Fewer Cameras and Faster Processing: USC Proposes Monocular Real-Time Volumetric Performance Capture
A novel volumetric capture system that is capable of fully capturing clothed human bodies in real-time using only a single RGB webcam.
Category: Research
Technical review of the newest machine intelligence research.
ECCV 2020 Best Paper Award Goes to Princeton Team
The 16th European Conference on Computer Vision (ECCV) kicked off on Sunday as a fully online conference. In the Conference Opening Session this morning, the ECCV organizing committee announced the conference’s paper submission stats and Best Paper selections.
CUHK & Facebook Demonstrate SOTA Monocular 3D Hand Motion Capture Method ‘FrankMocap’
Researchers from The Chinese University of Hong Kong, Facebook Reality Labs, and Facebook AI Research have unveiled a state-of-the-art monocular 3D hand motion capture method, FrankMocap, which can estimate both 3D hand and body motions from in-the-wild monocular inputs with faster speed and better accuracy than previous approaches.
Sepp Hochreiter on Parallels Between Attention Mechanisms and Modern Hopfield Networks
Researchers argue that “attention mechanism is the update rule of a modern Hopfield network with continuous states.”
New ML Algorithm Tunes Quantum Devices Faster Than Human Experts
The proposed algorithm is approximately 180 times faster than an automated random search of the parameter space.
Using Deep RL to Model Human Locomotion Control in Neuromechanical Simulations
Researchers from Stanford University, UC Berkeley and CMU review neuromechanical simulations and DRL, with a focus on modelling the control of human locomotion.
MRI Study Reveals Arterial Culprit Plaque Characteristics
Researchers developed a head-neck combined HR-MRVWI technique that could potentially provide remarkable suppression of cerebrospinal fluid signals.
Fast and Furious! DRL-Fuelled Agents Grab Pole Position in Gran Turismo Sport
University of Zurich and ETH Zurich’s deep reinforcement learning agents have achieved superhuman performance in the time trials of popular racing simulator game Gran Turismo Sport.
Tesla Video Data Processing Supercomputer ‘Dojo’ – Building a 4D System Aiming at L5 Self-Driving
Elon Musk tweeted that Tesla is recruiting AI or chip talents for the company’s neural network training supercomputer project “Dojo.”
DeepMind & McGill Employ Operations Generalization to Divide & Conquer Complex RL Problems
DeepMind and McGill University researchers believe the problem could be solved through a strategic “divide-and-conquer” approach.
Yoshua Bengio’s Improved Rate-Based Curriculum Learning Outperforms Progress-Based Algorithms
Bengio and researchers from Université de Montréal and the École Normale Supérieure in Paris have introduced a new curriculum learning algorithm based on the notion of mastering rate.
Google Introduces NLP Model Understanding Tool
Google Research released a paper tackling this issue with a new open-source analytic platform: the Language Interpretability Tool (LIT).
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
To adapt conventional deep models to real scenarios, a research work carried by a team (XPixel) from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences investigated the use of additional branches to tune imagery effects.
Advancing Safety & Privacy for Trustworthy AI Inference Systems
Researchers from academia and industry offer input on the design, deployment, and operation of trustworthy AI inference systems.
Love-Love: Stanford Researchers Generate Realistic ‘Fake’ Wimbledon
A Stanford University research team has responded with an AI-powered model capable of realistically simulating a Wimbledon final and more.
How Smart is BERT? Evaluating the Language Model’s Commonsense Knowledge
Researchers dive deep into the large language model to discover how it encodes the structured commonsense knowledge it leverages on downstream commonsense tasks.
SIAT Researchers Propose Effective Method for Skin Lesion Segmentation
Researchers proposed a novel and effective automatic segmentation method by using Generative Adversarial Networks with dual discriminators.
Introducing Holicity: A City-Scale Dataset for Learning Holistic 3D Structures
HoliCity, a city-scale dataset and all-in-one data platform for research into learning abstracted high-level holistic 3D structures derived from city CAD (computer-aided design) models.
Tour the World From Your Couch: Google ‘NeRF-W’ Delivers Accurate 3D Scene Reconstruction of Complex Outdoor Environments
Google researchers have introduced a series of extensions to the SOTA view-synthesis method Neural Radiance Fields (NeRF) that enable it to produce high-quality 3D representations of complex scenes with only unstructured image collections as input.
Preferred Networks Releases Optuna v2.0
Open-source library for machine learning now gives the ability to evaluate which hyperparameters most affect performance.
Eyes on Me: Google AI ‘MediaPipe Iris’ Improves Iris Tracking and Distance Estimation
MediaPipe Iris, a novel machine learning model designed to deliver accurate iris estimation without using depth sensors.
Pixel2Style2Pixel: Novel Encoder Architecture Boosts Facial Image-To-Image Translation
Researchers from Penta-AI and Tel-Aviv University introduce a generic image-to-image translation framework dubbed Pixel2Style2Pixel (pSp).
SIAT Researchers Design Novel Deep Learning System to Assess Skeletal Maturity
Researchers introduced an ensemble-based deep learning pipeline to automatically assess the distal radius and ulna (DRU) maturity from left-hand radiographs.
ArXiv’s 1.7M+ Research Papers Now Available on Kaggle
ArXiv announced that all of its research papers are now available on Kaggle.
DeepMind & Google Explore Hyperparameter Selection for Offline RL
Researchers conducted a thorough empirical study of hyperparameter selection for offline RL, aiming to identify and develop more reliable and effective approaches.
Unselfie Turns Arm-Extended Selfies into Neutral-Pose Portraits
“Unselfie,” a novel photographic transformation model that can automatically translate selfies into neutral-pose portraits.
AI Generator Learns to ‘Draw’ Like Cartoonist Lee Mal-Nyeon in Just 10 Hours
A Seoul National University Master’s student and developer has trained a face generating model to transfer normal face photographs into cartoon images in the distinctive style of Lee Mal-nyeon.
As Its GPT-3 Model Wows the World, OpenAI CEO Suggests ‘the Hype Is Way Too Much’
OpenAI’s 175 billion parameter language model GPT-3 has gone viral once again.
Google ‘BigBird’ Achieves SOTA Performance on Long-Context NLP Tasks
BigBird is shown to dramatically improve performance across long-context NLP tasks, producing SOTA results in question answering and summarization.
Chinese AI Startup SenseTime considers IPO on STAR Market
Chinese AI start-up SenseTime is considering IPO on Shanghai Stock Exchange’s STAR Market.
Applying Linearly Scalable Transformers to Model Longer Protein Sequences
Researchers proposed a new transformer architecture called “Performer” — based on what they call fast attention via orthogonal random features (FAVOR).
AI-Powered ‘Genderify’ Platform Shut Down After Bias-Based Backlash
Genderify is an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address.
Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch Users
PFRL succeeds ChainerRL as comprehensive library with cutting-edge deep reinforcement learning algorithms and features.
MLPerf Training v0.7 Results Released: Google & NVIDIA Lead the Race
The industry-standard MLPerf benchmark today released the results of the third round of its ongoing ML Training Systems competition.
Google Proposes Lasso Algorithm Variant for Learning Convolutions: ‘Bridging the Gap Between Fully-Connected and Convolutional Nets’
Unlike previous work that suggested fully-connected networks can only deliver subpar performance, Neyshabur’s experiments showed a significant performance jump.
Asia China Computer Vision & Graphics Health Machine Learning & Data Science Research Shenzhen Institute of Advanced Technology
About Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
SIAT aims to enhance the innovative capacity of the equipment manufacturing and service industries in the Guangdong-Hong Kong region, promote the development of emerging industries possessing their own proprietary intellectual property, and become a world-class industrial research institute.
China’s Semiconductor Boom: 72 Chip Companies Receive CN ¥26.7 Billion in 2020
According to Chinese media Zhidongxi, from the second quarter of this year to July 23, public record shows 77 semiconductor-related financing activities in China.
SIAT Researchers Propose Novel Correction Method for Gas Sensor Drift Problem
Researchers developed a subspace learning-based domain adaptation method, which could potentially alleviate the gas sensor drift problem.
New White-Box Framework Will Cartoonize Your World
This framework can generate high-quality cartoonized images with much-improved controllability.
Alibaba and Accenture Report Share Insights on Post-COVID AI Development in China
On July 27, 2020, Alibaba Cloud Research Center and Accenture jointly launched the “The Penetrative and Explosive Power of AI Dividend” white paper, as part of the “China Enterprise 2020” series report.