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Hemanth Venkateswara

2 accepted papers

2020

Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

ECCV 2020poster

Zero-shot learning (ZSL) addresses the unseen class recognition problem by leveraging semantic information to transfer knowledge from seen classes to unseen classes. Generative models synthesize the unseen visual features and convert ZSL into a classical supervised learning problem. These generative…

2017

Deep Hashing Network for Unsupervised Domain Adaptation

CVPR 2017spotlight

In recent years, deep neural networks have emerged as a dominant machine learning tool for a wide variety of application domains. However, training a deep neural network requires a large amount of labeled data, which is an expensive process in terms of time, labor and human expertise. Domain adaptat…

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