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Zhiyong Xie

dblp:04/2696 · DBLP profile ↗
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6ranked-venue papers
3as first author
1since 2021 · last 2024
0009-0000-0457-4982ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 6 · 3 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Image and video coding · 45% Computational photography and imaging · 45% Image and video processing · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › image compression
high dynamic range image coding
0.812024
Learned HDR Image Compression for Perceptually Optimal Storage and Display · ECCV (49) 2024
Computational photography and imaging
high dynamic range imaging
0.812024
Learned HDR Image Compression for Perceptually Optimal Storage and Display · ECCV (49) 2024
Image and video processing › image registration
deformable image registration
0.012004
Image Registration Using Hierarchical B-Splines · IEEE Trans. Vis. Comput. Graph. 2004
Geometric modeling and processing › deformation
free-form deformation
0.012004
Image Registration Using Hierarchical B-Splines · IEEE Trans. Vis. Comput. Graph. 2004
Image and video processing
image registration
0.012004
Image Registration Using Hierarchical B-Splines · IEEE Trans. Vis. Comput. Graph. 2004
Image and video processing › image registration
intensity-based registration
0.012004
Image Registration Using Hierarchical B-Splines · IEEE Trans. Vis. Comput. Graph. 2004

Methods — techniques the papers use, named apart from their topics

deep learning · 0.8optical flow · 0.0iterative closest point · 0.0hierarchical b-splines · 0.0
YearPublicationVenuePosition
2024 Learned HDR Image Compression for Perceptually Optimal Storage and Display
Peibei Cao, Jingzhe Ma, Yu-Chieh Yuan, Zhiyong Xie, Haiqing Bai, Kede Ma
ECCV (49)5
2010 In Vivo MRI Assessment of Knee Cartilage in the Medial Meniscal Tear Model of Osteoarthritis in Rats
Zhiyong Xie, Serguei Liachenko, Ping-Chun Chiao, Santos Carvajal-Gonzalez, Susan Bove, Thomas Bocan
MICCAI (3)1
2010 Characterizing the Regional Structural Difference of the Brain between Tau Transgenic (rTg4510) and Wild-Type Mice Using MRI
Zhiyong Xie, Dewen Yang, Diane Stephenson, Daniel Morton, Carol D. Hicks, Tracy M. Brown, Thomas Bocan
MICCAI (1)1
2004 Regional Structural Characterization of the Brain of Schizophrenia Patients
Abraham Dubb, Paul A. Yushkevich, Zhiyong Xie, Ruben C. Gur, Raquel E. Gur, James C. Gee
MICCAI (2)3
2004 Image Registration Using Hierarchical B-Splines
abstract
Hierarchical B-splines have been widely used for shape modeling since their discovery by Forsey and Bartels. In this paper, we present an application of this concept, in the form of free-form deformation, to image registration by matching two images at increasing levels of detail. Results using MRI brain data are presented that demonstrate high degrees of matching while unnecessary distortions are avoided. We compare our results with the nonlinear ICP (Iterative Closest Point) algorithm (used for landmark-based registration) and optical flow (used for intensity-based registration).
Zhiyong Xie, Gerald E. Farin
IEEE Trans. Vis. Comput. Graph.1
2003 Characterization of Brain Plasticity in Schizophrenia Using Template Deformation
Abraham Dubb, Zhiyong Xie, Ruben C. Gur, Raquel E. Gur, James C. Gee
MICCAI (2)2