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Yuxin Peng

3 papers here

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

author position
  • middle author2
  • last author1

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

fields
  • cs.CV3
ORCID 0000-0001-7658-3845
same name
  • Yuxin Peng — 21 papers, h 46
  • Yuxin Peng — 21 papers, h 11
  • Yuxin Peng — 11 papers, h 2
  • Yuxin Peng — 9 papers, h 8
  • Yuxin Peng — 7 papers, h 13
  • Yuxin Peng — 5 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 citedThe Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

12 citations · 22 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 9 cited

SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization

Hongbo Sun, Xiangteng He, Yuxin Peng

Fine-grained visual categorization (FGVC) aims at recognizing objects from similar subordinate categories, which is challenging and practical for human's accurate automatic recogni…

cs.CV2022★ 1 cited

Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report

Minghang Zheng, Dejie Yang, Zhongjie Ye +3

In this technical report, we briefly introduce the solutions of our team `PKU-WICT-MIPL' for the PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022. Given an untri…

cs.CV2014★ 12 cited

The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

Tianjun Xiao, Yichong Xu, Kuiyuan Yang +3

Fine-grained classification is challenging because categories can only be discriminated by subtle and local differences. Variances in the pose, scale or rotation usually make the p…

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