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Trevor Darrell

4 papers here

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

author position
  • last author4

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

fields
  • cs.LG3
  • cs.CV1
ORCID 0000-0001-5453-8533

identity via Semantic Scholar / OpenAlex

most citedMulti-View Learning in the Presence of View Disagreement

98 citations · 144 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2013★ 11 cited

Pooling-Invariant Image Feature Learning

Yangqing Jia, Oriol Vinyals, Trevor Darrell

Unsupervised dictionary learning has been a key component in state-of-the-art computer vision recognition architectures. While highly effective methods exist for patch-based dictio…

cs.LG2013★ 1 cited

Why Size Matters: Feature Coding as Nystrom Sampling

Oriol Vinyals, Yangqing Jia, Trevor Darrell

Recently, the computer vision and machine learning community has been in favor of feature extraction pipelines that rely on a coding step followed by a linear classifier, due to th…

cs.LG2012★ 34 cited

Factorized Multi-Modal Topic Model

Seppo Virtanen, Yangqing Jia, Arto Klami +1

Multi-modal data collections, such as corpora of paired images and text snippets, require analysis methods beyond single-view component and topic models. For continuous observation…

cs.LG2012★ 98 cited

Multi-View Learning in the Presence of View Disagreement

C. Christoudias, Raquel Urtasun, Trevor Darrell

Traditional multi-view learning approaches suffer in the presence of view disagreement,i.e., when samples in each view do not belong to the same class due to view corruption, occlu…

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