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Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline

Autor: Richter, Ole, Xing, Yannan, De Marchi, Michele, Nielsen, Carsten, Katsimpris, Merkourios, Cattaneo, Roberto, Ren, Yudi, Hu, Yalun, Liu, Qian, Sheik, Sadique, Demirci, Tugba, Qiao, Ning

Publikováno v: IEEE ASYNC 2023

Edge computing solutions that enable the extraction of high-level information from a variety of sensors is in increasingly high demand. This is due to the increasing number of smart devices that require sensory processing for their application on the

Externí odkaz: http://arxiv.org/abs/2304.06793

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Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision

Autor: Büchel, Julian, Lenz, Gregor, Hu, Yalun, Sheik, Sadique, Sorbaro, Martino

Event-based dynamic vision sensors provide very sparse output in the form of spikes, which makes them suitable for low-power applications. Convolutional spiking neural networks model such event-based data and develop their full energy-saving potentia

Externí odkaz: http://arxiv.org/abs/2110.02929

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Akademický článek

Recent advances of polyoxometalate-based materials applied for electron-related devices

Autor: Hu, Yalun, Wang, Yanying, Zhao, Junwei, Chen, Lijuan

Publikováno v: In Coordination Chemistry Reviews 1 May 2024 506

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A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image

Autor: Song, Sifan, Huang, Daiyun, Hu, Yalun, Yang, Chunxiao, Meng, Jia, Ma, Fei, Coenen, Frans, Zhang, Jiaming, Su, Jionglong

In medical imaging, chromosome straightening plays a significant role in the pathological study of chromosomes and in the development of cytogenetic maps. Whereas different approaches exist for the straightening task, typically geometric algorithms a

Externí odkaz: http://arxiv.org/abs/2103.02835

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