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05/17/2023
Binarized Spectral Compressive Imaging
Existing deep learning models for hyperspectral image (HSI) reconstructi...
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03/12/2023
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
When enhancing low-light images, many deep learning algorithms are based...
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05/20/2022
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
How to properly model the inter-frame relation within the video sequence...
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05/20/2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems,...
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05/14/2022
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation
The common item-based collaborative filtering framework becomes a typica...
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04/17/2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Existing leading methods for spectral reconstruction (SR) focus on desig...
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03/09/2022
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
Many algorithms have been developed to solve the inverse problem of code...
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03/04/2022
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
The rapid development of deep learning provides a better solution for th...
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01/06/2022
Flow-Guided Sparse Transformer for Video Deblurring
Exploiting similar and sharper scene patches in spatio-temporal neighbor...
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12/06/2021
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
Many state-of-the-art ML models have outperformed humans in various task...
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11/15/2021
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-...
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10/25/2021
Hybrid physics-based and data-driven modeling with calibrated uncertainty for lithium-ion battery degradation diagnosis and prognosis
Advancing lithium-ion batteries (LIBs) in both design and usage is key t...
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01/01/2021
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Deep neural networks usually require large labeled datasets for training...
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11/15/2020
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
The task of video and text sequence alignment is a prerequisite step tow...
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08/25/2020
An Adversarial Attack Defending System for Securing In-Vehicle Networks
In a modern vehicle, there are over seventy Electronics Control Units (E...
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02/13/2020
A comprehensive review on convolutional neural network in machine fault diagnosis
With the rapid development of manufacturing industry, machine fault diag...
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03/05/2013