◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Zhi Li

12 papers hereh-index 151.2k citations38 works total

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

author position
  • first author1
  • middle author11

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • eess.IV8
  • cs.AI2
  • cs.MM2
same name
  • Zhi Li — 18 papers, h 12
  • Zhi Li — 14 papers, h 7
  • Zhi Li — 13 papers, h 5
  • Zhi Li — 11 papers, h 16
  • Zhi Li — 10 papers, h 15
  • Zhi Li — 10 papers, h 2

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
20162022
most citedPerceptually Optimizing Deep Image Compression

8 citations · 23 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.AI2020★ 6 cited

Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy

Suiyi Ling, Jing Li, Anne Flore Perrin +3

The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human ob…

eess.IV2020

Perceptual Video Quality Prediction Emphasizing Chroma Distortions

Li-Heng Chen, Christos G. Bampis, Zhi Li +2

Measuring the quality of digital videos viewed by human observers has become a common practice in numerous multimedia applications, such as adaptive video streaming, quality monito…

eess.IV2020★ 8 cited

Perceptually Optimizing Deep Image Compression

Li-Heng Chen, Christos G. Bampis, Zhi Li +2

Mean squared error (MSE) and ℓp​ norms have largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties. However, when used…

cs.AI2020★ 4 cited

GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling

Jing Li, Suiyi Ling, Junle Wang +2

In the big data era, data labeling can be obtained through crowdsourcing. Nevertheless, the obtained labels are generally noisy, unreliable or even adversarial. In this paper, we p…

◍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.