Search Results - Computer Science - Computer Vision and Pattern Recognition

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

Authors: Marco Mezzina Pieter De Backer Tom Vercauteren et al.

Source: 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

Subject Terms: 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), Video Recording, Computer Science - Computer Vision and Pattern Recognition, 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

File Description: application/pdf

Access URL: 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

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

Authors: Yu Cao Xin Duan Xiangqiao Meng et al.

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

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/40036438
http://arxiv.org/abs/2410.02288

Olympus: A Universal Task Router for Computer Vision Tasks

Authors: Lin, Y Li, Y Chen, D et al.

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

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2412.09612
https://ora.ox.ac.uk/objects/uuid:8ec229bc-b9ac-4439-8a9d-e379393939ab

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

Authors: Voulgaris, Georgios

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

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

Access URL: http://arxiv.org/abs/2505.23597

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

Authors: Cai, Yancheng Yin, Fei Hammou, Dounia et al.

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

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

Access URL: http://arxiv.org/abs/2502.20256

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

Authors: Song, Changseob Ivanyuk-Skulskyi, Bogdan Krieger, Adrian et al.

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

Subject Terms: FOS: Computer and information sciences, Computer Science - Robotics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Robotics (cs.RO)

Access URL: http://arxiv.org/abs/2411.15366

Acquiring submillimeter-accurate multi-task vision datasets for computer-assisted orthopedic surgery

Authors: Emma Most Jonas Hein Frédéric Giraud et al.

Source: Int J Comput Assist Radiol Surg
International Journal of Computer Assisted Radiology and Surgery, 20 (6)

Subject Terms: FOS: Computer and information sciences, Feature matching, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Surgery digitization, Original Article, Surgical navigation, 3D reconstruction, Open orthopedic surgery dataset

File Description: application/application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40366618
http://arxiv.org/abs/2501.15371
http://hdl.handle.net/20.500.11850/736521

State of Play and Future Directions in Industrial Computer Vision AI Standards

Authors: Stefanidou, Artemis Radoglou-Grammatikis, Panagiotis Argyriou, Vasileios et al.

Source: 2025 IEEE Conference on Artificial Intelligence (CAI). :1528-1533

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2503.02675

Computer vision for primate behavior analysis in the wild

Authors: Richard Vogg Timo Lüddecke Jonathan Henrich et al.

Contributors: Richard Vogg Timo Lüddecke Jonathan Henrich et al.

Source: Nature Methods. 22:1154-1166

Subject Terms: 0301 basic medicine, FOS: Computer and information sciences, 0303 health sciences, 03 medical and health sciences, Computer Vision and Pattern Recognition (cs.CV), FOS: Biological sciences, Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods, Quantitative Methods (q-bio.QM)

Access URL: https://pubmed.ncbi.nlm.nih.gov/40211003
http://arxiv.org/abs/2401.16424
https://resolver.sub.uni-goettingen.de/purl?gro-2/141834

Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations

Authors: Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat et al.

Source: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. :1-9

Subject Terms: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Human-Computer Interaction (cs.HC)

Access URL: http://arxiv.org/abs/2504.10745

Computer-Aided Layout Generation for Building Design: A Review

Authors: Liu, Jiachen Xue, Yuan Ni, Haomiao et al.

Source: Computational Visual Media. 11:677-707

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

Access URL: http://arxiv.org/abs/2504.09694

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks

Authors: Yang, Zekang Zeng, Wang Jin, Sheng et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 39:22056-22064

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2402.15351

Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review

Authors: F. Xavier Gaya-Morey Cristina Manresa-Yee José M. Buades-Rubio

Source: Applied Intelligence. 54:8982-9007

Subject Terms: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences, 3. Good health

Access URL: http://arxiv.org/abs/2401.11790

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models

Authors: Ranasinghe, Yasiru VS, Vibashan Uplinger, James et al.

Source: 2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS). :1-6

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

Access URL: http://arxiv.org/abs/2501.07396

Emotion Separation and Recognition From a Facial Expression by Generating the Poker Face With Vision Transformers

Authors: Jia Li Jiantao Nie Dan Guo et al.

Source: IEEE Transactions on Computational Social Systems. 12:1548-1562

Subject Terms: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://arxiv.org/abs/2207.11081

Lightweight Regression Model With Prediction Interval Estimation for Computer Vision-Based Winter Road Surface Condition Monitoring

Authors: Seppanen Alvari Ojala Risto

Source: IEEE Transactions on Intelligent Vehicles. 10:2206-2218

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

Access URL: http://arxiv.org/abs/2310.00923

Enhancing Computer Vision with Knowledge: a Rummikub Case Study

Authors: Vandevelde, Simon Mertens, Laurent Lauwers, Sverre et al.

Source: ESANN 2025 proceesdings. :201-206

Subject Terms: FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Logic in Computer Science (cs.LO)

Access URL: http://arxiv.org/abs/2411.18172

Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition

Authors: Romero-Tapiador, Sergio Tolosana, Ruben Lacruz-Pleguezuelos, Blanca et al.

Source: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :430-439

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2504.06925

Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset

Authors: Rahm Ranjan David Ahmedt-Aristizabal Mohammad Ali Armin et al.

Source: IEEE Access, Vol 13, Pp 45321-45339 (2025)

Subject Terms: FOS: Computer and information sciences, I.2.10, abnormal gait detection, vision-based action recognition, Computer Vision and Pattern Recognition (cs.CV), annotated gait videos, Computer Science - Computer Vision and Pattern Recognition, Electrical engineering. Electronics. Nuclear engineering, gait pathology classification, Clinical gait dataset, TK1-9971

Access URL: http://arxiv.org/abs/2407.04190
https://doaj.org/article/55971bdaff114ae8b6bc58f35f94452b

DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition

Authors: Li, Caoshuo Li, Tanzhe Hu, Xiaobin et al.

Source: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :20158-20168

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

Access URL: http://arxiv.org/abs/2503.14867