◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Zhengyu Liang

National University of Defense Technology

3 papers hereh-index 7418 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
affiliations
  • National University of Defense Technology
same name
  • Zhengyu Liang — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedLight Field Image Super-Resolution with Transformers

192 citations · 198 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 4 cited

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results

Yingqian Wang, Longguang Wang, Zhengyu Liang +3

In this report, we summarize the first NTIRE challenge on light field (LF) image super-resolution (SR), which aims at super-resolving LF images under the standard bicubic degradati…

cs.CV2022★ 2 cited

Occlusion-Aware Cost Constructor for Light Field Depth Estimation

Yingqian Wang, Longguang Wang, Zhengyu Liang +3

Matching cost construction is a key step in light field (LF) depth estimation, but was rarely studied in the deep learning era. Recent deep learning-based LF depth estimation metho…

cs.CV2021★ 192 cited

Light Field Image Super-Resolution with Transformers

Zhengyu Liang, Yingqian Wang, Longguang Wang +2

Light field (LF) image super-resolution (SR) aims at reconstructing high-resolution LF images from their low-resolution counterparts. Although CNN-based methods have achieved remar…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.