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Ying Fu

4 papers hereh-index 5354 citations6 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Ying Fu — 24 papers, h 39
  • Ying Fu — 13 papers, h 11
  • Ying Fu — 13 papers, h 4
  • Ying Fu — 8 papers, h 7
  • Ying Fu — 6 papers, h 4
  • Ying Fu — 6 papers, h 7

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
20202023
most citedPartial FC: Training 10 Million Identities on a Single Machine

32 citations · 40 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 2 cited

MPI-Flow: Learning Realistic Optical Flow with Multiplane Images

Yingping Liang, Jiaming Liu, Debing Zhang +1

The accuracy of learning-based optical flow estimation models heavily relies on the realism of the training datasets. Current approaches for generating such datasets either employ…

cs.CV2023

Recurrent Self-Supervised Video Denoising with Denser Receptive Field

Zichun Wang, Yulun Zhang, Debing Zhang +1

Self-supervised video denoising has seen decent progress through the use of blind spot networks. However, under their blind spot constraints, previous self-supervised video denoisi…

cs.CV2022★ 6 cited

End-to-End Video Text Spotting with Transformer

Weijia Wu, Yuanqiang Cai, Chunhua Shen +4

Recent video text spotting methods usually require the three-staged pipeline, i.e., detecting text in individual images, recognizing localized text, tracking text streams with post…

cs.CV2020★ 32 cited

Partial FC: Training 10 Million Identities on a Single Machine

Xiang An, Xuhan Zhu, Yang Xiao +7

Training face recognition models with millions of identities is challenging because classifier storage, logit memory, and computation grow linearly with the number of classes, even…

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