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
11.
Singla S, Murali N, Arabshahi F, Triantafyllou S, Batmanghelich K
IEEE Winter Conf Appl Comput Vis
. 2023 Sep;
2023:4709-4719.
PMID: 37724183
A highly accurate but overconfident model is ill-suited for deployment in critical applications such as healthcare and autonomous driving. The classification outcome should reflect a high uncertainty on ambiguous in-distribution...
12.
Farazi M, Zhu W, Yang Z, Wang Y
IEEE Winter Conf Appl Comput Vis
. 2023 Aug;
2023:3145-3154.
PMID: 37621734
This paper studies 3D dense shape correspondence, a key shape analysis application in computer vision and graphics. We introduce a novel hybrid geometric deep learning-based model that learns geometrically meaningful...
13.
Jaiswal A, Chen T, Rousseau J, Peng Y, Ding Y, Wang Z
IEEE Winter Conf Appl Comput Vis
. 2023 Apr;
2023:4976-4985.
PMID: 37051561
Deep neural networks (DNNs) have rapidly become a de facto choice for medical image understanding tasks. However, DNNs are notoriously fragile to the class imbalance in image classification. We further...
14.
Liu K, Li B, Wu W, May C, Chang O, Knezevich S, et al.
IEEE Winter Conf Appl Comput Vis
. 2023 Mar;
2023:1918-1927.
PMID: 36865487
Detection of melanocytes serves as a critical prerequisite in assessing melanocytic growth patterns when diagnosing melanoma and its precursor lesions on skin biopsy specimens. However, this detection is challenging due...
15.
Han Y, Chen C, Tewfik A, Glicksberg B, Ding Y, Peng Y, et al.
IEEE Winter Conf Appl Comput Vis
. 2022 Oct;
2022:1789-1798.
PMID: 36300103
Accurate classification and localization of abnormalities in chest X-rays play an important role in clinical diagnosis and treatment planning. Building a highly accurate predictive model for these tasks usually requires...
16.
Wang H, Xian M, Vakanski A
IEEE Winter Conf Appl Comput Vis
. 2022 May;
2022:3241-3249.
PMID: 35509894
Gland segmentation is a critical step to quantitatively assess the morphology of glands in histopathology image analysis. However, it is challenging to separate densely clustered glands accurately. Existing deep learning-based...
17.
Fan Y, Wang Y
IEEE Winter Conf Appl Comput Vis
. 2022 Apr;
2022:2743-2752.
PMID: 35434445
Bayesian learning with Gaussian processes demonstrates encouraging regression and classification performances in solving computer vision tasks. However, Bayesian methods on 3D manifold-valued vision data, such as meshes and point clouds,...
18.
Adeli E, Zhao Q, Pfefferbaum A, Sullivan E, Fei-Fei L, Niebles J, et al.
IEEE Winter Conf Appl Comput Vis
. 2021 Sep;
2021:2512-2522.
PMID: 34522832
Presence of bias (in datasets or tasks) is inarguably one of the most critical challenges in machine learning applications that has alluded to pivotal debates in recent years. Such challenges...
19.
Khademi W, Rao S, Minnerath C, Hagen G, Ventura J
IEEE Winter Conf Appl Comput Vis
. 2021 Jul;
2021:2130-2138.
PMID: 34296053
We extend the blindspot model for self-supervised denoising to handle Poisson-Gaussian noise and introduce an improved training scheme that avoids hyperparameters and adapts the denoiser to the test data. Self-supervised...
20.
Kaur H, Manduchi R
IEEE Winter Conf Appl Comput Vis
. 2021 Apr;
2021:11-20.
PMID: 33851070
We propose a method for synthesizing eye images from segmentation masks with a desired style. The style encompasses attributes such as skin color, texture, iris color, and personal identity. Our...