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researcher

Maxime Oquab

9 papers hereh-index 82k citations13 works total

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

author position
  • middle author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedVision Transformers Need Registers

54 citations · 94 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024★ 5 cited

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Huy V. Vo, Vasil Khalidov, Timothée Darcet +10

Self-supervised features are the cornerstone of modern machine learning systems. They are typically pre-trained on data collections whose construction and curation typically requir…

cs.LG2024

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning

Théo Moutakanni, Maxime Oquab, Marc Szafraniec +2

Self-Supervised learning (SSL) with Joint-Embedding Architectures (JEA) has led to outstanding performances. All instantiations of this paradigm were trained using strong and well-…

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