Automating Attendance Management in Human Resources: A Design Science Approach Using Computer Vision and Facial Recognition

Συγγραφείς: Nguyen-Tat, Bao-Thien, Bui, Minh-Quoc, Ngo, Vuong M.

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Hardware Architecture, Computer Science - Human-Computer Interaction, Electrical Engineering and Systems Science - Systems and Control

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2405.12633

Surgeons vs. Computer Vision: A comparative analysis on surgical phase recognition capabilities

Συγγραφείς: Mezzina, Marco, De Backer, Pieter, Vercauteren, Tom, Blaschko, Matthew, Mottrie, Alexandre, Tuytelaars, Tinne

Θεματικοί όροι: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2504.18954

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer

Συγγραφείς: Shao, Fenghua, Zhang, Tong, Gao, Shang, Sun, Qi, Yang, Liuqingqing

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2412.18321

Micro-Fracture Detection in Photovoltaic Cells With Hardware-Constrained Devices and Computer Vision

Συγγραφείς: Booy Vitas Faassen, Jorge Serrano, Paul D. Rosero-Montalvo

Πηγή: UVaDOC. Repositorio Documental de la Universidad de Valladolid
Universidad de Valladolid

Θεματικοί όροι: FOS: Computer and information sciences, Condensed Matter - Materials Science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, 7. Clean energy

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2403.05694
https://uvadoc.uva.es/handle/10324/66613
https://doi.org/10.48550/arxiv.2403.05694

Split Learning in Computer Vision for Semantic Segmentation Delay Minimization

Συγγραφείς: Nikos G. Evgenidis, Nikos A. Mitsiou, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, George K. Karagiannidis

Πηγή: IEEE Journal on Selected Areas in Communications. 43:3955-3968

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Computer Science - Information Theory, Computer Vision and Pattern Recognition (cs.CV), Information Theory (cs.IT), Computer Science - Computer Vision and Pattern Recognition, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2412.14272

Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities

Συγγραφείς: Marco Mezzina, Pieter De Backer, Tom Vercauteren, Matthew B. Blaschko, Alexandre Mottrie, Tinne Tuytelaars

Πηγή: Int J Comput Assist Radiol Surg
Mezzina, M, De Backer, P, Vercauteren, T, Blaschko, M, Mottrie, A & Tuytelaars, T 2025, 'Surgeons versus computer vision : a comparative analysis on surgical phase recognition capabilities', International Journal of Computer Assisted Radiology and Surgery, vol. 20, no. 6, 103126, pp. 1283-1291. https://doi.org/10.1007/s11548-025-03383-4

Θεματικοί όροι: Grant number HBC.2020.2252 (Pieter De Backer), FOS: Computer and information sciences, Technology, Surgical data science, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Video Recording, Nephrectomy, RAPN, Workflow, Engineering, Robotic Surgical Procedures, Artificial Intelligence, Surgical phase recognition, FOS: Electrical engineering, electronic engineering, information engineering, Humans, Grant number HBC.2023.0156 (Marco Mezzina), Engineering, Biomedical, Surgeons, Science & Technology, Radiology, Nuclear Medicine & Medical Imaging, Image and Video Processing (eess.IV), 3202 Clinical sciences, Baekeland grant of Flanders Innovation & Entrepreneurship (VLAIO), Deep learning, 1103 Clinical Sciences, Electrical Engineering and Systems Science - Image and Video Processing, Nuclear Medicine & Medical Imaging, 4603 Computer vision and multimedia computation, Artificial Intelligence (cs.AI), Surgery, Original Article, Clinical Competence, Life Sciences & Biomedicine

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40448800
http://arxiv.org/abs/2504.18954
https://lirias.kuleuven.be/handle/20.500.12942/763547
https://doi.org/10.1007/s11548-025-03383-4
https://kclpure.kcl.ac.uk/ws/files/337818464/s11548-025-03383-4.pdf
https://doi.org/10.1007/s11548-025-03383-4
https://kclpure.kcl.ac.uk/portal/en/publications/57903c28-e2e6-4b20-a2dc-7ddd936e5f56
https://www.scopus.com/pages/publications/105006918820

HyperCam: Low-Power Onboard Computer Vision for IoT Cameras

Συγγραφείς: Lee, Chae Young, Fite, Maxwell, Rao, Tejus, Achour, Sara, Kapetanovic, Zerina

Πηγή: Proceedings of the 31st Annual International Conference on Mobile Computing and Networking. :529-542

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.10547

Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation

Συγγραφείς: Georgios Voulgaris

Πηγή: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :2206-2215

Θεματικοί όροι: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.23597
https://openaccess.thecvf.com/content/CVPR2025W/EarthVision/html/Voulgaris_Bridging_Classical_and_Modern_Computer_Vision_PerceptiveNet_for_Tree_Crown_CVPRW_2025_paper.html

Do computer vision foundation models learn the low-level characteristics of the human visual system?

Συγγραφείς: Yancheng Cai, Fei Yin, Dounia Hammou, Rafal Mantiuk

Πηγή: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :20039-20048

Θεματικοί όροι: FOS: Computer and information sciences, 46 Information and Computing Sciences, Clinical Research, Computer Vision and Pattern Recognition (cs.CV), FOS: Clinical medicine, 4611 Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Machine Learning and Artificial Intelligence, Neurosciences, Eye Disease and Disorders of Vision, 4.1 Discovery and preclinical testing of markers and technologies

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2502.20256

Olympus: A Universal Task Router for Computer Vision Tasks

Συγγραφείς: Lin, Y, Li, Y, Chen, D, Xu, W, Clark, R, Torr, P

Πηγή: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :14235-14246

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computation and Language (cs.CL)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2412.09612
https://ora.ox.ac.uk/objects/uuid:8ec229bc-b9ac-4439-8a9d-e379393939ab
https://doi.org/10.1109/cvpr52734.2025.01328

Computer-Aided Colorization State-of-the-Science: A Survey

Συγγραφείς: Yu Cao 0019, Xin Duan, Xiangqiao Meng, P. Y. Mok 0001, Ping Li 0016, Tong-Yee Lee

Πηγή: IEEE Transactions on Visualization and Computer Graphics. 31:9324-9342

Θεματικοί όροι: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40036438
http://arxiv.org/abs/2410.02288

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Συγγραφείς: Kim, Yunsoo, Wu, Jinge, Abdulle, Yusuf, Gao, Yue, Wu, Honghan

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Computation and Language

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2404.02370

The effects of using created synthetic images in computer vision training

Συγγραφείς: Smutny, John W.

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2506.03449

Advancing from Automated to Autonomous Beamline by Leveraging Computer Vision

Συγγραφείς: Li, Baolu, Yu, Hongkai, Sun, Huiming, Ma, Jin, Lin, Yuewei, Ma, Lu, Du, Yonghua

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2506.00836

Computer Vision in the Food Industry: Accurate, Real-time, and Automatic Food Recognition with Pretrained MobileNetV2

Συγγραφείς: Rokhva, Shayan, Teimourpour, Babak, Soltani, Amir Hossein

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2405.11621

AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates

Συγγραφείς: Vilasan, Adhish Anitha, Jäger, Stephan, Klarmann, Noah

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2503.03395

A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawings

Συγγραφείς: Yang, Lvyang, Zhang, Jiankang, Li, Huaiqiang, Ren, Longfei, Yang, Chen, Wang, Jingyu, Shi, Dongyuan

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2312.13620

Personalization of Wearable Sensor-Based Joint Kinematics Estimation Using Computer Vision for Hip Exoskeleton Applications

Συγγραφείς: Changseob Song, Bogdan Ivanyuk-Skulskiy, Adrian Krieger, Kaitao Luo, Inseung Kang

Πηγή: 2025 International Conference On Rehabilitation Robotics (ICORR). :534-539

Θεματικοί όροι: FOS: Computer and information sciences, Knee Joint, Computer Vision and Pattern Recognition (cs.CV), Convolutional Neural Networks, Computer Science - Computer Vision and Pattern Recognition, Video Recording, Exoskeleton Device, Biomechanical Phenomena, Computer Science - Robotics, Wearable Electronic Devices, Deep Learning, Motion Capture, Humans, Hip Joint, Smartphone, Range of Motion, Articular, Gait Analysis, Gait, Robotics (cs.RO)

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40644220
http://arxiv.org/abs/2411.15366

Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation

Συγγραφείς: Voulgaris, Georgios

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.23597

Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review

Συγγραφείς: Gaya-Morey, F. Xavier, Manresa-Yee, Cristina, Buades-Rubio, Jose M.

Πηγή: Gaya-Morey, F.X., Manresa-Yee, C. and Buades-Rubio, J.M. Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review. Appl Intell 54, 8982-9007 (2024)

Θεματικοί όροι: Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2401.11790