Frontiers in Computer Science

Original Research

Accepted on 05 Feb 2025

Enhancing Automatic Electric Vehicle Charging: A Deep Learning Approach with YOLO and Feature Extraction Techniques

in Computer Vision

Phasuwut Chunnapiya
Porawat Visutsak

Frontiers in Computer Science

doi 10.3389/fcomp.2025.1505446

Original Research

Published on 22 Jan 2025

Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection

in Computer Vision

Manh-Tuan Do
Manh-Hung Ha
Duc-Chinh Nguyen
Oscal Tzyh-Chiang Chen

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1480481

348 views

Original Research

Accepted on 21 Jan 2025

MoNetViT: An Efficient Fusion of CNN and Transformer Technologies for Visual Navigation Assistance with Multi Query Attention

in Computer Vision

Liliek Triyono
Rahmat Gernowo
Prayitno Prayitno

Frontiers in Computer Science

doi 10.3389/fcomp.2025.1510252

Brief Research Report

Published on 15 Jan 2025

Recovering manifold representations via unsupervised meta-learning

in Computer Vision

Yunye Gong
Jiachen Yao
Ruyi Lian
Xiao Lin
Chao Chen
Ajay Divakaran
Yi Yao

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1255517

196 views

Methods

Published on 10 Jan 2025

Monocular 3D object detection for occluded targets based on spatial relationships and decoupled depth predictions

in Computer Vision

Yanfei Gao
Xiongwei Miao
Guoye Zhang

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1382080

245 views

Review

Published on 10 Jan 2025

A comprehensive review on early detection of Alzheimer's disease using various deep learning techniques

in Computer Vision

I. Nagarajan
G. G. Lakshmi Priya

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1404494

568 views

Original Research

Published on 12 Dec 2024

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach

in Computer Vision

Arefin Ittesafun Abian
Mohaimenul Azam Khan Raiaan
Asif Karim
Sami Azam
Nur Mohammad Fahad
Niusha Shafiabady
Kheng Cher Yeo
Friso De Boer

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1438126

1,896 views

Review

Published on 21 Nov 2024

On the adversarial robustness of aerial detection

in Computer Vision

Yuwei Chen
Shiyong Chu

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1349206

450 views

Original Research

Accepted on 13 Nov 2024

IF-Net: Efficient Object Detection with Invariant Scaling and Feature Alignment

in Computer Vision

Zhengqi Ding
Kelei Sun
Ting Li
Gang Sun

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1369887

118 views

Review

Published on 05 Nov 2024

Lung tumor segmentation: a review of the state of the art

in Computer Vision

Anura Hiraman
Serestina Viriri
Mandlenkosi Gwetu

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1423693

1,325 views

Original Research

Published on 30 Oct 2024

Concurrent compression and meaningful encryption of images using chaotic compressive sensing

in Computer Vision

K. Ashwini
S. Sutha
Sountharrajan S.
Durga Prasad Bavirisetti

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1274704

417 views

Review

Published on 25 Sep 2024

Beyond neurons: computer vision methods for analysis of morphologically complex astrocytes

in Computer Vision

Tabish A. Syed
Mohammed Youssef
Alexandra L. Schober
Yoshiyuki Kubota
Keith K. Murai
Christopher K. Salmon

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1156204

2,134 views

Original Research

Published on 19 Sep 2024

Alignment of a 360° image with posed color images for locally accurate texturing of 3D mesh

in Computer Vision

Bishwash Khanal
Madhav Om
Sanjay Rijal
Vaghawan Prasad Ojha

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1388174

595 views

Original Research

Published on 26 Aug 2024

Implications of data topology for deep generative models

in Computer Vision

Yinzhu Jin
Rory McDaniel
N. Joseph Tatro
Michael J. Catanzaro
Abraham D. Smith
Paul Bendich
Matthew B. Dwyer
P. Thomas Fletcher

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1260604

844 views

Original Research

Published on 14 Aug 2024

Spatial attention guided cGAN for improved salient object detection

in Computer Vision

Gayathri Dhara
Ravi Kant Kumar

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1420965

952 views
1 citation

Original Research

Published on 31 Jul 2024

Applying learning-from-observation to household service robots: three task common-sense formulations

in Computer Vision

Katsushi Ikeuchi
Jun Takamatsu
Kazuhiro Sasabuchi
Naoki Wake
Atsushi Kanehira

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1235239

1,134 views
1 citation

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Articles

Enhancing Automatic Electric Vehicle Charging: A Deep Learning Approach with YOLO and Feature Extraction Techniques

Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection

MoNetViT: An Efficient Fusion of CNN and Transformer Technologies for Visual Navigation Assistance with Multi Query Attention

Recovering manifold representations via unsupervised meta-learning

Monocular 3D object detection for occluded targets based on spatial relationships and decoupled depth predictions

A comprehensive review on early detection of Alzheimer's disease using various deep learning techniques

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach

On the adversarial robustness of aerial detection

IF-Net: Efficient Object Detection with Invariant Scaling and Feature Alignment

Lung tumor segmentation: a review of the state of the art

Concurrent compression and meaningful encryption of images using chaotic compressive sensing

Beyond neurons: computer vision methods for analysis of morphologically complex astrocytes

Alignment of a 360° image with posed color images for locally accurate texturing of 3D mesh

Implications of data topology for deep generative models

Spatial attention guided cGAN for improved salient object detection

Applying learning-from-observation to household service robots: three task common-sense formulations