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Huaiyi Huang

3 accepted papers

2020

Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation

ECCV 2020poster

The advances over the past several years have pushed the performance of face recognition to an amazing level. This great success, to a large extent, is built on top of millions of annotated samples. However, as we endeavor to take the performance to the next level, the reliance on annotated data bec…

Cited by 28SourcePDFScholar
2020

Learn to Propagate Reliably on Noisy Affinity Graphs

ECCV 2020poster

Recent works have shown that exploiting unlabeled data through label propagation can substantially reduce the labeling cost, which has been a critical issue in developing visual recognition models. Yet, how to propagate labels reliably, especially on a dataset with unknown outliers, remains an open…

Cited by 16SourcePDFScholar
2020

Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations

ECCV 2020poster

Place is an important element in visual understanding. Given a photo of a building, people can often tell its functionality, e.g. a restaurant or a shop, its cultural style, e.g. Asian or European, as well as its economic type, e.g. industry oriented or tourism oriented. While place recognition has…

Cited by 8SourcePDFScholar