298 citations · 418 across the 13 of their papers we have counts for
13 papers
End-to-End Keyword Spotting on FPGA Using Graph Neural Networks with a Neuromorphic Auditory Sensor
Wiktor Matykiewicz, Piotr Wzorek, Kamil Jeziorek +4
With the rapid growth of mobile robotics and embedded intelligence, there is an increasing demand for efficient on-device data processing on edge platforms. A promising research di…
Within-Camera Multilayer Perceptron DVS Denoising
A. Rios-Navarro, S. Guo, G Abarajithan +5
In-camera event denoising reduces the data rate of event cameras by filtering out noise at the source. A lightweight multilayer perceptron denoising filter (MLPF) provides state-of…
LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading
Antonio Rios-Navarro, Enrique Piñero-Fuentes, Salvador Canas-Moreno +3
This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of Address-Event-Representation sensors and tools. The target…
An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic Robotic Controllers
Enrique Pinero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro +3
In this work, an all-in-one neuromorphic controller system with reduced latency and power consumption for a robotic arm is presented. Biological muscle movement consists of stretch…
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm
A. Linares-Barranco, E. Pinero-Fuentes, S. Canas-Moreno +6
Biological nervous systems typically perform the control of numerous degrees of freedom for example in animal limbs. Neuromorphic engineers study these systems by emulating them in…
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
Lourdes Duran-Lopez, Juan P. Dominguez-Morales, Daniel Gutierrez-Galan +4
Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with almost 1.41 million new cases and around 375,000 deaths in…
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Chang Gao, Antonio Rios-Navarro, Xi Chen +2
Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for real-time applications such as IoT, robotics, and human-machin…
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
Chang Gao, Antonio Rios-Navarro, Xi Chen +2
This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called EdgeDRNN designed for portable edge computing. EdgeDRNN adopts the spiking…
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
Alejandro Linares-Barranco, Antonio Rios-Navarro, Ricardo Tapiador-Morales +1
Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural Networks (CNN) are demanding significant accuracy for…
Interfacing PDM MEMS microphones with PFM spiking systems: Application for Neuromorphic Auditory Sensors
Angel Jimenez-Fernandez, Daniel Gutierrez-Galan, Antonio Rios-Navarro +2
In neuromorphic engineering, computation is commonly performed asynchronously, mimicking the way in which nervous systems process information: spike by spike. The Neuromorphic Audi…
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator
A. Rios-Navarro, R. Tapiador-Morales, A. Jimenez-Fernandez +3
Many FPGAs vendors have recently included embedded processors in their devices, like Xilinx with ARM-Cortex A cores, together with programmable logic cells. These devices are known…
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar, Hesham Mostafa, Enrico Calabrese +8
Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks. Even though Graphical Pro…
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
R. Tapiador, A. Rios-Navarro, A. Linares-Barranco +3
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convol…