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Tanmay Batra

2 accepted papers

2019

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

CVPR 2019poster

In this work, we connect two distinct concepts for unsupervised domain adaptation: feature distribution alignment between domains by utilizing the task-specific decision boundary and the Wasserstein metric. Our proposed sliced Wasserstein discrepancy (SWD) is designed to capture the natural notion o…

Cited by 743PDFScholar
2015

Learning Common Sense Through Visual Abstraction

ICCV 2015poster

Common sense is essential for building intelligent machines. While some commonsense knowledge is explicitly stated in human-generated text and can be learnt by mining the web, much of it is unwritten. It is often unnecessary and even unnatural to write about commonsense facts. While unwritten, this…

Cited by 115PDFScholar