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Phongtharin Vinayavekhin

2 accepted papers

2021

Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization

ICASSP 2021accepted

Deep neural networks have recently led to promising results for the task of multiple sound source localization. Yet, they require a lot of training data to cover a variety of acoustic conditions and micro-phone array layouts. One can leverage acoustic simulators to inexpensively generate labeled tra…

Cited by 0Source ↗Scholar ↗
2019

Unifying Heterogeneous Classifiers With Distillation

CVPR 2019poster

In this paper, we study the problem of unifying knowledge from a set of classifiers with different architectures and target classes into a single classifier, given only a generic set of unlabelled data. We call this problem Unifying Heterogeneous Classifiers (UHC). This problem is motivated by scena…

Cited by 75PDF ↗Scholar ↗