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Pei Yu

8 papers hereh-index 8540 citations15 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.DB1
same name
  • Pei Yu — 7 papers, h 2
  • Pei Yu — 4 papers, h 1
  • Pei Yu — 1 paper, h 1
  • Pei Yu — 1 paper, h 1
  • Pei Yu — 1 paper, h 3
  • Pei Yu — 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

activity
20192022
most citedUnsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

37 citations · 60 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 2 cited

The Overlooked Classifier in Human-Object Interaction Recognition

Ying Jin, Yinpeng Chen, Lijuan Wang +5

Human-Object Interaction (HOI) recognition is challenging due to two factors: (1) significant imbalance across classes and (2) requiring multiple labels per image. This paper shows…

cs.CV2021★ 5 cited

Improving Vision Transformers for Incremental Learning

Pei Yu, Yinpeng Chen, Ying Jin +1

This paper proposes a working recipe of using Vision Transformer (ViT) in class incremental learning. Although this recipe only combines existing techniques, developing the combina…

cs.CV2021★ 4 cited

Is Object Detection Necessary for Human-Object Interaction Recognition?

Ying Jin, Yinpeng Chen, Lijuan Wang +4

This paper revisits human-object interaction (HOI) recognition at image level without using supervisions of object location and human pose. We name it detection-free HOI recognitio…

cs.DB2021★ 6 cited

A Unified Transferable Model for ML-Enhanced DBMS

Ziniu Wu, Pei Yu, Peilun Yang +6

Recently, the database management system (DBMS) community has witnessed the power of machine learning (ML) solutions for DBMS tasks. Despite their promising performance, these exis…

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