Search Results for author: Lezi Wang

Found 6 papers, 3 papers with code

Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention

no code implementations ECCV 2020 Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas

We introduce a novel ranking network that utilizes the Co-Attention between movies and trailers as guidance to generate the training pairs, where the moments highly corrected with trailers are expected to be scored higher than the uncorrelated moments.

Learning Trailer Moments in Full-Length Movies

no code implementations19 Aug 2020 Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas

A movie's key moments stand out of the screenplay to grab an audience's attention and make movie browsing efficient.

Unsupervised Domain Adaptation via Calibrating Uncertainties

1 code implementation25 Jul 2019 Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris Metaxas

Unsupervised domain adaptation (UDA) aims at inferring class labels for unlabeled target domain given a related labeled source dataset.

Unsupervised Domain Adaptation

Sharpen Focus: Learning with Attention Separability and Consistency

1 code implementation ICCV 2019 Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas

Recent developments in gradient-based attention modeling have seen attention maps emerge as a powerful tool for interpreting convolutional neural networks.

General Classification Image Classification

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