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Keyu Tian

SenseTime

4 papers hereh-index 4238 citations9 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV2
  • cs.LG1
  • cs.SD1
affiliations
  • SenseTime
  • Beihang University
Homepage
same name
  • Keyu Tian — 2 papers, h 2
  • Keyu Tian — 1 paper, h 1
  • Keyu Tian — 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
20202023
most citedDesigning BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

37 citations · 74 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 37 cited

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Keyu Tian, Yi Jiang, Qishuai Diao +3

We identify and overcome two key obstacles in extending the success of BERT-style pre-training, or the masked image modeling, to convolutional networks (convnets): (i) convolution…

cs.SD2021★ 1 cited

Unsupervised heart abnormality detection based on phonocardiogram analysis with Beta Variational Auto-Encoders

Shengchen Li, Ke Tian, Rui Wang

Heart Sound (also known as phonocardiogram (PCG)) analysis is a popular way that detects cardiovascular diseases (CVDs). Most PCG analysis uses supervised way, which demands both n…

cs.LG2020★ 29 cited

Improving Auto-Augment via Augmentation-Wise Weight Sharing

Keyu Tian, Chen Lin, Ming Sun +3

The recent progress on automatically searching augmentation policies has boosted the performance substantially for various tasks. A key component of automatic augmentation search i…

cs.CV2020★ 7 cited

Powering One-shot Topological NAS with Stabilized Share-parameter Proxy

Ronghao Guo, Chen Lin, Chuming Li +4

One-shot NAS method has attracted much interest from the research community due to its remarkable training efficiency and capacity to discover high performance models. However, the…

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