EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…These capabilities allow ECs to overcome challenges such as glare, uneven lighting, and low-light conditions that are common in aerial imaging and remote sensing, while also extending UAV flight endurance. To evaluate the effectiveness of ECs in WAMI, we simulate event data from RGB WAMI imagery and integrate them into SfM pipelines for camera pose optimization and 3D point cloud generation. …”
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Evaluating the automated measurement of abnormal rising and lying down behaviours in dairy cows using 3D pose estimation by Adrien Kroese, Niclas Högberg, Elena Diaz Vicuna, David Berthet, Nils Fall, Moudud Alam, Lena-Mari Tamminen

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Realistic Speech-Driven Talking Video Generation with Personalized Pose by Xu Zhang, Liguo Weng

“…We take a random sampling of audio clips, encode audio contents and temporal correlations using a more effective network structure, and optimize and iterate network outputs using differential loss and attitude perception loss, so as to obtain a smoother pose key-point sequence and better performance. …”
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Synergistic application of molecular docking and machine learning for improved binding pose by Li Yaqi, Lin Hongrui, Yang He, Yuan Yannan, Zou Rongfeng, Zhou Gengmo, Zheng Linfeng, Zheng Hang

“…This strategy harnesses the predictive power of machine learning and the physical constraints advantage of molecular docking. Evaluation experiments on multiple datasets demonstrate that, compared to using molecular docking or machine learning methods alone, our proposed strategy can significantly improve the success rate and accuracy of protein-ligand complex structure predictions.…”
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SAGCN: Self-Attention Graph Convolutional Network for Human Pose Embedding by Zhongxiong Xu, Jiajun Hong, Yicong Yu, Chengzhu Lin, Linfei Yu, Meixian Xu

“…While traditional convolutional neural networks (CNNs) have advanced pose feature extraction, they struggle to model structural relationships and long-range dependencies between keypoints, and are less robust to occlusions. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

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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

“…Human pose estimation (HPE) is designed to detect and localize various parts of the human body and represent them as a kinematic structure based on input data like images and videos. …”
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Reviewing 6D Pose Estimation: Model Strengths, Limitations, and Application Fields by Kostas Ordoumpozanis, George A Papakostas

“…This study aims to create a model selection guide by addressing key questions we need to answer when we want to select a 6D pose estimation model: inputs, modalities, real-time capabilities, hardware requirements, evaluation datasets, performance metrics, strengths, limitations, and special attributes such as symmetry or occlusion handling. …”
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A Hair Drawing Evaluation Algorithm for Exactness Assessment Method in Portrait Drawing Learning Assistant System by Yue Zhang, Nobuo Funabiki, Erita Cicilia Febrianti, Amang Sudarsono, Chenchien Hsu

“…However, it is challenging for novices to start learning it, as they usually lack a solid grasp of proportions and structural foundations of the five senses. To address this problem, we have studied <i>Portrait Drawing Learning Assistant System (PDLAS)</i> for guiding novices by providing <i>auxiliary lines</i> of facial features, generated by utilizing <i>OpenPose</i> and <i>OpenCV</i> libraries. …”
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EPLC-Pose: A Lightweight Student Posture Recognition Network Under Panoramic Classroom by Yanhong Ji, Yibo Jin, Zuxuan Wang, Suyan Tan

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Psychometric evaluation of a structured assessment tool for nurse anesthetists’ non-technical skills by Martin Jarl, Cecilia Escher, Piotr Harbut, Helen Conte, Ulrica Nilsson

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AMT-Net: Adversarial Motion Transfer Network With Disentangled Shape and Pose for Realistic Image Animation by Nega Asebe Teka, Kumie Gedamu Alemu, Maregu Assefa, Feidu Akmel, Zhenting Zhou, Weijie Wu, Jianwen Chen

“…Thus, we propose an Adversarial Motion Transfer Network with a disentangled Shape and Pose representation for realistic image Animation (AMT-Net), utilizing an encoder-decoder adversarial structure. …”
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Lightweight pose estimation spatial-temporal enhanced graph convolutional model for miner behavior recognition by WANG Jianfang, DUAN Siyuan, PAN Hongguang, JING Ningbo

“…The detected human regions were cropped and inputted into Lite-HRNet to generate skeleton sequences based on human pose keypoints. MEST-GCN improved upon the spatial-temporal graph convolutional network (ST-GCN) by removing redundant layers to simplify the model structure and reduce the number of parameters. …”
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Evaluating Nighttime Governance Structures: Implications for Urban Policy in Night Mayor and Consultative Body Models by Mohamed H.Mahmoud, Piotr Zmyślony

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Evaluation of the kinematic structure of indicators key elements of sports equipment exercise by postural orientation movements by Y.V. Litvinenko, Tomasz Niznikowski, V.N. Boloban

“…Purpose : Examine the kinematic structure of indicators key elements of sports equipment exercise (difficult to coordinate). …”
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Wi-Fi-Enabled Vision via Spatially-Variant Pose Estimation Based on Convolutional Transformer Network by Hyeon-Ju Lee, Seok-Jun Buu

“…When evaluated on the benchmark WIDAR 3.0 datasets, the proposed model outperforms the structural and sequential learning baseline CNN-GRU by 1.72% in accuracy. …”
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CRIMINAL INTELLIGENCE AS A PROMISING TOOL FOR COMBATING THREATS TO UKRAINE’S NATIONAL SECURITY POSED BY ORGANIZED CRIME by Dmytro Viedienieiev, Oleksandr Semeniuk

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Geological Composition and Structure of the Filling Zone and Its Water-Resisting Property Evaluation on the Top of Ordovician Limestone by Qiqing Wang, Wenping Li, Qiangqiang Liu

“…With the gradual increase in mining depth of coal fields in North China, the threat posed by karstic Ordovician limestone water to the safe stoping of mines is becoming increasingly prominent. …”
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Pod-pose : an efficient top-down keypoint detection model for fine-grained pod phenotyping in mature soybean by Fei Liu, Hang Liu, Qiong Wu, Zhongzhi Han, Shanchen Pang, Shudong Wang, Longgang Zhao

“…Specifically, Pod-pose integrates the architectural strengths of various advanced YOLO (You Only Look Once) models through bottleneck structure optimization and positional feature enhancement to achieve superior detection accuracy. …”
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Towards Intelligent Assessment in Personalized Physiotherapy with Computer Vision by Victor García, Olga C. Santos

“…The visual information is then analyzed to propose a semantic framework that facilitates a structured interpretation of clinical parameters. Preliminary results indicate that YOLO Pose provides reliable pose estimation, offering a solid foundation for future enhancements, such as the integration of natural language processing (NLP) to improve patient interaction through empathetic, AI-driven support.…”
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