Adobe Trained A Neural Network That Detects Photoshopped Faces

15 June 2019

Adobe Trained A Neural Network That Detects Photoshopped Faces

Researchers from Adobe Research and the University of California Berkeley, have developed a method that can detect photoshopped faces by scripting photoshop. In the past few years, Adobe Research has…

Facebook Launched PyTorch Hub – A Central Place for PyTorch Models

15 June 2019

Facebook Launched PyTorch Hub – A Central Place for PyTorch Models

Facebook launched PyTorch Hub – a place where researchers and developers can upload and use pre-trained models. The novelty comes as part of Facebook’s plan to bring PyTorch closer to…

MIT Researchers Show How Single Classifier Can Solve Multiple Computer Vision Tasks

15 June 2019

MIT Researchers Show How Single Classifier Can Solve Multiple Computer Vision Tasks

Researchers from MIT have shown how a single classifier model can be used to tackle multiple different computer vision tasks. In their novel paper, researchers explore the potential of robust…

“How To Make A Pizza”: Researchers Design GAN Network That Can Create Pizza

13 June 2019

“How To Make A Pizza”: Researchers Design GAN Network That Can Create Pizza

In a novel paper, researchers from the Massachusetts Institute of Technology and the Qatar Computing Research Institute show how learning a compositional GAN model can be used to visually construct…

“Selfie”: Novel Method Improves Image Models Accuracy By Self-supervised Pretraining

11 June 2019

“Selfie”: Novel Method Improves Image Models Accuracy By Self-supervised Pretraining

Researchers from Google Brain have proposed a novel pre-training technique called Selfie, which applies the concept of masked language modeling to images. Arguing that language model pre-training and language modeling,…

Mesh R-CNN Detects Objects and Estimates 3D Shape From Images

10 June 2019

Mesh R-CNN Detects Objects and Estimates 3D Shape From Images

Researchers from Facebook AI Research have proposed Mesh R-CNN – a neural network model that detects objects in images and outputs a 3D shape in the form of triangle mesh…

Google’s Neural Network Model Generates Realistic High-Fidelity Videos

9 June 2019

Google’s Neural Network Model Generates Realistic High-Fidelity Videos

Researchers from Google Research proposed a novel method for generating realistic, high-fidelity natural videos. In the past several years, we have witnessed the progress of generative models like GANs (Generative…

Google Research Football: New Reinforcement Learning Environment for Training Football Playing Agents

8 June 2019

Google Research Football: New Reinforcement Learning Environment for Training Football Playing Agents

Google AI announced the release of a new reinforcement learning environment – Google Research Football. After the number of successes of deep reinforcement learning in playing computer games, researchers have…

Does Object Recognition Work for Everyone?

8 June 2019

Does Object Recognition Work for Everyone?

Researchers from Facebook AI Research (FAIR) have performed an interesting experiment analyzing how object recognition systems perform for people coming from different countries and with different income levels. To be…

TensorNetwork: Google AI Released Open-source Library for Efficient Tensor Computations

7 June 2019

TensorNetwork: Google AI Released Open-source Library for Efficient Tensor Computations

Google AI introduced TensorNetwork – an open-source library for efficient calculations for tensor networks. In the blog post, Chase Roberts, Research Engineer at Google AI and Stefan Leichenauer, Research Scientist…

Going Beyond GANs? DeepMind Researchers Proposed VAE Model for Generating Realistic Images

7 June 2019

Going Beyond GANs? DeepMind Researchers Proposed VAE Model for Generating Realistic Images

In a recent paper, researchers from DeepMind propose a variation of VQ-VAE (Vector Quantized Variational Autoencoder) model that rivals Generative Adversarial Networks in high-fidelity image generation. The new model, called…

Deep Drone Racing: Novel Method Uses CNN and Imitation Learning To Control A Drone

6 June 2019

Deep Drone Racing: Novel Method Uses CNN and Imitation Learning To Control A Drone

Researchers from the University of Zurich, ETH Zurich and Intel propose a vision-based method for drone racing using a path-planning system and a convolutional neural network. Arguing that robot (and/or…

AI System Can Provide Orthodontic Diagnosis and Treatment Plans

6 June 2019

AI System Can Provide Orthodontic Diagnosis and Treatment Plans

A group of researchers from Osaka University in Japan have proposed an automated orthodontic diagnosis system based on Natural Language Processing (NLP). In a paper published recently, Tomoyuki Kajiwara and…

Detect-to-Retrieve: Novel Method Improves Image Search by Detecting Landmarks

3 June 2019

Detect-to-Retrieve: Novel Method Improves Image Search by Detecting Landmarks

Researchers from the University of Cambridge and Google AI have proposed a new image retrieval method that leverages region detection to provide improved image similarity estimates. In the novel paper,…

Now “Visual Question Answering” Models Can Read Text In Images

3 June 2019

Now “Visual Question Answering” Models Can Read Text In Images

In a paper accepted to CVPR 2019, researchers from Facebook AI Research (FAIR) and Georgia Institute of Technology introduce TextVQA – Visual Question Answering models that can understand text and…

EfficientNet: Achieving State-of-The-Art Results By Systematically Scaling Deep Neural Networks

2 June 2019

EfficientNet: Achieving State-of-The-Art Results By Systematically Scaling Deep Neural Networks

Researchers from Google AI have found a way to systematically scale deep neural networks and improve accuracy as well as efficiency. Deep neural networks have shown unprecedented performance on a…

“Now You See It, Now You Don’t”: Deep Flow-Guided Video Inpainting

1 June 2019

“Now You See It, Now You Don’t”: Deep Flow-Guided Video Inpainting

A group of researchers from the Chinese University of Hong Kong and the Nanyang Technological University has proposed a novel flow-guided video inpainting method that achieves state-of-the-art results. Video inpainting…

SANet: Flexible Neural Network Model for Style Transfer

1 June 2019

SANet: Flexible Neural Network Model for Style Transfer

Researchers from the Artificial Intelligence Research Institute in Korea have proposed a novel neural network method for arbitrary style transfer. Style transfer, as a technique of recomposing images in the…

Researchers Expanded the Popular MNIST Dataset With 50 000 New Images

29 May 2019

Researchers Expanded the Popular MNIST Dataset With 50 000 New Images

Researchers from New York University and Facebook AI Research have restored and expanded the wide known MNIST dataset. Their idea was to recover the original MNIST (who is assumed to…

Two Cameras Can Provide LiDAR-like Object Detection for Self-Driving

29 May 2019

Two Cameras Can Provide LiDAR-like Object Detection for Self-Driving

Researchers from Cornell University NY, led by Yan Wang have come up with an interesting idea on how to bridge the gap in accuracy between 2D and 3D object detection…

Speech2Face: Neural Network Predicts the Face Behind a Voice

27 May 2019

Speech2Face: Neural Network Predicts the Face Behind a Voice

In a paper published recently, researchers from MIT’s Computer Science & Artificial Intelligence Laboratory have proposed a method for learning a face from audio recordings of that person speaking. The…