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john cohn

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
2020

MCUNet: Tiny Deep Learning on IoT Devices

NeurIPS 2020spotlight

Machine learning on tiny IoT devices based on microcontroller units (MCU) is appealing but challenging: the memory of microcontrollers is 2-3 orders of magnitude smaller even than mobile phones. We propose MCUNet, a framework that jointly designs the efficient neural architecture (TinyNAS) and the l…

Cited by 670SourcePDFScholar