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researcher

Chao Yao

University of Science and Technology, Beijing

18 papers hereh-index 12475 citations55 works total

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

author position
  • first author1
  • middle author13
  • last author2

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • eess.IV7
  • cs.MM1
affiliations
  • University of Science and Technology, Beijing
same name
  • Chao Yao — 6 papers, h 2
  • Chao Yao — 4 papers, h 5
  • Chao Yao — 4 papers, h 4
  • Chao Yao — 3 papers, h 9
  • Chao Yao — 3 papers, h 3
  • Chao Yao — 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
20222026
most citedTemporal Consistency Learning of inter-frames for Video Super-Resolution

41 citations · 58 across the 18 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

eess.IV2025

Symmetric Entropy-Constrained Video Coding for Machines

Yuxiao Sun, Meiqin Liu, Chao Yao +5

As video transmission increasingly serves machine vision systems (MVS) instead of human vision systems (HVS), video coding for machines (VCM) has become a critical research topic.…

cs.CV2025

MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution

Linfeng He, Meiqin Liu, Qi Tang +2

Video super-resolution (VSR) faces critical challenges in effectively modeling non-local dependencies across misaligned frames while preserving computational efficiency. Existing V…

eess.IV2025

Embedding Compression Distortion in Video Coding for Machines

Yuxiao Sun, Yao Zhao, Meiqin Liu +2

Currently, video transmission serves not only the Human Visual System (HVS) for viewing but also machine perception for analysis. However, existing codecs are primarily optimized f…

eess.IV2025★ 2 cited

TransVFC: A Transformable Video Feature Compression Framework for Machines

Yuxiao Sun, Yao Zhao, Meiqin Liu +4

Nowadays, more and more video transmissions primarily aim at downstream machine vision tasks rather than humans. While widely deployed Human Visual System (HVS) oriented video codi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.