◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Bing Zeng

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • eess.IV2
  • cs.CV1
ORCID 0000-0002-4491-7967
same name
  • Bing Zeng — 4 papers
  • Bing Zeng — 1 paper
  • Bing Zeng — 1 paper
  • Bing Zeng — 1 paper, 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

most citedOL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement

2 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2023★ 2 cited

Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions

Haipeng Li, Dingrui Liu, Yu Zeng +5

Accurate segmentation of lesions is crucial for diagnosis and treatment of early esophageal cancer (EEC). However, neither traditional nor deep learning-based methods up to today c…

cs.CV2022★ 1 cited

Ghost-free High Dynamic Range Imaging with Context-aware Transformer

Zhen Liu, Yinglong Wang, Bing Zeng +1

High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images with realistic details. Restricted by the locality of the receptive field, existing CNN-based m…

eess.IV2022★ 2 cited

OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement

Renwei Yang, Shuyuan Zhu, Xiaozhen Zheng +1

Convolution neural network (CNN) based methods offer effective solutions for enhancing the quality of compressed image and video. However, these methods ignore using the raw data t…

◍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.