Debin Zhao
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Explore the profile of Debin Zhao including associated specialties, affiliations and a list of published articles.
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24
Citations
69
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Recent Articles
1.
Yu C, Fan X, Chen P, Ni Y, Man H, Zhao D
IEEE Trans Image Process
. 2024 Oct;
33:6129-6142.
PMID: 39437294
The sphere-to-plane projection of 360-degree video introduces substantial stretched redundant data, which is discarded when reprojected to the 3D sphere for display. Consequently, encoding and transmitting such redundant data is...
2.
Shao M, Zhu H, Zhao D, Han K, Jiang F, Liu S, et al.
IEEE Trans Neural Netw Learn Syst
. 2024 Sep;
PP.
PMID: 39302800
Training an effective policy on complex goal-reaching tasks with sparse rewards is an open challenge. It is more difficult for the task of reaching remote goals (RRG), as the unavailability...
3.
Shi G, Wu T, Li X, Zhao D, Yin Q, Zhu L
Front Neurosci
. 2024 May;
18:1385675.
PMID: 38765669
Background: MicroRNAs (miRNAs) have pivotal roles in gene regulation. Circulating miRNAs have been developed as novel candidate non-invasive biomarkers for diagnosis, prognosis, and treatment response for diseases. However, miRNAs that...
4.
Man H, Fan X, Xiong R, Zhao D
IEEE Trans Image Process
. 2023 Jun;
32:3493-3506.
PMID: 37335802
Intra prediction is a crucial part of video compression, which utilizes local information in images to eliminate spatial redundancy. As the state-of-the-art video coding standard, Versatile Video Coding (H.266/VVC) employs...
5.
Sun C, Fan X, Zhao D
IEEE Trans Image Process
. 2023 Apr;
PP.
PMID: 37015483
JPEG, which was developed 30 years ago, is the most widely used image coding format, especially favored by the resource-deficient devices, due to its simplicity and efficiency. With the evolution...
6.
Zhong Z, Liu X, Jiang J, Zhao D, Ji X
IEEE Trans Neural Netw Learn Syst
. 2023 Apr;
35(9):12236-12250.
PMID: 37015130
Guided filter is a fundamental tool in computer vision and computer graphics, which aims to transfer structure information from the guide image to the target image. Most existing methods construct...
7.
Zhong Z, Liu X, Jiang J, Zhao D, Chen Z, Ji X
IEEE Trans Image Process
. 2021 Dec;
31:648-663.
PMID: 34878976
Depth map records distance between the viewpoint and objects in the scene, which plays a critical role in many real-world applications. However, depth map captured by consumer-grade RGB-D cameras suffers...
8.
Zhao W, Liu X, Wang S, Fan X, Zhao D
IEEE Trans Vis Comput Graph
. 2019 Oct;
27(3):1937-1952.
PMID: 31567093
Distinguishing between geometric features and noise is of paramount importance for mesh denoising. In this paper, a graph-based feature-preserving mesh normal filtering scheme is proposed, which includes two stages: graph-based...
9.
Shi W, Jiang F, Liu S, Zhao D
IEEE Trans Image Process
. 2019 Jul;
PMID: 31331892
In the study of compressed sensing (CS), the two main challenges are the design of sampling matrix and the development of reconstruction method. On the one hand, the usually used...
10.
Liu X, Zhai D, Chen R, Ji X, Zhao D, Gao W
IEEE Trans Image Process
. 2018 Oct;
28(4):1636-1645.
PMID: 30334757
Depth information is being widely used in many real-world applications. However, due to the limitation of depth sensing technology, the captured depth map in practice usually has much lower resolution...