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Gabriela Csurka
Researcher at Xerox
Publications - 155
Citations - 12256
Gabriela Csurka is an academic researcher from Xerox. The author has contributed to research in topics: Image retrieval & Visual Word. The author has an hindex of 37, co-authored 145 publications receiving 10959 citations. Previous affiliations of Gabriela Csurka include University of Geneva & Naver Corporation.
Papers
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Proceedings Article
Visual categorization with bags of keypoints
TL;DR: This bag of keypoints method is based on vector quantization of affine invariant descriptors of image patches and shows that it is simple, computationally efficient and intrinsically invariant.
Posted Content
Domain Adaptation for Visual Applications: A Comprehensive Survey
TL;DR: An overview of domain adaptation and transfer learning with a specific view on visual applications and the methods that go beyond image categorization, such as object detection or image segmentation, video analyses or learning visual attributes are overviewed.
Proceedings ArticleDOI
What is a good evaluation measure for semantic segmentation
TL;DR: This work argues that a per-image score instead of one computed over the entire dataset brings a lot more insight, and proposes new ways to evaluate semantic segmentation.
Proceedings ArticleDOI
Assessing the aesthetic quality of photographs using generic image descriptors
TL;DR: It is experimentally shown that the descriptors used, which aggregate statistics computed from low-level local features, implicitly encode the aesthetic properties explicitly used by state-of-the-art methods and outperform them by a significant margin.
Journal ArticleDOI
Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost
TL;DR: Two distance-based classifiers, the k-nearest neighbor (k-NN) and nearest class mean (NCM) classifiers are considered, and a new metric learning approach is introduced for the latter, and an extension of the NCM classifier is introduced to allow for richer class representations.