Raphaël C.‐W. Phan
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View article: T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models Open
Functional Magnetic Resonance Imaging (fMRI) is an advanced neuroimaging method that enables in-depth analysis of brain activity by measuring dynamic changes in the blood oxygenation level-dependent (BOLD) signals. However, the resource-in…
View article: Graph‐Regularized Manifold‐Aware Conditional Wasserstein <scp>GAN</scp> for Brain Functional Connectivity Generation
Graph‐Regularized Manifold‐Aware Conditional Wasserstein <span>GAN</span> for Brain Functional Connectivity Generation Open
Common measures of brain functional connectivity (FC) including covariance and correlation matrices are symmetry‐positive definite (SPD) matrices residing on a cone‐shaped Riemannian manifold. Despite its remarkable success for Euclidean‐v…
View article: @LM DeceptionNet: A multimodal approach for efficient transfer learning-based deception detection
@LM DeceptionNet: A multimodal approach for efficient transfer learning-based deception detection Open
View article: Denoising via Repainting: an image denoising method using layer wise medical image repainting
Denoising via Repainting: an image denoising method using layer wise medical image repainting Open
Medical image denoising is essential for improving the reliability of clinical diagnosis and guiding subsequent image-based tasks. In this paper, we propose a multi-scale approach that integrates anisotropic Gaussian filtering with progres…
View article: Seeing in the Dark: A Teacher-Student Framework for Dark Video Action Recognition via Knowledge Distillation and Contrastive Learning
Seeing in the Dark: A Teacher-Student Framework for Dark Video Action Recognition via Knowledge Distillation and Contrastive Learning Open
Action recognition in dark or low-light (under-exposed) videos is a challenging task due to visibility degradation, which can hinder critical spatiotemporal details. This paper proposes ActLumos, a teacher-student framework that attains si…
View article: Anatomy-to-Tract Mapping Infers White Matter Pathways Without Diffusion Streamline Propagation
Anatomy-to-Tract Mapping Infers White Matter Pathways Without Diffusion Streamline Propagation Open
Diffusion tractography, a cornerstone of white matter mapping, relies on point-to-point stream-line propagation—a process often compromised by errors stemming from inadequate signal-to-noise ratio and limited spatioangular resolution in di…
View article: Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling Open
Energy based models (EBMs) are appealing for their generality and simplicity in data likelihood modeling, but have conventionally been difficult to train due to the unstable and time-consuming implicit MCMC sampling during contrastive dive…
View article: Enhancing single-pixel imaging reconstruction using hybrid transformer network with adaptive feature refinement
Enhancing single-pixel imaging reconstruction using hybrid transformer network with adaptive feature refinement Open
Single-pixel imaging (SPI) is a novel imaging technique that applies to acquiring spatial information under low light, high absorption, and backscattering conditions. The existing reconstruction techniques, such as pattern analysis and sig…
View article: A Transformer-free signal encoding module for efficient networked AI systems
A Transformer-free signal encoding module for efficient networked AI systems Open
This research introduces a framework for constructing networked artificial intelligence systems featuring a lightweight neural network front-end tailored for long and intricate sequential data, such as audio voice recordings and health sig…
View article: Toward end-to-end interpretable convolutional neural networks for waveform signals
Toward end-to-end interpretable convolutional neural networks for waveform signals Open
This paper introduces a novel convolutional neural networks (CNN) framework tailored for end-to-end audio deep learning models, presenting advancements in efficiency and explainability. By benchmarking experiments on three standard speech …
View article: ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos Open
Human action or activity recognition in videos is a fundamental task in computer vision with applications in surveillance and monitoring, self-driving cars, sports analytics, human-robot interaction and many more. Traditional supervised me…
View article: Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification Open
Brain functional connectivity (FC) networks inferred from functional magnetic resonance imaging (fMRI) have shown altered or aberrant brain functional connectome in various neuropsychiatric disorders. Recent application of deep neural netw…
View article: Sparconet with Block-Switched Self-Supervised Learning: An Effective Framework for Deepfake Detection with Improved Adversarial Defense
Sparconet with Block-Switched Self-Supervised Learning: An Effective Framework for Deepfake Detection with Improved Adversarial Defense Open
View article: Emotion-specific AUs for micro-expression recognition
Emotion-specific AUs for micro-expression recognition Open
The Facial Action Coding System (FACS) comprehensively describes facial expressions with facial action units (AUs). It is a well-used technique by researchers in emotions research to understand human emotions better. Most micro-expression …
View article: Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework Open
Recently, data-driven models such as deep neural networks have shown to be promising tools for modelling and state inference in soft robots. However, voluminous amounts of data are necessary for deep models to perform effectively, which re…
View article: A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification Open
Recent applications of pattern recognition techniques on brain connectome classification using functional connectivity (FC) are shifting towards acknowledging the non-Euclidean topology and dynamic aspects of brain connectivity across time…
View article: Efficient Single-Pixel Imaging Reconstruction Using a Hybrid Convolutional-Transformer Network with Adaptive Feature Refinement
Efficient Single-Pixel Imaging Reconstruction Using a Hybrid Convolutional-Transformer Network with Adaptive Feature Refinement Open
View article: A Survey on Exotic Signatures for Post-quantum Blockchain: Challenges and Research Directions
A Survey on Exotic Signatures for Post-quantum Blockchain: Challenges and Research Directions Open
Blockchain technology provides efficient and secure solutions to various online activities by utilizing a wide range of cryptographic tools. In this article, we survey the existing literature on post-quantum secure digital signatures that …
View article: Cube attacks on round-reduced TinyJAMBU
Cube attacks on round-reduced TinyJAMBU Open
View article: Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images Open
GAN-generated deepfakes as a genre of digital images are gaining ground as both catalysts of artistic expression and malicious forms of deception, therefore demanding systems to enforce and accredit their ethical use. Existing techniques f…
View article: Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification Open
Brain functional connectivity (FC) reveals biomarkers for identification of various neuropsychiatric disorders. Recent application of deep neural networks (DNNs) to connectome-based classification mostly relies on traditional convolutional…
View article: Random Differential Fault Attacks on the Lightweight Authenticated Encryption Stream Cipher Grain-128AEAD
Random Differential Fault Attacks on the Lightweight Authenticated Encryption Stream Cipher Grain-128AEAD Open
Grain-128AEAD is a lightweight authenticated encryption stream cipher and one of the finalists in the National Institute of Standards and Technology (NIST) Lightweight Cryptography (LWC) project. This paper provides an independent third-pa…
View article: FACS-Based Graph Features for Real-Time Micro-Expression Recognition
FACS-Based Graph Features for Real-Time Micro-Expression Recognition Open
Several studies on micro-expression recognition have contributed mainly to accuracy improvement. However, the computational complexity receives lesser attention comparatively and therefore increases the cost of micro-expression recognition…
View article: Emotional manifestations of humanoids of the future
Emotional manifestations of humanoids of the future Open
This article puts forth a vision of what emotionally manifesting capabilities the robots of the future will have, and then details the latest state-of-the-art techniques in the current computer science, engineering and psychological litera…
View article: Advances in security research in the Asiacrypt region
Advances in security research in the Asiacrypt region Open
Members of the International Association for Cryptologic Research explore regional work and collaboration activities.
View article: Paradigm Shifts in Cryptographic Engineering
Paradigm Shifts in Cryptographic Engineering Open
The papers in this special section identify paradigm shifts in cryptographic engineering. Modern cryptography is almost five decades old, and we have seen some interesting breakthroughs throughout its relatively young history. These includ…
View article: A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges
A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges Open
Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic in…
View article: Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition Open
Facial micro-expression (ME) recognition has posed a huge challenge to researchers for its subtlety in motion and limited databases. Recently, handcrafted techniques have achieved superior performance in micro-expression recognition but at…
View article: Parallel and High Speed Hashing in GPU for Telemedicine Applications
Parallel and High Speed Hashing in GPU for Telemedicine Applications Open
With the advent of a telemedicine technology, many medical services can be provided remotely, which greatly enhances the welfare of our mankind. However, security and privacy of medical data transmitted through telecommunication systems re…
View article: Less is more: Micro-expression recognition from video using apex frame
Less is more: Micro-expression recognition from video using apex frame Open