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arXiv 2024年

作者： Mu, Changshi Feng, Daquan Zheng, Qi Zhuang, Yuan Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan430072 China

Accurate and robust initialization is essential for Visual-Inertial Odometry (VIO), as poor initialization can severely degrade pose accuracy. During initialization, it is crucial to estimate parameters such as accelerometer bias, gyroscope bias, initial velocity, gravity, etc. Most existing VIO initialization methods adopt Structure from Motion (SfM) to solve for gyroscope bias. However, SfM is not stable and efficient enough in fast-motion or degenerate scenes. To overcome these limitations, we extended the rotation-translation-decoupled framework by adding new uncertainty parameters and optimization modules. First, we adopt a gyroscope bias estimator that incorporates probabilistic normal epipolar constraints. Second, we fuse IMU and visual measurements to solve for velocity, gravity, and scale efficiently. Finally, we design an additional refinement module that effectively reduces gravity and scale errors. Extensive EuRoC dataset tests show that our method reduces gyroscope bias and rotation errors by 16% and 4% on average, and gravity error by 29% on average. On the TUM dataset, our method reduces the gravity error and scale error by 14.2% and 5.7% on average respectively. The source code is available at https://***/MUCS714/***. © 2024, CC BY-NC-SA.

关键词： Gyroscopes

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Characterization Of Dim Light Response In DVS Pixel: Discontinuity of Event Triggering Time

Characterization Of Dim Light Response In DVS Pixel: Discont...

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IEEE International Conference on Image processing

作者： Xiao Jiang Fei Zhou College of Electronic and Information Engineering Shenzhen University Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen China Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication China Peng Cheng Laboratory Shenzhen China

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

Dynamic Vision Sensors (DVS) have recently generated great interest because of the advantages of wide dynamic range and low latency compared with conventional frame-based cameras. However, the complicated behaviors in dim light conditions are still not clear, restricting the applications of DVS. In this paper, we analyze the typical DVS circuit, and find that there exists discontinuity of event triggering time. In dim light conditions, the discontinuity becomes prominent. We point out that the discontinuity depends exclusively on the changing speed of intensity of light. Experimental results on real event data validate the analysis and the existence of discontinuity that reveals the non-first-order behaviors of DVS in dim light conditions.

关键词： Delay effects Image processing Vision sensors Cameras High dynamic range Voltage control Low latency communication

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CHARACTERIZATION OF DIM LIGHT RESPONSE IN DVS PIXEL: DISCONTINUITY OF EVENT TRIGGERING TIME

arXiv

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arXiv 2024年

作者： Jiang, Xiao Zhou, Fei College of Electronic and Information Engineering Shenzhen University Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen China Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication China Peng Cheng Laboratory Shenzhen China

Dynamic Vision Sensors (DVS) have recently generated great interest because of the advantages of wide dynamic range and low latency compared with conventional frame-based cameras. However, the complicated behaviors in dim light conditions are still not clear, restricting the applications of DVS. In this paper, we analyze the typical DVS circuit, and find that there exists discontinuity of event triggering time. In dim light conditions, the discontinuity becomes prominent. We point out that the discontinuity depends exclusively on the changing speed of light intensity. Experimental results on real event data validate the analysis and the existence of discontinuity that reveals the non-first-order behaviors of DVS in dim light conditions. © 2024, CC BY.

关键词： Pixels

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Accurate and Computational Efficient Joint Multiple Kronecker Pursuit for Tensor Data Recovery

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Computers, Materials & Continua 2021年第8期68卷 2111-2126页

作者： Weize Sun Peng Zhang Jingxin Xu Huochao Tan Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information EngineeringShenzhen UniversityShenzhen518061China Department of Housing and Public Works QueenslandAustralia Customer Service Centre Guangdong Power Grid CorporationGuangzhouChina

This paper addresses the problem of tensor completion from limited *** speaking,in order to achieve good recovery result,many tensor completion methods employ alternative optimization or minimization with SVD operations,leading to a high computational *** this paper,we aim to propose algorithms with high recovery accuracy and moderate computational *** is shown that the data to be recovered contains structure of Kronecker Tensor decomposition under multiple patterns,and therefore the tensor completion problem becomes a Kronecker rank optimization one,which can be further relaxed into tensor Frobenius-norm minimization with a constraint of a maximum number of rank-1 basis or *** the idea of orthogonal matching pursuit is employed to avoid the burdensome SVD *** on these,two methods,namely iterative rank-1 tensor pursuit and joint rank-1 tensor pursuit are *** economic variants are also included to further reduce the computational and storage complexity,making them effective for large-scale data tensor *** verify the proposed algorithms,both synthesis data and real world data,including SAR data and video data completion,are *** to the single pattern case,when multiple patterns are used,more stable performance can be achieved with higher complexity by the proposed ***,both results from synthesis and real world data shows the advantage of the proposed methods in term of recovery accuracy and/or computational complexity over the state-of-the-art *** conclude,the proposed tensor completion methods are suitable for large scale data completion with high recovery accuracy and moderate computational complexity.

关键词： Tensor completion tensor Kronecker decomposition Kronecker rank-1 decomposition

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Video Super-Resolution with Spatial-Temporal Transformer Encoder

Video Super-Resolution with Spatial-Temporal Transformer Enc...

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2022 IEEE International Conference on Multimedia and Expo, ICME 2022

作者： Tan, Ruiqi Yuan, Yuan Huang, Rui Luo, Jianping College of Electronic and Information Engineering Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing China School of Computer Science Guangdong Polytechnic Normal University Guangdong China The Chinese University of Hong Kong School of Science and Engineering Shenzhen China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

The challenge of Video super-resolution (VSR) is how to make full use of the spatial-temporal coherence among neigh-bouring LR frames to generate high-resolution (HR) prediction. In this study, we propose to use transformer on VSR to capture long-range temporal dependencies. Specifically, we first spatially divide LR images into patches and split each patch into sub-patches. Transformer encoders are applied to both the patches and sub-patches, such that the self-attention modules can extract both global and local correlations. To accelerate the training process and filter out irrelevant features, we only select top-k similar features for the attention scheme. We then feed the extracted long-range correlations into a temporal, spatial and channel attention fusion mod-ule' which enhances the useful information along all three di-mensions' respectively. Extensive experiments on benchmark datasets show that the proposed model outperforms state-of-the-art VSR methods in terms of PSNR/SSIM values and vi-sual qualities. © 2022 IEEE.

关键词： Benchmarking

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Clustering single-cell RNA sequencing data by multi-view latent embedding learning 4

Clustering single-cell RNA sequencing data by multi-view lat...

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4th International Conference on Computer information Science and Artificial Intelligence, CISAI 2021

作者： Lin, Yilong Zou, Guanhua Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen Key Laboratory of Media Security College of Electronics and Information Engineering Shenzhen518060 China

ISBN: (纸本)9781665406925

The advancement of single-cell RNA sequencing (scRNA-seq) technologies have provided a great opportunity for characterizing cell types. Most existing clustering methods are always confused by the inherent noise, high dimensionality and dropout events of scRNA-seq data. In this study, we propose a multi-view latent embed- ding learning method, named Encluster, for clustering scRNA-seq data. Specifically, we first generate multiple imputed results of scRNA-seq data by using existing imputation methods. Then we project these imputed results into a low-dimensional shared cell representation matrix, and learn a cell similarity matrix and a cluster indicator matrix from this representation matrix of cells. Additionally, to make our model more adaptive for different data sets, we apply an adaptive self-weighted learning method to assign different weights to different imputed results. According to the experiment results, Encluster is a better method on cell types identification. © 2021 IEEE.

关键词： RNA

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Multiple weather images restoration using the task transformer and adaptive mixup strategy

arXiv

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arXiv 2024年

作者： Wen, Yang Lai, Anyu Qian, Bo Wang, Hao Shi, Wuzhen Cao, Wenming Guangdong Provincial Key Laboratory of Intelligent Information Processing School of Electronic and Information Engineering Shenzhen University Shenzhen China The Department of Comupter Science and Engineering Shanghai Jiao Tong University Shanghai China

The current state-of-the-art in severe weather removal predominantly focuses on single-task applications, such as rain removal, haze removal, and snow removal. However, real-world weather conditions often consist of a mixture of several weather types, and the degree of weather mixing in autonomous driving scenarios remains unknown. In the presence of complex and diverse weather conditions, a single weather removal model often encounters challenges in producing clear images from severe weather images. Therefore, there is a need for the development of multitask severe weather removal models that can effectively handle mixed weather conditions and improve image quality in autonomous driving scenarios. In this paper, we introduce a novel multi-task severe weather removal model that can effectively handle complex weather conditions in an adaptive manner. Our model incorporates a weather task sequence generator, enabling the self-attention mechanism to selectively focus on features specific to different weather types. To tackle the challenge of repairing large areas of weather degradation, we introduce Fast Fourier Convolution (FFC) to increase the receptive field. Additionally, we propose an adaptive upsampling technique that effectively processes both the weather task information and underlying image features by selectively retaining relevant information. Our proposed model has achieved state-of-the-art performance on the publicly available dataset. Copyright © 2024, The Authors. All rights reserved.

关键词： Restoration

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A Wideband Dielectric Resonator Antenna

A Wideband Dielectric Resonator Antenna

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European Conference on Antennas and Propagation, EuCAP

作者： Zhe Chen Yu-Xiang Sun Wenhui Wu Xue Ren Tao Yuan State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Shenzhen China College of Electronics and Information Engineering Shenzhen University Shenzhen China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China ATR National Key Laboratory of Defense Technology Shenzhen University Shenzhen China

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

This paper presents a wideband dielectric resonator antenna (DRA) with three excited modes: the fundamental TEll1 mode and the higher-order TEll3 and $\text{TE}_{212}$ modes, which are merged to achieve a wide impedance bandwidth. To demonstrate the design, an antenna prototype was developed, fabricated, and measured, showing reasonable agreement between the measured and simulated results. The prototype achieved a wide measured 10-dB impedance bandwidth of 64.6% (5.85-11.48 GHz) with stable broadside radiation patterns throughout the band.

关键词： Antenna measurements Impedance measurement Prototypes Dielectric resonator antennas Dielectric measurement Dielectrics Broadband antennas Impedance Wideband Antenna radiation patterns

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Global-Local Prototype-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification

SSRN

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SSRN 2024年

作者： Tang, Haojin Wu, Yuelin Li, Hongyi Tang, Dong Yang, Xiaofei Xie, Weixin School of Electronic and Communication Engineering Guangzhou University Guangzhou511370 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China

Since cross-domain information can help tackle the small-sample-size challenge, cross-domain hyperspectral image (HSI) classification has become a hot issue in recent years. Few-shot learning (FSL) has been recognized as an effective solution for cross-domain HSI classification. Particularly, the prototype-based FSL method, which aims to train a generalized feature metric space by performing the feature matching between prototypes and query samples, is the most commonly used FSL method for cross-domain HSI classification. However, existing prototype-based FSL methods mainly utilize the global semantic information of HSI pixel neighborhood to establish the prototype-based feature metric space. This ignores the local semantic information and fails to exploit the global-local semantic relationship of HSI pixel neighborhood. To solve this problem, a novel global-local prototype-based FSL (GLP-FSL) is proposed for cross-domain HSI classification in this paper. Firstly, we propose a multi-view spatial-spectral feature extraction module to capture both global-view and local-view spatial-spectral feature across domains. Secondly, we present a global-local spatial-spectral feature matching module to better achieve the prototype-based spatial-spectral feature matching by exploiting the global-local semantic relationship. Moreover, a spatial-spectral domain adaption strategy based on global-local knowledge distillation is designed for boosting the universal applicability of the feature metric space. Finally, the proposed GLP-FSL is evaluated on five public HSI data sets, and the extensive experimental results indicate that the proposed GLP-FSL significantly outperforms other state-of-the-art FSL methods. © 2024, The Authors. All rights reserved.

关键词： Distillation

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Transparent Four-Port MIMO DRAs Decoupled by Conformal Strips

Transparent Four-Port MIMO DRAs Decoupled by Conformal Strip...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： He, Chao Yang, Nan Leung, Kwok Wa Liaoning Technical University Liaoning Key Laboratory of Radio Frequency and Big Data for Intelligent Applications Huludao125105 China Sun Yat-sen University School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Guangzhou China City University of Hong Kong State Key Laboratory of Terahertz and Millimeter Waves Department of Electrical Engineering Kowloon Hong Kong CityU Shenzhen Research Institute Information and Communication Technology Centre Shenzhen China

ISBN: (纸本)9798350355581

A four-port multi-input multi-output (MIMO) dielectric resonator (DR) antenna (DRA) is presented in this paper. Combing four rectangular DRs together can form a single DR element. With shape modification and conformal strips, the four ports can be decoupled. To verify the design idea, a transparent prototype can be designed and fabricated for 2.4-GHz band applications. The measured results show an impedance bandwidth of 5.8% and an isolation level of 24 dB. © 2024 IEEE.

关键词： Microwave antennas

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