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Kandan Ramakrishnan

2 accepted papers

2021

Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition

CVPR 2021poster

In recent years, a number of approaches based on 2D or 3D convolutional neural networks (CNN) have emerged for video action recognition, achieving state-of-the-art results on several large-scale benchmark datasets. In this paper, we carry out in-depth comparative analysis to better understand the di…

Cited by 139PDFcodeScholar
2021

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search

AAAI 2021technical

Neural Architecture Search (NAS) is an open and challenging problem in machine learning. While NAS offers great promise, the prohibitive computational demand of most of the existing NAS methods makes it difficult to directly search the architectures on large-scale tasks. The typical way of conductin…

Cited by 13SourcePDFScholar