Jing Lin | DeepAI

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∙ 05/17/2023

Binarized Spectral Compressive Imaging

Existing deep learning models for hyperspectral image (HSI) reconstructi...

0 Yuanhao Cai, et al. ∙

∙ 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...

0 Yuanhao Cai, et al. ∙

∙ 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...

0 Jing Lin, et al. ∙

∙ 05/20/2022

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

In coded aperture snapshot spectral compressive imaging (CASSI) systems,...

0 Yuanhao Cai, et al. ∙

∙ 05/14/2022

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation

The common item-based collaborative filtering framework becomes a typica...

0 Zijie Zeng, et al. ∙

∙ 04/17/2022

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Existing leading methods for spectral reconstruction (SR) focus on desig...

4 Yuanhao Cai, et al. ∙

∙ 03/09/2022

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Many algorithms have been developed to solve the inverse problem of code...

0 Jing Lin, et al. ∙

∙ 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...

8 Xiaowan Hu, et al. ∙

∙ 01/06/2022

Flow-Guided Sparse Transformer for Video Deblurring

Exploiting similar and sharper scene patches in spatio-temporal neighbor...

0 Jing Lin, et al. ∙

∙ 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...

0 Jing Lin, et al. ∙

∙ 11/15/2021

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-...

0 Yuanhao Cai, et al. ∙

∙ 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...

12 Jing Lin, et al. ∙

∙ 01/01/2021

Active Learning Under Malicious Mislabeling and Poisoning Attacks

Deep neural networks usually require large labeled datasets for training...

0 Jing Lin, et al. ∙

∙ 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...

0 Jianan Wang, et al. ∙

∙ 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...

0 Yi Li, et al. ∙

∙ 02/13/2020

A comprehensive review on convolutional neural network in machine fault diagnosis

With the rapid development of manufacturing industry, machine fault diag...

27 Jinyang Jiao, et al. ∙

∙ 03/05/2013

Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning

Additive asynchronous and cyclostationary impulsive noise limits communi...

0 Jing Lin, et al. ∙