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Found 15 papers, 8 papers with code
Layer 2 Atomic Cross-Blockchain Function Calls
Existing atomic cross-blockchain function call protocols are Blockchain Layer 1 protocols, which require changes to the blockchain platform software to operate.
Cryptography and Security
General Purpose Atomic Crosschain Transactions
The General Purpose Atomic Crosschain Transaction protocol allows composable programming across multiple Ethereum blockchains.
Cryptography and Security
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets
Training deep neural networks on large scientific data is a challenging task that requires enormous compute power, especially if no pre-trained models exist to initialize the process.
Performance Overhead of Atomic Crosschain Transactions
Atomic Crosschain Transaction technology allows composable programming across permissioned Ethereum blockchains.
Cryptography and Security
Atomic Crosschain Transactions for Ethereum Private Sidechains
Ethereum Private Sidechains is a private blockchain technology which allows many blockchains to be operated in parallel.
Cryptography and Security
Atomic Crosschain Transactions White Paper
Atomic Crosschain Transaction technology allows composable programming across private Ethereum blockchains.
Cryptography and Security
Face Alignment Assisted by Head Pose Estimation
In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation.
Anonymous State Pinning for Private Blockchains
Existing solutions offering pinning to the public blockchain would reveal the transaction rate of the private blockchain, and do not provide a mechanism to contest the validity of a pin.
Cryptography and Security
GazeDirector: Fully Articulated Eye Gaze Redirection in Video
We present GazeDirector, a new approach for eye gaze redirection that uses model-fitting.
An Empirical Study of Recent Face Alignment Methods
In this paper, we carry out a rigorous evaluation of these methods by making the following contributions: 1) we proposes a new evaluation metric for face alignment on a set of images, i. e., area under error distribution curve within a threshold, AUC$_\alpha$, given the fact that the traditional evaluation measure (mean error) is very sensitive to big alignment error.
Human and Sheep Facial Landmarks Localisation by Triplet Interpolated Features
Furthermore, we study the impact of training data imbalance on model performance and propose a training sample augmentation scheme that produces more initialisations for training samples from the minority.
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Images of the eye are key in several computer vision problems, such as shape registration and gaze estimation.
The state of play of ASC-Inclusion: An Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions
Individuals with Autism Spectrum Conditions (ASC) have marked difficulties using verbal and non-verbal communication for social interaction.
Enabling Machine Learning-Ready HPC Ensembles with Merlin
With the growing complexity of computational and experimental facilities, many scientific researchers are turning to machine learning (ML) techniques to analyze large scale ensemble data.
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
The development of Graph Representation Learning methods for heterogeneous graphs is fundamental in several real-world applications, since in several contexts graphs are characterized by different types of nodes and edges.
