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07/31/2023
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration
Deep learning has achieved remarkable success in the field of bearing fa...
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05/16/2023
Deep ReLU Networks Have Surprisingly Simple Polytopes
A ReLU network is a piecewise linear function over polytopes. Figuring o...
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05/13/2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
The networks for point cloud tasks are expected to be invariant when the...
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05/11/2023
Rethink Depth Separation with Intra-layer Links
The depth separation theory is nowadays widely accepted as an effective ...
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04/28/2023
Recognizable Information Bottleneck
Information Bottlenecks (IBs) learn representations that generalize to u...
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04/22/2023
Fast MRI Reconstruction via Edge Attention
Fast and accurate MRI reconstruction is a key concern in modern clinical...
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04/13/2023
EWT: Efficient Wavelet-Transformer for Single Image Denoising
Transformer-based image denoising methods have achieved encouraging resu...
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03/29/2023
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
In this paper, we propose a randomly projected convex clustering model f...
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03/24/2023
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution
Stereo image super-resolution aims to boost the performance of image sup...
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03/11/2023
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks
Inspired by neuronal diversity in the biological neural system, a pletho...
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02/14/2023
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm
K-Means algorithm is a popular clustering method. However, it has two li...
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01/23/2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks
Throughout history, the development of artificial intelligence, particul...
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01/15/2023
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos
The accurate detection of sperms and impurities is a very challenging ta...
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10/11/2022
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework
The Retinex model is one of the most representative and effective method...
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10/09/2022
Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge
Non-blind deblurring methods achieve decent performance under the accura...
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09/29/2022
Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks
Spherical image processing has been widely applied in many important fie...
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07/11/2022
Snow Mask Guided Adaptive Residual Network for Image Snow Removal
Image restoration under severe weather is a challenging task. Most of th...
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05/13/2022
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
Gaussian process regression (GPR) has been a well-known machine learning...
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04/29/2022
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
Single image denoising (SID) has achieved significant breakthroughs with...
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04/28/2022
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
Single-image super-resolution (SISR) has achieved significant breakthrou...
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04/19/2022
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
Recently, deep convolution neural networks (CNNs) steered face super-res...
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11/03/2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Quantifying the uncertainty of supervised learning models plays an impor...
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09/29/2021
From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution
Single-image super-resolution (SISR) is an important task in image proce...
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08/20/2021
Structure-Preserving Deraining with Residue Channel Prior Guidance
Single image deraining is important for many high-level computer vision ...
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04/16/2021
Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs
There has been an arising trend of adopting deep learning methods to stu...
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03/31/2021
Rank-One Prior: Toward Real-Time Scene Recovery
Scene recovery is a fundamental imaging task for several practical appli...
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11/20/2020
Edge Adaptive Hybrid Regularization Model For Image Deblurring
A spatially fixed parameter of regularization item for whole images does...
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10/31/2020
Overlapping Domain Decomposition Methods for Ptychographic Imaging
In ptychography experiments, redundant scanning is usually required to g...
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09/14/2020
Residual Learning for Effective joint Demosaicing-Denoising
Image demosaicing and denoising are key steps for color image production...
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05/25/2020
Deep Tensor CCA for Multi-view Learning
We present Deep Tensor Canonical Correlation Analysis (DTCCA), a method ...
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12/04/2019
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points
We focus on developing a novel scalable graph-based semi-supervised lear...
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05/21/2019
A Two-stage Classification Method for High-dimensional Data and Point Clouds
High-dimensional data classification is a fundamental task in machine le...
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04/23/2019
Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness
Recovering a signal from its Fourier magnitude is referred to as phase r...
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07/26/2018
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation
The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fat...
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05/30/2015