Search Results for author: John Cohn

Found 3 papers, 2 papers with code

CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection

no code implementations • 15 Apr 2022 • Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Seychelle M. Vos, Michael A. Cianfrocco

Single-particle cryo-electron microscopy (cryo-EM) has become one of the mainstream structural biology techniques because of its ability to determine high-resolution structures of dynamic bio-molecules.

reinforcement-learning Reinforcement Learning (RL)

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Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

1 code implementation • CVPR 2021 • Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogerio Feris, John Cohn, Aude Oliva, Quanfu Fan

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.

Action Recognition Temporal Action Localization

238

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MCUNet: Tiny Deep Learning on IoT Devices

1 code implementation • NeurIPS 2020 • Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han

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.

BIG-bench Machine Learning Neural Architecture Search +1

396

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