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Yanbiao Ma

7 papers hereh-index 10322 citations18 works total

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

author position
  • first author5
  • middle author1

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG1
same name
  • Yanbiao Ma — 15 papers, h 4
  • Yanbiao Ma — 3 papers
  • Yanbiao Ma — 2 papers
  • Yanbiao Ma — 1 paper, h 1

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
20222024
most citedSoccerNet 2023 Challenges Results

28 citations · 38 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Data-Centric Long-Tailed Image Recognition

Yanbiao Ma, Licheng Jiao, Fang Liu +3

In the context of the long-tail scenario, models exhibit a strong demand for high-quality data. Data-centric approaches aim to enhance both the quantity and quality of data to impr…

cs.LG2023★ 1 cited

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning

Yanbiao Ma, Licheng Jiao, Fang Liu +3

In scenarios with long-tailed distributions, the model's ability to identify tail classes is limited due to the under-representation of tail samples. Class rebalancing, information…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.CV2023★ 3 cited

Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds

Yanbiao Ma, Licheng Jiao, Fang Liu +6

To address the challenges of long-tailed classification, researchers have proposed several approaches to reduce model bias, most of which assume that classes with few samples are w…

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