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Sean Culatana

2 accepted papers

2023

EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding

ICCV 2023poster

Object understanding in egocentric visual data is arguably a fundamental research topic in egocentric vision. However, existing object datasets are either non-egocentric or have limitations in object categories, visual content, and annotation granularities. In this work, we introduce EgoObjects, a l…

Cited by 26PDFcodeScholar
2022

Similarity Search for Efficient Active Learning and Search of Rare Concepts

AAAI 2022technical

Many active learning and search approaches are intractable for large-scale industrial settings with billions of unlabeled examples. Existing approaches search globally for the optimal examples to label, scaling linearly or even quadratically with the unlabeled data. In this paper, we improve the com…

Cited by 41SourcePDFScholar