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Found 19 papers, 7 papers with code
End-to-End Reaction Field Energy Modeling via Deep Learning based Voxel-to-voxel Transform
In computational biochemistry and biophysics, understanding the role of electrostatic interactions is crucial for elucidating the structure, dynamics, and function of biomolecules.
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal
Specifically, the predictor estimates pixel offsets between the first and second compression, which are then utilized to divide different patterns.
Compressed Video Quality Enhancement with Temporal Group Alignment and Fusion
In this paper, we propose a temporal group alignment and fusion network to enhance the quality of compressed videos by using the long-short term correlations between frames.
Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation
The accuracy and robustness of 3D human pose estimation (HPE) are limited by 2D pose detection errors and 2D to 3D ill-posed challenges, which have drawn great attention to Multi-Hypothesis HPE research.
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
Specifically, the ITA module aggregates temporal information from consecutive frames and coding priors, while the MNA module globally captures spatial information guided by residual frames.
Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
Its core innovation is a novel modality-bridging method that allows a set of modality-specific queries to be input as soft prompts into a frozen pre-trained language model.
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
In this study, we present an AI system developed to detect and screen cardiac abnormalities (CAs) from real-world ECG images.
TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning
In addition, the comprehensive experiments of TCMPR with different hyper parameters (i. e., feature embedding, feature dimension and feature fusion) that demonstrates that our method has high performance on TCM prescription recommendation and potentially promote clinical diagnosis and treatment of TCM precision medicine.
Cross-domain Joint Dictionary Learning for ECG Inference from PPG
The inverse problem of inferring electrocardiogram (ECG) from photoplethysmogram (PPG) is an emerging research direction that combines the easy measurability of PPG and the rich clinical knowledge of ECG for long-term continuous cardiac monitoring.
Multi-scale Information Assembly for Image Matting
Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.
Inferring ECG from PPG for Continuous Cardiac Monitoring Using Lightweight Neural Network
This paper presents a computational solution that enables continuous cardiac monitoring through cross-modality inference of electrocardiogram (ECG).
Learning Decomposed Representation for Counterfactual Inference
The fundamental problem in treatment effect estimation from observational data is confounder identification and balancing.
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
Infectious keratitis is the most common entities of corneal diseases, in which pathogen grows in the cornea leading to inflammation and destruction of the corneal tissues.
Adaptive Multi-Trace Carving for Robust Frequency Tracking in Forensic Applications
In the field of information forensics, many emerging problems involve a critical step that estimates and tracks weak frequency components in noisy signals.
PyXtal: a Python Library for Crystal Structure Generation and Symmetry Analysis
We present PyXtal, a new package based on the Python programming language, used to generate structures with specific symmetry and chemical compositions for both atomic and molecular systems.
Materials Science Computational Physics
Respiratory Rate Estimation from Face Videos
Commercial cameras are promising contact-free sensors, and remote photoplethysmography (rPPG) have been studied to remotely monitor heart rate from face videos.
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem
We build our 2P-DNN model based on LeNet-5, and test it with the encrypted MNIST dataset.
Predicting phase behavior of grain boundaries with evolutionary search and machine learning
The study of grain boundary phase transitions is an emerging field until recently dominated by experiments.
Materials Science
A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals
This was done in order to improve the classification performance of these two classes of heartbeats by using different features and classification methods.
Ranked #2 on
Heartbeat Classification
on MIT-BIH AR
