Monocular Depth Estimation: A Review on Hybrid Architectures, Transformers and Addressing Adverse Weather Conditions by Kumara Lakindu, Senanayake Nipuna, Poravi Guhanathan

“…Monocular depth estimation is one of the essential tasks in computer vision as it can provide depth information from 2D images and is extremely beneficial for applications such as autonomous driving, robot navigation, etc. …”
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Machine learning in medicine: what clinicians should know by Jordan Zheng Ting Sim, Qi Wei Fong, Weimin Huang, Cher Heng Tan

“…Herein, we introduce basic concepts and terms used in AI and ML, and aim to demystify commonly used AI/ML algorithms such as learning methods including neural networks/deep learning, decision tree and application domain in computer vision and natural language processing through specific examples. …”
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A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning by Nhat-Duc Hoang, Thanh-Canh Huynh, Xuan-Linh Tran, Van-Duc Tran

“…Because crack and sealed crack are both line-based defects and may resemble each other in shape, this study puts forward an innovative method based on computer vision for detecting sealed crack and crack. …”
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AN IMPROVED FUZZY K-MEANS CLUSTERING ALGORITHM BASED ON WEIGHT ENTROPY MEASUREMENT AND CALINSKI-HARABASZ INDEX by Nguyễn Như Đồng, Phan Thành Huấn

“…Clustering plays an important role in data mining and is applied widely in fields of pattern recognition, computer vision, and fuzzy control. In this paper, we proposed an improved clustering algorithm combined of both fuzzy k-means using weight Entropy and Calinski-Harabasz index. …”
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s-Goodness for Low-Rank Matrix Recovery by Lingchen Kong, Levent Tunçel, Naihua Xiu

“…Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many fields such as signal and image processing, statistics, computer vision, and system identification and control. …”
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Human Pose Estimation: Single-Person and Multi-Person Approaches by Tang Wan

“…Human pose estimation (HPE), as one of the core tasks in computer vision, plays a crucial role in enabling computers to comprehend human behaviour interactions. …”
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A TensorFlow implementation of Local Binary Patterns Transform by Devrim Akgün

“…Direct implementations of such layers in Python may result in long running times, and training a computer vision model may be delayed significantly. For this purpose, TensorFlow framework enables developing accelerated custom operations based on the existing operations which already have support for accelerated hardware such as multicore CPU and GPU. …”
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Vision-Based Tracking of Uncooperative Targets by Suresh K. Kannan, Eric N. Johnson, Yoko Watanabe, Ramachandra Sattigeri

“…An additional piece of information, the subtended angle, also available from computer vision algorithm is used to improve range estimation accuracy. …”
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Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis by Ali Madooei, Mark S. Drew

“…Today, clinicians use computer vision in an increasing number of applications to aid early detection of melanoma through dermatological image analysis (dermoscopy images, in particular). …”
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Overview of Sign Language Translation Based on Natural Language Processing by Wang Hanmo

“…This paper explores the progress, challenges, and future directions in Sign Language Translation (SLT) within the broader field of Sign Language Processing (SLP), which combines Computer Vision (CV) and Natural Language Processing (NLP) to translate sign language videos into spoken language texts. …”
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Use of Augmented Reality for Training Assistance in Laparoscopic Surgery: Scoping Literature Review by Francisco Javier Celdrán, Javier Jiménez-Ruescas, Carlos Lobato, Lucía Salazar, Juan Alberto Sánchez-Margallo, Francisco M Sánchez-Margallo, Pascual González

“…It underscores the potential of emerging technologies such as haptic feedback, computer vision, and eye tracking to further enhance laparoscopic skill acquisition. …”
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Identifying the Origin of Cyber Attacks Using Machine Learning and Network Traffic Analysis by Du Tianqing

“…In this paper, PCAP refers to Packet Capture, Network Intrusion Detection Systems refers to NIDS, Artificial Intelligence refers to AI, machine learning refers to ML, Computer Vision refers to CV, and Natural Language Processing refers to NLP. …”
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Learning-Based Dark and Blurred Underwater Image Restoration by Yifeng Xu, Huigang Wang, Garth Douglas Cooper, Shaowei Rong, Weitao Sun

“…Underwater image processing is a difficult subtopic in the field of computer vision due to the complex underwater environment. …”
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Epipolar Plane Image Rectification and Flat Surface Detection in Light Field by Lipeng Si, Hao Zhu, Qing Wang

“…Flat surface detection is one of the most common geometry inferences in computer vision. In this paper we propose detecting printed photos from original scenes, which fully exploit angular information of light field and characteristics of the flat surface. …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…Solving total variation problems is fundamentally important for many computer vision tasks, such as image smoothing, optical flow estimation and 3D surface reconstruction. …”
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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

“…Traditionally diagnosed through clinical assessments, Down syndrome, a genetic disorder characterized by distinctive facial features, has benefited from recent advancements in computer vision and artificial intelligence (AI). This paper explores various facial analysis techniques, including deep convolutional neural networks (DCNNs) and hybrid models combining traditional image processing with deep learning. …”
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Enhanced Asymmetric Bilinear Model for Face Recognition by Wenjuan Gong, Weishan Zhang, Jordi Gonzàlez, Yan Ren, Zhen Li

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Evaluation of Natural Image Generation and Reconstruction Capabilities Based on the β-VAE Model by Zhang Honghao

“…Natural image generation models are crucial in computer vision. However, the Variational Autoencoder (VAE) has limitations in image quality and diversity, while β-VAE achieves a balance between the decoupling of latent space and generative quality by adjusting the coefficient β. …”
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Advancements in Image Classification: From Machine Learning to Deep Learning by Cheng Haoran

“…Image classification, as an essential task within the realm of computer vision, has evolved from traditional machine learning methods to deep learning techniques. …”
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