Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Yi-Chun Hung

dblp:317/2348 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0002-1283-3312ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 processing · 50% Computational photography and imaging · 50%
Artificial intelligence
1 paper
Deep learning architectures and training · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
image restoration
1.222023
Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration · Int. J. Comput. Vis. 2023
Seeing Through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration · ECCV (7) 2022
Computational photography and imaging › image acquisition
terahertz imaging
0.612022
Seeing Through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration · ECCV (7) 2022

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

subspace learning · 1.1attention mechanism · 1.1physics-guided learning · 0.7
YearPublicationVenuePosition
2023 Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration
Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Shang-Hua Yang, Chia-Wen Lin
Int. J. Comput. Vis.2
2022 Seeing Through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration
Wen-Tai Su, Yi-Chun Hung, Po-Jen Yu, Shang-Hua Yang, Chia-Wen Lin
ECCV (7)2