Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model by Yizhong Yang, Qiang Zhang, Pengfei Wang, Xionglou Hu, Nengju Wu

“…Moving object detection in video streams is the first step of many computer vision applications. Background modeling and subtraction for moving detection is the most common technique for detecting, while how to detect moving objects correctly is still a challenge. …”
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Study of spatial-time inhomogeneity of serrated plastic flow Al-Mg alloy: using DIC-technique by T. V. Tretyakova, V. E. Wildemann

“…The digital image correlation is a highly effective computer-vision-based technique, which provides estimation of the displacement and strain fields on specimen surface by matching the reference subsets in the undeformed image (before loading) with the target subsets in the deformed images (captured during test). …”
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Application of Visual Guidance Design of Tourist City Combined with Deep Learning Computer Visual Symbols by Jiaying Cai, Kai Liu

“…In recent years, computer vision has received rapid attention and development, and it also represents the most cutting-edge research direction of deep learning. …”
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Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT by Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri

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Image Recognition of Pledges of Capital Stock in Small- and Medium-Sized Enterprises Based on Partial Differential Equations by Dehui Zhou

“…Image recognition is one of the core research directions in the field of computer vision research, which can be divided into general image recognition and fine-grained image recognition. …”
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A dataset of annotated African plum images from Cameroon for AI-based quality assessmentKaggle by Arnaud Nguembang Fadja, Armel Gabin Fameni Tagni, Sain Rigobert Che, Marcellin Atemkeng

“…This resource is valuable for developing and testing computer vision, deep learning-based recognition systems and object detection models in agriculture, enabling automated evaluation of plum quality for commercialization. …”
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Semiótica da inteligência artificial: análise computacional de grandes bases de dados e geração automática de imagens by Maria Giulia Dondero, Gustavo Henrique Rodrigues de Castro, Matheus Nogueira Schwartzmann, Daniervelin Pereira

“…Essa base teórica nos possibilitará discutir, primeiramente, a relação entre banco de dados de imagens e algoritmos na análise de grandes coleções de imagens por meio da computer vision, além dos modos de diálogo do usuário com o modelo de inteligência artificial generativa Midjourney, que nos permitirá tratar a criatividade da máquina. …”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…Convolutional neural networks (CNNs), initially proposed for computer vision tasks, are examples of models applied to sensor data. …”
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FUZZY REGION MERGING WITH HIERARCHICAL CLUSTERING TO FIND OPTIMAL INITIALIZATION OF FUZZY REGION IN IMAGE SEGMENTATION by Wawan GUNAWAN

“…Image segmentation is also a fundamental stage in the development of other image applications such as object recognition, target tracking, computer vision, and biomedical image processing. Interactive image segmentation methods with additional user interaction are still popular in research. …”
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Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks by Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

“…In recent years, deep neural networks have achieved great success in many fields, such as computer vision and natural language processing. Traditional image recommendation algorithms use text-based recommendation methods. …”
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RGBD Scene Flow Estimation with Global Nonrigid and Local Rigid Assumption by Xiuxiu Li, Yanjuan Liu, Haiyan Jin, Lei Cai, Jiangbin Zheng

“…RGBD scene flow has attracted increasing attention in the computer vision with the popularity of depth sensor. To estimate the 3D motion of object accurately, a RGBD scene flow estimation method with global nonrigid and local rigid motion assumption is proposed in this paper. …”
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Fire Video Recognition Based on Local and Global Adaptive Enhancement by Jian Ding, Yun Yi, Tinghua Wang, Tao Tian

“…In the domain of fire warning, earlier approaches leveraging computer vision have achieved significant progress. However, these methods ignore the local and global motion characteristics of flames. …”
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A Unified Shape-From-Shading Approach for 3D Surface Reconstruction Using Fast Eikonal Solvers by Guohui Wang, Xuan Zhang, Jin Cheng

“…Object shape reconstruction from images has been an active topic in computer vision. Shape-from-shading (SFS) is an important approach for inferring 3D surface from a single shading image. …”
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An efficient loop tiling framework for convolutional neural network inference accelerators by Hongmin Huang, Xianghong Hu, Xueming Li, Xiaoming Xiong

“…Abstract Convolutional neural networks (CNNs) have been widely applied in the field of computer vision due to their inherent advantages in image feature extraction. …”
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Swin-transformer for weak feature matching by Yuan Guo, Wenpeng Li, Ping Zhai

“…Abstract Feature matching in computer vision is crucial but challenging in weakly textured scenes due to the lack of pattern repetition. …”
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Online multi‐object tracking based on time and frequency domain features by Mahbubeh Nazarloo, Meisam Yadollahzadeh‐Tabari, Homayun Motameni

“…Abstract Multi‐object tracking (MOT) can be considered as an interesting field in computer vision research. Its application can be found in video motion analysis, smart interfaces, and visual surveillance. …”
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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification by Qinghe Zheng, Mingqiang Yang, Xinyu Tian, Nan Jiang, Deqiang Wang

“…Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. …”
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An intelligent system for lung CT image denoising using a hybrid WT-NLM filter by S.L. Soniya, T. Ajith Bosco Raj

“…Image denoising is an extensively researched problem in computer vision that is commonly used as a benchmark for many imaging tasks. …”
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Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models by Qanita Bani Baker, Nour Alqudah, Tibra Alsmadi, Rasha Awawdeh

“…The complexity of visual sign language recognition poses a significant challenge in the computer vision research area. This study presents an Arabic Sign Language recognition (ArSL) system that utilizes convolutional neural networks (CNNs) and several transfer learning models to automatically and accurately identify Arabic Sign Language characters. …”
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Probabilistic Automated Model Compression via Representation Mutual Information Optimization by Wenjie Nie, Shengchuan Zhang, Xiawu Zheng

“…Deep neural networks, despite their remarkable success in computer vision tasks, often face deployment challenges due to high computational demands and memory usage. …”
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