Neural Networks

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 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…

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…

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…

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,…

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…

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 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…

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…

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…

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…

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…

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…

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,…

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…

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…

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…

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 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…

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…