Suchergebnisse - "IEEE Conference on Computer Vision and Pattern Recognition. Proceedings"

Neural Network Techniques for Image Style Transfer.

Autoren: Zhang, Ziqi

Quelle: ITM Web of Conferences; 2/17/2025, Vol. 73, p1-12, 12p

New-generation rice seed germination assessment: high efficiency and flexibility via SeedRuler web-based platform.

Autoren: Hou, Zeyu Zhao, Jinfeng Dai, Sheng et al.

Quelle: Frontiers in Plant Science; 2025, p1-18, 18p

Schlagwörter: RICE seeds, GERMINATION, WEBSITES, DEEP learning, CROP management, IMAGE processing, AGRICULTURAL research, WEB-based user interfaces

A review on 3D Gaussian splatting for sparse view reconstruction.

Autoren: Liu, Haitian Liu, Binglin Hu, Qianchao et al.

Quelle: Artificial Intelligence Review; Jul2025, Vol. 58 Issue 7, p1-40, 40p

Enhancement of the prediction of the openness of fresh-cut roses with an improved YOLOv8s model validated by an automatic Grading Machine.

Autoren: Lai, Qinghui Yang, Zhanwei Su, Wei et al.

Quelle: Frontiers in Plant Science; 2025, p1-14, 14p

Schlagwörter: MANUAL labor, FIELD research, ROSES, HUMAN abnormalities, FORECASTING

Refine for Semantic Segmentation Based on Parallel Convolutional Network with Attention Model.

Autoren: Peng, Gang Yang, Shiqi Wang, Hao

Quelle: Neural Processing Letters; Dec2021, Vol. 53 Issue 6, p4177-4188, 12p

Schlagwörter: CONVOLUTIONAL neural networks, MACHINE learning, PIXELS

Approximate homomorphic encryption based privacy-preserving machine learning: a survey: Approximate Homomorphic Encryption...: J. Yuan et al.

Autoren: Yuan, Jiangjun Liu, Weinan Shi, Jiawen et al.

Quelle: Artificial Intelligence Review; Mar2025, Vol. 58 Issue 3, p1-49, 49p

Schlagwörter: MACHINE learning, PRODUCTIVE life span, DATA science, PRIVACY, EVERYDAY life

Advancements in Smart Wearable Mobility Aids for Visual Impairments: A Bibliometric Narrative Review.

Autoren: Zhang, Xiaochen Huang, Xiaoyu Ding, Yiran et al.

Quelle: Sensors (14248220); Dec2024, Vol. 24 Issue 24, p7986, 28p

Schlagwörter: SUBSTITUTION (Technology), PEOPLE with visual disabilities, CONGREGATE housing, BIBLIOMETRICS, VISION disorders, ASSISTIVE technology

A Context-Aware Loss Function for Action Spotting in Soccer Videos

Autoren: Cioppa, Anthony Deliège, Adrien Giancola, Silvio et al.

Weitere Verfasser: Cioppa, Anthony Deliège, Adrien Giancola, Silvio et al.

Quelle: IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 13123-13133 (2020-06); IEEE Conference on Computer Vision and Pattern Recognition, Seattle, United States - Washington [US-WA], from 14-06-2020 to 19-06-2020

Schlagwörter: action spotting, artificial intelligence, soccer videos, deep learning, context-aware loss, highlights generation, sports, sport, football, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://arxiv.org/abs/1912.01326; urn:issn:1063-6919; urn:issn:2575-7075; https://orbi.uliege.be/handle/2268/241893; info:hdl:2268/241893; https://orbi.uliege.be/bitstream/2268/241893/1/Cioppa2020AContextAware.pdf

Verfügbarkeit: https://orbi.uliege.be/handle/2268/241893
https://orbi.uliege.be/bitstream/2268/241893/1/Cioppa2020AContextAware.pdf
https://doi.org/10.1109/CVPR42600.2020.01314

Multimodal and multiview distillation for real-time player detection on a football field

Autoren: Cioppa, Anthony Deliège, Adrien Noor, Ul Huda et al.

Weitere Verfasser: Cioppa, Anthony Deliège, Adrien Noor, Ul Huda et al.

Quelle: IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 3846-3855 (2020-06); IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) - CVSports, Seattle, United States - Washington [US-WA], from 14-06-2020 to 19-06-2020

Schlagwörter: multiview distillation, multimodal distillation, knowledge distillation, deep learning, player detection, thermal camera, fisheye camera, real-time detection, football, ViBe, Sports, Sport, Soccer, Engineering, computing & technology, Electrical & electronics engineering, Ingénierie, informatique & technologie, Ingénierie électrique & électronique

Relation: urn:issn:1063-6919; urn:issn:2575-7075; https://orbi.uliege.be/handle/2268/246668; info:hdl:2268/246668; https://orbi.uliege.be/bitstream/2268/246668/1/Cioppa2020Multimodal.pdf

Verfügbarkeit: https://orbi.uliege.be/handle/2268/246668
https://orbi.uliege.be/bitstream/2268/246668/1/Cioppa2020Multimodal.pdf
https://doi.org/10.1109/CVPRW50498.2020.00448

Spy monitoring system using machine learning algorithm.

Autoren: Srivastav, Amit Singh, Roshan

Quelle: AIP Conference Proceedings; 2024, Vol. 3075 Issue 1, p1-10, 10p

Schlagwörter: MACHINE learning, OBJECT recognition (Computer vision), VIDEO surveillance, CRISIS management, HUMAN body, TRAFFIC accidents, ESPIONAGE

Mid-Air: A multi-modal dataset for extremely low altitude drone flights

Autoren: Fonder, Michaël Van Droogenbroeck, Marc Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège et al.

Weitere Verfasser: Fonder, Michaël Van Droogenbroeck, Marc Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège et al.

Quelle: IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 553-562 (2019-06); IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) - UAVision, Long Beach, United States - California [US-CA], from 16-06-2019 to 20-06-2019

Schlagwörter: Mid-Air, UAV, Drone, Multi-modal, RGB images, Depth, Drone flight, Unstructured environment, Positioning, Dataset, Database, Benchmark, Engineering, computing & technology, Electrical & electronics engineering, Ingénierie, informatique & technologie, Ingénierie électrique & électronique

Relation: http://midair.ulg.ac.be; urn:issn:1063-6919; urn:issn:2575-7075; https://orbi.uliege.be/handle/2268/234665; info:hdl:2268/234665; https://orbi.uliege.be/bitstream/2268/234665/1/Fonder2019MidAir.pdf

Verfügbarkeit: https://orbi.uliege.be/handle/2268/234665
https://orbi.uliege.be/bitstream/2268/234665/1/Fonder2019MidAir.pdf
https://doi.org/10.1109/CVPRW.2019.00081

Transfer Learning based Human Activity Recognition in Video Data.

Autoren: Gupta, Saurabh Mahapatra, Rajendra Prasad

Quelle: Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 4, p4944-4951, 8p

Schlagwörter: HUMAN activity recognition, HUMAN behavior, CONVOLUTIONAL neural networks, PUBLIC spaces, LEARNING strategies, VIRTUAL reality, GYROSCOPES

Glomerulosclerosis detection with pre-trained CNNs ensemble.

Autoren: Santos, Justino Silva, Romuere Oliveira, Luciano et al.

Quelle: Computational Statistics; Apr2024, Vol. 39 Issue 2, p561-581, 21p

Schlagwörter: GLOMERULOSCLEROSIS, KIDNEY cortex, RENAL biopsy, KIDNEY diseases, STANDARD deviations

Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images.

Autoren: Chauhan, Sohamkumar Edla, Damoder Reddy Boddu, Vijayasree et al.

Quelle: BMC Medical Imaging; 1/2/2024, Vol. 24 Issue 1, p1-15, 15p

Schlagwörter: CONVOLUTIONAL neural networks, X-ray imaging, COMPUTER vision, DEEP learning, COVID-19

Markov Weight Fields for face sketch synthesis

Autoren: Zhou, H Kuang, Z Wong, KKY

Schlagwörter: Convex quadratic programming, Markov property, Face sketch synthesis, Decomposition methods, Markov random fields models

Relation: IEEE Conference on Computer Vision and Pattern Recognition Proceedings; 1097; 203486; 1091; http://hdl.handle.net/10722/160098

Verfügbarkeit: https://doi.org/10.1109/CVPR.2012.6247788
http://hdl.handle.net/10722/160098

Learning image-specific parameters for interactive segmentation

Autoren: Peng, B Zhou, H Kuang, Z et al.

Schlagwörter: Approximation scheme, Interactive image segmentation, Energy margin, Cutting plane methods, Conditional random field

Relation: IEEE Conference on Computer Vision and Pattern Recognition Proceedings; 597; 200763; 590; http://hdl.handle.net/10722/152969

Verfügbarkeit: https://doi.org/10.1109/CVPR.2012.6247725
http://hdl.handle.net/10722/152969

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding

Autoren: Wang, Changshuo He, Shuting Fang, Xiang et al.

Quelle: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition IEEE Conference on Computer Vision and Pattern Recognition. Proceedings. :22182-22192

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-57482

Estimating chronological age through learning local and global features of panoramic radiographs in the Korean population.

Autoren: Yeom, Han-Gyeol Lee, Byung-Do Lee, Wan et al.

Quelle: Scientific Reports; 12/9/2023, Vol. 13 Issue 1, p1-8, 8p

Schlagwörter: AGE, KOREANS, TRANSFORMER models, YOUNG adults, STANDARD deviations

An improved multi-scale gradient generative adversarial network for enhancing classification of colorectal cancer histological images.

Autoren: Liwen Jiang Shuting Huang Chaofan Luo et al.

Quelle: Frontiers in Oncology; 2023, p1-13, 13p

Schlagwörter: GENERATIVE adversarial networks, COLORECTAL cancer, IMAGE recognition (Computer vision), TUMOR classification, DATA distribution

High-quality 3D Object Detection Based on Instance-aware Sampling.

Autoren: Zhang, Xiao Xu, Bingrong Lu, Liping

Quelle: Journal of Physics: Conference Series; Nov2023, Vol. 2674 Issue 1, p1-9, 9p