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