المؤلفون: Toby Perrett, Alessandro Masullo, Dima Damen, Tilo Burghardt, Ian Craddock, Majid Mirmehdi

المصدر: JMIR Formative Research, Vol 6, Iss 9, p e33606 (2022)

مصطلحات موضوعية: Medicine

وصف الملف: electronic resource

Relation: https://formative.jmir.org/2022/9/e33606; https://doaj.org/toc/2561-326X

URL الوصول: https://doaj.org/article/ff7d9cf48b284fd688251834ea1f9672

المؤلفون: Lili Tao, Tilo Burghardt, Majid Mirmehdi, Dima Damen, Ashley Cooper, Massimo Camplani, Sion Hannuna, Adeline Paiement, Ian Craddock

المصدر: IET Computer Vision, Vol 12, Iss 1, Pp 36-47 (2018)

مصطلحات موضوعية: energy expenditure estimation, visual sensors, physical activity levels, accelerometer sensors, RGB-depth camera, wearable inertial sensor, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-9632; https://doaj.org/toc/1751-9640

URL الوصول: https://doaj.org/article/3352893346164f96b808ee179fabc4ad

المؤلفون: Massimo Camplani, Adeline Paiement, Majid Mirmehdi, Dima Damen, Sion Hannuna, Tilo Burghardt, Lili Tao

المصدر: IET Computer Vision, Vol 11, Iss 4, Pp 265-285 (2017)

مصطلحات موضوعية: multiple human tracking, MHT, RGB-depth data, computer vision applications, appearance-based approaches, RGB-depth devices, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-9632; https://doaj.org/toc/1751-9640

URL الوصول: https://doaj.org/article/e23eb6652bd64c1092da9229f65628eb

المؤلفون: Alessandro Masullo, Tilo Burghardt, Dima Damen, Toby Perrett, Majid Mirmehdi

المصدر: Sensors, Vol 20, Iss 9, p 2576 (2020)

مصطلحات موضوعية: sensor fusion, digital health, silhouettes, accelerometer, ambient assisted living, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/9/2576; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/75515befb43440cab5af48d564b0b9d3

المؤلفون: Gabriele Bleser, Dima Damen, Ardhendu Behera, Gustaf Hendeby, Katharina Mura, Markus Miezal, Andrew Gee, Nils Petersen, Gustavo Maçães, Hugo Domingues, Dominic Gorecky, Luis Almeida, Walterio Mayol-Cuevas, Andrew Calway, Anthony G Cohn, David C Hogg, Didier Stricker

المصدر: PLoS ONE, Vol 10, Iss 6, p e0127769 (2015)

مصطلحات موضوعية: Medicine, Science

وصف الملف: electronic resource

Relation: http://europepmc.org/articles/PMC4488426?pdf=render; https://doaj.org/toc/1932-6203

URL الوصول: https://doaj.org/article/d02be13f2c3d47ccbd9b2ff6eab58e42

المؤلفون: Antonino Furnari, David Crandall, Dima Damen, Kristen Grauman, Giovanni Maria Farinella

المصدر: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:6602-6604

مصطلحات موضوعية: Computational Theory and Mathematics, Artificial Intelligence, Applied Mathematics, Computer Vision and Pattern Recognition, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::bcb3d47497554bb5ec3990322d7dc911
https://doi.org/10.1109/tpami.2023.3256679

المؤلفون: Adriano Fragomeni, Michael Wray, Dima Damen

المصدر: Computer Vision – ACCV 2022 ISBN: 9783031263156

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0e7a21cb9a87b627e4a4603d1123617b
https://doi.org/10.1007/978-3-031-26316-3_27

المؤلفون: Dima Damen, Michael Wray, Antonino Furnari, Will Price, Toby Perrett, Hazel Doughty, Jonathan Munro, Giovanni Maria Farinella, Jian Ma, Evangelos Kazakos, Davide Moltisanti

المساهمون: School of Computer Science and Engineering, Video & Image Sense Lab (IvI, FNWI)

المصدر: International Journal of Computer Vision, 130(1), 33-55. Springer Netherlands
Damen, D, Doughty, H R, Farinella, G M, Furnari, A, Kazakos, V, Ma, J, Moltisanti, D, Munro, J P N, Perrett, T J, Price, W & Wray, M 2022, ' Rescaling Egocentric Vision : Collection Pipeline and Challenges for EPIC-KITCHENS-100 ', International Journal of Computer Vision (IJCV), vol. 130, no. 1, pp. 33–55 . https://doi.org/10.1007/s11263-021-01531-2

مصطلحات موضوعية: First-person vision, Domain adaptation, Computer science, Annotation Quality, EPIC, Video dataset, Annotation quality, Pipeline (software), computer vision, Task (project management), Egocentric Vision, Multi-benchmark large-scale dataset, Action (philosophy), Artificial Intelligence, Anticipation (artificial intelligence), Human–computer interaction, Video Dataset, Pattern recognition (psychology), Action understanding, Action recognition, Computer science and engineering [Engineering], Action Understanding, Computer Vision and Pattern Recognition, Egocentric vision, Software

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::810bc29e80ddf76f617af8f5e21746ca
https://doi.org/10.1007/s11263-021-01531-2

المؤلفون: Hanyuan Wang, Majid Mirmehdi, Dima Damen, Perrett, Toby J.

المصدر: University of Bristol-PURE

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfc070eb2ceac335346d688f8f884d8e
https://doi.org/10.1109/avss56176.2022.9959554

المؤلفون: Dena Bazazian, Andrew Calway, Dima Damen

المصدر: Bazazian, D, Calway, A & Damen, D 2022, Dual-Domain Image Synthesis using Segmentation-Guided GAN . in Proceedings-2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022 . IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2022-June, Institute of Electrical and Electronics Engineers (IEEE), pp. 506-515 . https://doi.org/10.1109/CVPRW56347.2022.00066

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29a8aa7408bc3d752d3e1b2320aab656
http://arxiv.org/abs/2204.09015