◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jun Shi

3 papers here

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

author position
  • first author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1
ORCID 0000-0003-2945-7795
same name
  • Jun Shi — 1 paper
  • Jun Shi — 1 paper, 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

most citedLightweight Image Super-Resolution with Adaptive Weighted Learning Network

82 citations · 101 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2019★ 19 cited

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

Kai Zhang, Shuhang Gu, Radu Timofte +26

This paper reviews the AIM 2019 challenge on constrained example-based single image super-resolution with focus on proposed solutions and results. The challenge had 3 tracks. Takin…

eess.IV2019

Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics

Jun Shi, Zhibo Chen

Rapid growing intelligent applications require optimized bit allocation in image/video coding to support specific task-driven scenarios such as detection, classification, segmentat…

cs.CV2019★ 82 cited

Lightweight Image Super-Resolution with Adaptive Weighted Learning Network

Chaofeng Wang, Zheng Li, Jun Shi

Deep learning has been successfully applied to the single-image super-resolution (SISR) task with great performance in recent years. However, most convolutional neural network base…

◍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.