STA-HAR: A Spatiotemporal Attention-Based Framework for Human Activity Recognition by Md. Khaliluzzaman, Md. Furquan, Mohammod Sazid Zaman Khan, Md. Jiabul Hoque

“…Human activity recognition (HAR) has gained significant attention in computer vision and human-computer interaction. This paper investigates the difficulties encountered in human activity recognition (HAR), precisely differentiating between various activities by extracting spatial and temporal features from sequential data. …”
Get full text

Detection of Bolt Looseness Based on Average Autocorrelation Function by Jigang Wu, Jun Shao, Gen Zhou, Deqiang Yang, Yuan Cheng

“…Then, an experimental system for bolt looseness detection based on computer vision is designed, and a verification experiment is carried out with the bolted connection plate as the experimental object. …”
Get full text

Multilabel Image Annotation Based on Double-Layer PLSA Model by Jing Zhang, Da Li, Weiwei Hu, Zhihua Chen, Yubo Yuan

“…Due to the semantic gap between visual features and semantic concepts, automatic image annotation has become a difficult issue in computer vision recently. We propose a new image multilabel annotation method based on double-layer probabilistic latent semantic analysis (PLSA) in this paper. …”
Get full text

Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…The single image super-resolution (SISR) is a classical problem in the field of computer vision, aiming to enhance high-resolution details from low-resolution images. …”
Get full text

Time-Series Image-Based Automated Monitoring Framework for Visible Facilities: Focusing on Installation and Retention Period by Seonjun Yoon, Hyunsoo Kim

“…To address this, this study proposes an integrated monitoring framework that combines computer vision-based object detection and document recognition techniques. …”
Get full text

Computer-Aid System for Automated Jaundice Detection by Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, Javaan Chahl

“…In this study, jaundice or hyperbilirubinemia is diagnosed using a computer vision system based on a random forest algorithm. …”
Get full text

Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

“…Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, augmented reality, among others, and its popularity increased with the development of deep learning approaches. …”
Get full text

Exploring Ultrasound-Induced Changes on Bioactive Content and Color Properties of Sour Cherry Juice Involving Insights From Image Processing Analysis by Nursena Aktı, Semanur Yildiz

“…This study highlights the evaluation of the process-induced changes for better preservation of bioactive content and quality of fruit juices as well as establishes a baseline for evaluating the quality of nonthermally processed fruit juices through computer vision-based techniques.…”
Get full text

Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Wireless Sensor Networks (WSNs) have a wide range of applications scenarios in computer vision, from pedestrian detection to robotic visual navigation. …”
Get full text

Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video by Qingjie Chen, Minkai Dong

“…Moving target detection technology is an important branch of computer vision technology. Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. …”
Get full text

Efficient diagnostic model for iron deficiency anaemia detection: a comparison of CNN and object detection algorithms in peripheral blood smear images by Navya K. T, Seemitr Verma, Keerthana Prasad, Brij Mohan Kumar Singh

“…This study uses machine learning and computer vision techniques for the automatic identification of hypochromic microcytes from Peripheral Blood Smear (PBS) images to improve IDA diagnosis. …”
Get full text

Vision Transformer untuk Klasifikasi Kematangan Pisang by Arya Pangestu, Bedy Purnama, Risnandar Risnandar

“…Oleh karena itu, teknologi computer vision dapat menjadi solusi yang efektif dalam mengklasifikasikan kematangan buah pisang secara otomatis. …”
Get full text

Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

“…Abstract Premise Automated disease, weed, and crop classification with computer vision will be invaluable in the future of agriculture. …”
Get full text

Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…VQA systems represent a crucial step towards the development of advanced AI systems that bridge the gap between computer vision and human language understanding, fostering a deeper and more integrated interaction with the real world. …”
Get full text

Cloud-Based License Plate Recognition: A Comparative Approach Using You Only Look Once Versions 5, 7, 8, and 9 Object Detection by Christine Bukola Asaju, Pius Adewale Owolawi, Chuling Tu, Etienne Van Wyk

“…Determining the best approach remains paramount in the field of computer vision. This study presents a comparative analysis of various versions of the YOLO (You Only Look Once) object detection models, namely, YOLO 5, 7, 8, and 9, applied to LPR tasks in a cloud computing environment. …”
Get full text

Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network by Pingping Wu, Lunke Fei, Shuyi Li, Shuping Zhao, Xiaozhao Fang, Shaohua Teng

“…Abstract Hand pose recognition has been one of the most fundamental tasks in computer vision and pattern recognition, and substantial effort has been devoted to this field. …”
Get full text

LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

“…Hence, this paper solely creates the bigger LeaData and presents its different versions to the digital image processing and computer vision research community. This digitized source of permissible leather species helps enable digitization in leather technology for species identification. …”
Get full text

Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…Given its wide-ranging applications, HPE has become one of the fastest-growing areas in computer vision and artificial intelligence. This review highlights the latest advances in 3D deep-learning-based HPE models, addressing the major challenges such as accuracy, real-time performance, and data constraints. …”
Get full text

The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

“…Efficient and focused on computer vision, each has specific advantages. A Kaggle database with 5192 images was used, divided into training (70%), validation (15%), and test (15%) sets. …”
Get full text

Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…Human skeleton-based action recognition is an important task in the field of computer vision. In recent years, masked autoencoder (MAE) has been used in various fields due to its powerful self-supervised learning ability and has achieved good results in masked data reconstruction tasks. …”
Get full text