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Browsing Arquitectura y Tecnología de Computadores by Author "Camuñas Mesa, Luis Alejandro"
Now showing items 1-12 of 12
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Article
A 32 x 32 Pixel Convolution Processor Chip for Address Event Vision Sensors With 155 ns Event Latency and 20 Meps Throughput
Camuñas Mesa, Luis Alejandro; Acosta Jiménez, Antonio José; Zamarreño Ramos, Carlos; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2011)This paper describes a convolution chip for event-driven vision sensing and processing systems. As opposed to conventional ...
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Article
An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors
Camuñas Mesa, Luis Alejandro; Zamarreño Ramos, Carlos; Linares Barranco, Alejandro; Acosta Jiménez, Antonio José; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2012)Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) ...
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Presentation
Event-Driven Configurable Module with Refractory Mechanism for ConvNets on FPGA
Camuñas Mesa, Luis Alejandro; Domínguez Cordero, Yaisel L.; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2018)We have developed a fully configurable event-driven convolutional module with refractory period mechanism that can be ...
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Presentation
Event-driven stereo vision with orientation filters
Camuñas Mesa, Luis Alejandro; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé; Ieng, Sio-Hoi; Benosman, Ryad B. (IEEE Computer Society, 2014)The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asynchronously and code it into ...
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Article
Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion
Camuñas Mesa, Luis Alejandro; Serrano Gotarredona, María Teresa; Ieng, Sio-Hoi; Benosman, Ryad B. (IEEE Computer Society, 2018)Object tracking is a major problem for many computer vision applications, but it continues to be computationally expensive. ...
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Presentation
Experimental Body-input Three-stage DC offset Calibration Scheme for Memristive Crossbar
Mohan, Charanraj; Camuñas Mesa, Luis Alejandro; Vianello, Elisa; Reita, Carlo; Rosa Utrera, José Manuel de la; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE, 2020)Reading several ReRAMs simultaneously in a neuromorphic circuit increases power consumption and limits scalability. Applying ...
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Presentation
Fully Digital AER Convolution Chip for Vision Processing
Camuñas Mesa, Luis Alejandro; Acosta Jiménez, Antonio José; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2008)We present a neuromorphic fully digital convolution microchip for Address Event Representation (AER) spike-based processing ...
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Presentation
Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices
Mohan, Charanraj; Camuñas Mesa, Luis Alejandro; Rosa Utrera, José Manuel de la; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE, 2021-04)The emergence of nano-scale memristive devices encouraged many different research areas to exploit their use in multiple ...
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Presentation
Neocortical frame-free vision sensing and processing through scalable Spiking ConvNet hardware
Camuñas Mesa, Luis Alejandro; Pérez Carrasco, José Antonio; Zamarreño Ramos, Carlos; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2010)This paper summarizes how Convolutional Neural Networks (ConvNets) can be implemented in hardware using Spiking neural ...
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Article
Neuromorphic Low-Power Inference on Memristive Crossbars With On-Chip Offset Calibration
Mohan, Charanraj; Camuñas Mesa, Luis Alejandro; Rosa, José M. de la; Vianello, Elisa; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE, 2021-03)Monolithic integration of silicon with nano-sized Redox-based resistive Random-Access Memory (ReRAM) devices opened the ...
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Article
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
Camuñas Mesa, Luis Alejandro; Linares Barranco, Bernabé; Serrano Gotarredona, María Teresa (MDPI, 2019)Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of ...
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Presentation
On scalable spiking convnet hardware for cortex-like visual sensory processing systems
Camuñas Mesa, Luis Alejandro; Pérez Carrasco, José Antonio; Zamarreño Ramos, Carlos; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2010)This paper summarizes how Convolutional Neural Networks (ConvNets) can be implemented in hardware using Spiking neural ...