Landing AI ‘Social Distancing Detector’ Monitors Workplaces
Silicon Valley based Landing AI introduced a new AI-enabled social distancing detection tool designed to help monitor and enforce physical distancing protocols in workplaces.
Category: Computer Vision & Graphics
Stephen Wolfram: The Path to a Fundamental Theory of Physics May Begin With a Hypergraph
Wolfram announced this week that he may have found a path that leads to a fundamental theory of physics, and that it is “beautiful.”
Unsupervised Image-to-Image Translation Turns Selfies Into Anime Characters
Anyone can simply upload a selfie to the ‘Selfie 2 Waifu’ website to create their own AI-generated waifu-style anime character in seconds.
OpenAI Puts CV Models Under Their Microscope
Just as biologists gain insights into organisms by putting model specimens under their microscopes, AI Microscope was designed to help researchers analyze the features that form inside leading CV models.
Hi-Res Image-To-Image Daytime Translation Without Labels
In a bid to generate high-resolution images showing realistic daytime changes while keeping accurate scene semantics, researchers have proposed a novel image-to-image translation model, HiDT (High Resolution Daytime Translation).
‘Active Neural Slam’ Uses Classical and Learning Approaches to Explore 3D Spaces
Researchers have introduced Active Neural SLAM, a modular and hierarchical approach to learning policies for exploring 3D environments.
New NVIDIA and Heidelberg University Viewpoint Estimation Technique Learns From Unlabelled Images
A team of researchers from NVIDIA and Heidelberg University recently introduced an open-source self-supervised learning technique for viewpoint estimation of general objects that draws on such freely available Internet images.
AI Transforms RGB-D Images Into an Impressive 3D Format
Researchers from Virginia Tech, National Tsing Hua University and Facebook have introduced a game-changing algorithm that generates impressive 3D photos from a single RGB-D (colour and depth) image.
AI-Powered Digital People
Synced has identified some interesting AI-powered virtual humans to introduce to our readers.
Use the Force! AI Predicts Human-Object Contact Points and Forces From Video
In a new study, researchers use a physics simulator to learn to predict physical forces in videos of humans interacting with objects.
Deep Fashion3D: Dataset & Benchmark for Virtual Clothing Try-On and More
Deep Fashion3D contains 2,078 3D garment models reconstructed from real-world garments in 10 different clothing categories.
Improving Image Matching: New Open-Source Benchmark with 30K Images
The new benchmark for wide-baseline image matching includes a 30k image dataset with depth maps and accurate pose information.
DarwinAI Open-Sources COVID-Net as Medical Imaging in COVID-19 Diagnosis Debate Continues
Researchers recently developed and open-sourced COVID-Net, a convolutional neural network for detecting COVID-19 through chest radiography.
‘Front2Back’ AI Reconstructs 3D Shapes from 2D Images
Their proposed framework outperforms state-of-the-art approaches for 3D reconstructions from 2D and 2.5D data, achieving 12 percent better performance on average in the ShapeNet benchmark dataset and up to 19 percent for certain classes of objects.
AI Deciphers Persian Cuneiform Tablets from 25 Centuries Ago
Researchers from the University of Chicago Oriental Institute (OI) and the Department of Computer Science have introduced an artificial intelligence tool called DeepScribe designed to read cuneiform tablets from 25 centuries ago.
New Compression Method Enables Conditional GANs on Edge Devices
A research team from MIT, Adobe Research, and Shanghai Jiao Tong University have introduced a novel method for reducing the cost and size of Conditional GAN generators.
Google Introduces Neuroevolution for Self-Interpretable Agents
Researchers from Google Brain Tokyo and Google Japan have proposed a novel approach that helps guide reinforcement learning (RL) agents to what’s important in vision-based tasks.
Impact of ImageNet Model Selection on Domain Adaptation
Researchers investigate how different ImageNet models affect transfer accuracy on domain adaptation problems.
2019 Turing Award Honours Computer Graphics Pioneers Hanrahan and Catmull
The Association for Computing Machinery (ACM) this morning announced Patrick M. (Pat) Hanrahan and Edwin E. (Ed) Catmull as its 2019 Turing Award winners.
AI CT Scan Analysis for COVID-19 Detection and Patient Monitoring
A research team has proposed non-contrast thoracic chest CT scans as an effective tool for detecting, quantifying, and tracking COVID-19.
Beyond Lipreading: Visual Speech Recognition Looks You in the Eye
A new study suggests that VSR models could perform even better if they used additional available visual information.
Chinese Researchers Use CNNs to Classify 3000-Year-Old Oracle Bone Scripts
The earliest evidence of China’s recorded history is found in the Shang dynasty (~1600 to 1046 BC), and this hasContinue Reading
Synthesized Paired Data Boosts Facial Manipulation
The model outperforms existing methods in image manipulation and offers researchers a possible solution to the scarcity of paired datasets.
Spotting Generated Images Just Got Much Easier
UC Berkeley and Adobe Research have introduced a “universal” detector that can distinguish real images from generated images regardless of what architectures and/or datasets were used for training.
CookGAN Generates Realistic Meal Images From an Ingredients List
Proposed by researchers from the Rutgers University and Samsung AI Center in the UK, CookGAN uses an attention-based ingredients-image association model to condition a generative neural network tasked with synthesizing meal images.
KaoKore: New Facial Dataset from Japanese Scrolls for ML
The KaoKore dataset includes 5552 RGB image files drawn from the 2018 Collection of Facial Expressions dataset of cropped face images from Japanese artworks.
Robot Lovers Rejoice! Fei-Fei Li Stanford Team Crowd-Sources World’s Largest Robot Manipulation Dataset
The crowdsourcing produced 111.25 hours of video from 54 non-expert demonstrators to build “one of the largest, richest, and most diverse robot manipulation datasets ever collected using human creativity and dexterity.”
AI Enables Doctors to Diagnose COVID-19 Infection in Seconds
Fast and accurate diagnosis is critical on the front line, and now an AI-powered diagnostic assessment system is helping Hubei medical teams do just that.
Aerial Visual Search of the Continental USA in 0.1 Seconds
The proposed system is capable of searching the continental United States at 1 -meter pixel resolution, corresponding to approximately 2 billion images, in around 0.1 seconds.
MonoLayout | Bird’s-Eye Layout Estimation from A Single Image
MonoLayout, a practical deep neural architecture that takes just a single image of a road scene as input and outputs an amodal scene layout in bird’s-eye view.
Bengio and Mila Researchers Use GAN Images to Illustrate Impact of Climate Change
In a bid to raise awareness of the threats posed by climate change, the Mila team recently published a paper that uses GANs to generate images of how climate events may impact our environments — with a particular focus on floods.
YOLO Creator Joseph Redmon Stopped CV Research Due to Ethical Concerns
Joseph Redmon, creator of the popular object detection algorithm YOLO, tweeted last week that he had ceased his computer vision research to avoid enabling potential misuse of the tech.
Introduction to Deep Learning for Graphs and Where It May Be Heading
Researchers from Italy’s University of Pisa present a clear and engaging tutorial on the main concepts and building blocks involved in neural architectures for graphs.
Anime-zing GANILLA for Ghibli Style Image Transfer
Researchers have proposed a novel generator network specialized on the illustrations in children’s books.
Geoffrey Hinton & Google Brain Unsupervised Learning Algorithm Improves SOTA Accuracy on ImageNet by 7%
Researchers have proposed a simple but powerful “SimCLR” framework for contrastive learning of visual representations.
Allen Institute’s New ‘Computer Vision Explorer’ Lets Researchers Demo SOTA CV Models
The tool enables researchers to try, compare, and evaluate models to decide which work best on their datasets or for their research purposes.
‘ClearGrasp’ Helps Robots See and Grasp Transparent Objects
Google teamed up with researchers from Synthesis AI and Columbia University to introduce a deep learning approach called ClearGrasp as a first step to teaching machines how to “see” transparent materials.
Google Brain & CMU Semi-Supervised ‘Noisy Student’ Achieves 88.4% Top-1 Accuracy on ImageNet
Researchers from Google Brain and Carnegie Mellon University have released models trained with a semi-supervised learning method called “Noisy Student” that achieve 88.4 percent top-1 accuracy on ImageNet.
Beyond SPADE: Introducing Semantic Region-Adaptive Normalization for Image Synthesis
Researchers introduced semantic region-adaptive normalization (SEAN), a simple but effective building block for conditional Generative Adversarial Networks (cGAN).
Facebook Open-Sources PyTorch3D CV Library
In a bid to simplify 3D deep learning and improve processing performance and efficiency, Facebook recently introduced an open-source framework for 3D computer vision.