Ieee Winter Conference on Applications of Computer Vision
Overview
Ieee Winter Conference on Applications of Computer Vision is a scientific journal, published since 2014 in English. The journal's country of origin is United States.
Details
Details
Abbr.
IEEE Winter Conf Appl Comput Vis
Start
2014
End
Continuing
p-ISSN
2472-6737
e-ISSN
2472-6796
Country
United States
Language
English
Recent Articles
1.
Hung A, Zheng H, Zhao K, Du X, Pang K, Miao Q, et al.
IEEE Winter Conf Appl Comput Vis
. 2024 Aug;
2024:5911-5920.
PMID: 39193208
A large portion of volumetric medical data, especially magnetic resonance imaging (MRI) data, is anisotropic, as the through-plane resolution is typically much lower than the in-plane resolution. Both 3D and...
2.
Tang Y, Bejar B, Vidal R
IEEE Winter Conf Appl Comput Vis
. 2024 Aug;
2024:6444-6454.
PMID: 39171198
Recent work on action recognition leverages 3D features and textual information to achieve state-of-the-art performance. However, most of the current few-shot action recognition methods still rely on 2D frame-level representations,...
3.
Zhang Z, Wang B, Jha D, Demir U, Bagci U
IEEE Winter Conf Appl Comput Vis
. 2024 Jul;
2024:1989-1998.
PMID: 38978834
Domain generalization (DG) approaches intend to extract domain invariant features that can lead to a more robust deep learning model. In this regard, style augmentation is a strong DG method...
4.
Ma T, Zhang H, Ong H, Vora A, Nguyen T, Gupta A, et al.
IEEE Winter Conf Appl Comput Vis
. 2024 Jul;
2021:325-334.
PMID: 38978709
Segmentation of anatomical regions of interest such as vessels or small lesions in medical images is still a difficult problem that is often tackled with manual input by an expert....
5.
Yellapragada S, Graikos A, Prasanna P, Kurc T, Saltz J, Samaras D
IEEE Winter Conf Appl Comput Vis
. 2024 May;
2024:5170-5179.
PMID: 38808304
To achieve high-quality results, diffusion models must be trained on large datasets. This can be notably prohibitive for models in specialized domains, such as computational pathology. Conditioning on labeled data...
6.
Siddiquee M, Shah J, Wu T, Chong C, Schwedt T, Dumkrieger G, et al.
IEEE Winter Conf Appl Comput Vis
. 2024 May;
2024:7558-7567.
PMID: 38720667
Harnessing the power of deep neural networks in the medical imaging domain is challenging due to the difficulties in acquiring large annotated datasets, especially for rare diseases, which involve high...
7.
Shah J, Siddiquee M, Su Y, Wu T, Li B
IEEE Winter Conf Appl Comput Vis
. 2024 Apr;
2024:7867-7876.
PMID: 38606366
Age is one of the major known risk factors for Alzheimer's Disease (AD). Detecting AD early is crucial for effective treatment and preventing irreversible brain damage. Brain age, a measure...
8.
Le H, Smailis C, Shi W, Kakadiaris I
IEEE Winter Conf Appl Comput Vis
. 2024 Mar;
:2674-2683.
PMID: 38468706
Surveillance-related datasets that have been released in recent years focus only on one specific problem at a time (e.g., pedestrian detection, face detection, or face recognition), while most of them...
9.
Niinuma K, Onal Ertugrul I, Cohn J, Jeni L
IEEE Winter Conf Appl Comput Vis
. 2024 Jan;
2021:1247-1256.
PMID: 38250021
Critical obstacles in training classifiers to detect facial actions are the limited sizes of annotated video databases and the relatively low frequencies of occurrence of many actions. To address these...
10.
Keaton M, Zaveri R, Doretto G
IEEE Winter Conf Appl Comput Vis
. 2024 Jan;
2023:455-466.
PMID: 38170053
Automated cellular instance segmentation is a process utilized for accelerating biological research for the past two decades, and recent advancements have produced higher quality results with less effort from the...