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Jun Yu

5 papers hereh-index 7131 citations16 works total

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

author position
  • first author1

Across the 1 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI1
same name
  • Jun Yu — 23 papers, h 42
  • Jun Yu — 12 papers, h 8
  • Jun Yu — 12 papers, h 11
  • Jun Yu — 12 papers, h 6
  • Jun Yu — 11 papers, h 6
  • Jun Yu — 10 papers, h 4

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 citedMulti-model Ensemble Learning Method for Human Expression Recognition

4 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement

Jun Yu, Shenshen Du, Guochen Xie +4

Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation is a fundamental task in remote sensing that can enrich the dataset by fusing information from different so…

cs.CV2023★ 1 cited

Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition

Jun Yu, Zhongpeng Cai, Renda Li +4

Facial Expression Recognition (FER) is an important task in computer vision and has wide applications in human-computer interaction, intelligent security, emotion analysis, and oth…

cs.CV2023

Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection

Jun Yu, Renda Li, Zhongpeng Cai +4

Human affective behavior analysis plays a vital role in human-computer interaction (HCI) systems. In this paper, we introduce our submission to the CVPR 2023 Competition on Affecti…

cs.CV2022★ 4 cited

Multi-model Ensemble Learning Method for Human Expression Recognition

Jun Yu, Zhongpeng Cai, Peng He +2

Analysis of human affect plays a vital role in human-computer interaction (HCI) systems. Due to the difficulty in capturing large amounts of real-life data, most of the current met…

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