2019

New CNN Model For Lane Detection Using Self Attention

A group of researchers, led by Yuenan Hou from the Chinese University of Hong Kong has released a new state-of-the-art method for lane markings detection. The problem of lane markings…

Gated-SCNN: New State-of-the-art Method for Semantic Segmentation

31 July 2019

Gated-SCNN: New State-of-the-art Method for Semantic Segmentation

A group of researchers from NVIDIA, the University of Waterloo, the University of Toronto and the Vector Institute have published a new state-of-the-art method for semantic segmentation. The novel method…

Open Source 3D Human Pose Estimation Approach with Self-Supervised Learning

14 March 2019
3d human pose estimation

Open Source 3D Human Pose Estimation Approach with Self-Supervised Learning

Human pose estimation is a fundamental problem in Computer Vision. Deriving a 3D Human pose out of single RGB image is needed in many real-world application scenarios, especially within the…

The StyleGAN Code Released: Neural Network for Faces Generation by NVIDIA

18 February 2019
stylegan

The StyleGAN Code Released: Neural Network for Faces Generation by NVIDIA

NVIDIA released the StyleGAN code, the GAN for faces generation that has never existed which is the state-of-the-art method in terms of interpolation capabilities and disentanglement power. On the 18th of December…

Who Leads the Self-Driving Cars Race? State-of-Affairs in Autonomous Driving

30 January 2019
self-driving cars

Who Leads the Self-Driving Cars Race? State-of-Affairs in Autonomous Driving

Within just a couple of years, self-driving cars have gone from science fiction to “now commercially available” road-bound reality. This year’s CES (the largest consumer electronics show) was “flooded” with…

EXAM – State-of-The-Art Method for Text Classification

24 December 2018
text classification EXAM

EXAM – State-of-The-Art Method for Text Classification

One of the widely used Natural Language Processing & Supervised Machine Learning (ML) task in different problems and used cases is the so-called Text Classification. It is an example of…

Dissecting GANs for Better Understanding and Visualization

5 December 2018
dissecting gan paper

Dissecting GANs for Better Understanding and Visualization

GANs can be taught to create (or generate) worlds similar to our own in any domain: images, music, speech, etc. Since 2014, a large number of improvements of GANs have…

PIFR: Pose Invariant 3D Face Reconstruction

26 November 2018
pifr reconstruction

PIFR: Pose Invariant 3D Face Reconstruction

3D face geometry needs to be recovered from 2D images in many real-world applications, including face recognition, face landmark detection, 3D emoticon animation etc. However, this task remains challenging especially…

BrainNet – Brain-to-Brain Interface for Direct Collaboration Between Brains

23 October 2018
brain-to-brain interface

BrainNet – Brain-to-Brain Interface for Direct Collaboration Between Brains

In the past few years, the brain to direct computer communication started to gain more and more attention. A few breakthroughs have traced the path for researchers towards building a…

Fooling Facial Recognition: Fast Method for Generating Adversarial Faces

2 October 2018
Fooling Facial Recognition Fast Method for Generating Adversarial Faces

Fooling Facial Recognition: Fast Method for Generating Adversarial Faces

With the rapid progress and state-of-the-art performance in a wide range of tasks, deep learning based methods are in use in a large number of security-sensitive and critical applications. However,…

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…

Temporal Relational Reasoning in Videos

25 September 2018
temporal relation network

Temporal Relational Reasoning in Videos

The ability to reason about the relations between entities over time is crucial for intelligent decision-making. Temporal relational reasoning allows intelligent species to analyze the current situation relative to the…

Identity Verification with Deep Learning: ID-Selfie Matching Method

24 September 2018
ID selfie verification

Identity Verification with Deep Learning: ID-Selfie Matching Method

A large number of daily activities in our lives require identity verification. Identity verification provides a security mechanism starting from access control to systems all the way to at border crossing…

Deep Clustering Approach for Image Classification Task

20 September 2018
deepcluster facebook

Deep Clustering Approach for Image Classification Task

Clustering of images seems to be a well-researched topic. But in fact, little work has been done to adapt it to the end-to-end training of visual features on large-scale datasets.…

Realistic Exemplar-Based Image Colorization

18 September 2018
colorization method

Realistic Exemplar-Based Image Colorization

Image colorization is a widespread problem within computer vision. The ultimate objective of image colorization is to map a gray-scale image to a visually plausible and perceptually meaningful color image.…

AlphaGAN: Natural Image Matting

11 September 2018
AlphaGAN

AlphaGAN: Natural Image Matting

Many image-editing and film post-production applications rely on natural image matting as one of the processing steps. The task of the matting algorithm is to estimate the opacity of a…