Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Jianbo Jiao"'
Autor:
Jianbo Jiao, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, Andrew Zisserman, J. Alison Noble
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Auditory and visual signals are two primary perception modalities that are usually present together and correlate with each other, not only in natural environments but also in clinical settings. However, audio-visual modelling in the latter
Externí odkaz:
https://doaj.org/article/f42c58b8d1404590b3f681b9783aded4
Publikováno v:
IEEE Access, Vol 8, Pp 16627-16636 (2020)
Single image de-raining is challenging especially in the scenarios with dense rain streaks. Existing methods resolve this problem by predicting the rain streaks of the image, which constrains the network to focus on local rain streaks features. Howev
Externí odkaz:
https://doaj.org/article/034232a41f164468afb239cdb877ed5b
Publikováno v:
IEEE MultiMedia. :1-11
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:8082-8096
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmentation, i.e., training accurate semantic segmentation models using bound
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250651
Self-supervised contrastive representation learning offers the advantage of learning meaningful visual representations from unlabeled medical datasets for transfer learning. However, applying current contrastive learning approaches to medical data wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e80ea36e4aec8f53c715f6f21d934c48
https://ora.ox.ac.uk/objects/uuid:512ab468-f144-46d2-a44c-7546752dd3ed
https://ora.ox.ac.uk/objects/uuid:512ab468-f144-46d2-a44c-7546752dd3ed
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-20
Due to the challenges of densely compacted body parts, nonrigid clothing items, and severe overlap in crowd scenes, human parsing needs to focus more on multilevel feature representations compared to general scene parsing tasks. Based on this observa
Salient object detection identifies objects in an image that grab visual attention. Although contextual features are considered in recent literature, they often fail in real-world complex scenarios. We observe that this is mainly due to two issues: F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e4cb1a3ed7d9e662c1c283452cb019b
https://doi.org/10.1109/iccv48922.2021.00412
https://doi.org/10.1109/iccv48922.2021.00412
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Discriminative learning-based image denoisers have achieved promising performance on synthetic noises such as Additive White Gaussian Noise (AWGN). The synthetic noises adopted in most previous work are pixel-independent, but real noises are mostly s
Publikováno v:
IEEE Access, Vol 8, Pp 16627-16636 (2020)
Single image de-raining is challenging especially in the scenarios with dense rain streaks. Existing methods resolve this problem by predicting the rain streaks of the image, which constrains the network to focus on local rain streaks features. Howev
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) is employed. Although expert sonographers are adept at reading US image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20550a492c6c1d06fad11be45be67fe7
https://ora.ox.ac.uk/objects/uuid:8ce5a71a-4246-4d4f-a635-e2b70552c015
https://ora.ox.ac.uk/objects/uuid:8ce5a71a-4246-4d4f-a635-e2b70552c015