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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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08/21/2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Deep neural networks are vulnerable to adversarial examples crafted by a...
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08/09/2023
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem
For prohibitively large-scale Travelling Salesman Problems (TSPs), exist...
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06/29/2023
A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series Data
Accurate and timely detection of plant stress is essential for yield pro...
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06/08/2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima
Transfer-based attack adopts the adversarial examples generated on the s...
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05/04/2023
Noise-Resistant Multimodal Transformer for Emotion Recognition
Multimodal emotion recognition identifies human emotions from various da...
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05/04/2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...
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11/24/2022
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation
Self-supervised facial representation has recently attracted increasing ...
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10/12/2022
Explore Contextual Information for 3D Scene Graph Generation
3D scene graph generation (SGG) has been of high interest in computer vi...
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09/02/2022
PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering
Recovering high quality surfaces from noisy point clouds, known as point...
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08/11/2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
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08/01/2022
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild
Dynamic facial expression recognition (FER) databases provide important ...
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03/29/2022
On Convergence of General Truncation-Augmentation Schemes for Approximating Stationary Distributions of Markov Chains
In the analysis of Markov chains and processes, it is sometimes convenie...
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01/17/2022
Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN
The proposal of perceptual loss solves the problem that per-pixel differ...
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12/18/2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Recently, model-driven deep learning unrolls a certain iterative algorit...
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12/01/2021
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning
Purpose: To propose a novel deep learning-based method called RG-Net (re...
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09/17/2021
Expression Snippet Transformer for Robust Video-based Facial Expression Recognition
The recent success of Transformer has provided a new direction to variou...
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08/16/2021
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment
Imprecise vowel articulation can be observed in people with Parkinson's ...
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06/23/2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
Federated Learning (FL) has become an active and promising distributed m...
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06/22/2021
Learned Interpretable Residual Extragradient ISTA for Sparse Coding
Recently, the study on learned iterative shrinkage thresholding algorith...
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03/22/2021
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
Video super-resolution (VSR) aims at restoring a video in low-resolution...
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11/26/2020
Outlier-robust Kalman Filter in the Presence of Correlated Measurements
We consider the robust filtering problem for a state-space model with ou...
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10/31/2020
Differentially Private ADMM Algorithms for Machine Learning
In this paper, we study efficient differentially private alternating dir...
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10/21/2020
Boosting Gradient for White-Box Adversarial Attacks
Deep neural networks (DNNs) are playing key roles in various artificial ...
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08/24/2020
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution
Spherical videos, also known as 360 (panorama) videos, can be viewed wit...
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07/25/2020
Video Super Resolution Based on Deep Learning: A comprehensive survey
In recent years, deep learning has made great progress in the fields of ...
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12/20/2019
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling
Deep learning has achieved good success in cardiac magnetic resonance im...
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12/02/2019
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
Large-scale non-convex sparsity-constrained problems have recently gaine...
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05/24/2019
Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition
Multi-view facial expression recognition (FER) is a challenging task bec...
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12/04/2018
Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling
We propose a new sampler that integrates the protocol of parallel temper...
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11/08/2018
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series
Volatility is a quantity of measurement for the price movements of stock...
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10/11/2018
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
The heavy-tailed distributions of corrupted outliers and singular values...
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02/28/2018
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
The Schatten quasi-norm was introduced to bridge the gap between the tra...
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02/26/2018
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
In this paper, we propose a novel sufficient decrease technique for stoc...
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11/30/2017
Thermostat-assisted Continuous-tempered Hamiltonian Monte Carlo for Multimodal Posterior Sampling
In this paper, we propose a new sampling method named as the thermostat-...
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07/11/2017
Accelerated Variance Reduced Stochastic ADMM
Recently, many variance reduced stochastic alternating direction method ...
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03/23/2017
Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning
Recently, research on accelerated stochastic gradient descent methods (e...
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03/20/2017
Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent
In this paper, we propose a novel sufficient decrease technique for vari...
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06/04/2016
Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization
The Schatten-p quasi-norm (0<p<1) is usually used to replace the standar...
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06/02/2016
Unified Scalable Equivalent Formulations for Schatten Quasi-Norms
The Schatten quasi-norm can be used to bridge the gap between the nuclea...
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09/03/2014
