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08/01/2022
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction
This article presents the first keyword spotting (KWS) IC which uses a r...
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02/26/2022
Utility and Feasibility of a Center Surround Event Camera
Standard dynamic vision sensor (DVS) event cameras output a stream of sp...
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12/02/2021
Bio-inspired Polarization Event Camera
The stomatopod (mantis shrimp) visual system has recently provided a blu...
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08/04/2021
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity
Long Short-Term Memory (LSTM) recurrent networks are frequently used for...
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05/02/2021
Feedback control of event cameras
Dynamic vision sensor event cameras produce a variable data rate stream ...
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12/25/2020
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Low-latency, low-power portable recurrent neural network (RNN) accelerat...
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06/13/2020
V2E: From video frames to realistic DVS event camera streams
To help meet the increasing need for dynamic vision sensor (DVS) event c...
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05/18/2020
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Neuromorphic event cameras are useful for dynamic vision problems under ...
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03/29/2020
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators
The energy consumed by running large deep neural networks (DNNs) on hard...
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03/24/2020
Exploiting Event Cameras by Using a Network Grafting Algorithm
Novel vision sensors such as event cameras provide information that is n...
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02/08/2020
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator
Lower leg prostheses could improve the lives of amputees by increasing c...
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05/17/2019
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
Deep-learning is a cutting edge theory that is being applied to many fie...
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05/06/2019
Closing the Accuracy Gap in an Event-Based Visual Recognition Task
Mobile and embedded applications require neural networks-based pattern r...
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04/17/2019
Event-based Vision: A Survey
Event cameras are bio-inspired sensors that work radically different fro...
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03/18/2019
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
We present the first event-based learning approach for motion segmentati...
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07/02/2018
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Machine vision systems using convolutional neural networks (CNNs) for ro...
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05/10/2018
ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors
Dynamic Vision Sensors (DVS), which output asynchronous log intensity ch...
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11/04/2017
DDD17: End-To-End DAVIS Driving Dataset
Event cameras, such as dynamic vision sensors (DVS), and dynamic and act...
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06/16/2017
Block-Matching Optical Flow for Dynamic Vision Sensor- Algorithm and FPGA Implementation
Rapid and low power computation of optical flow (OF) is potentially usef...
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06/05/2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Convolutional neural networks (CNNs) have become the dominant neural net...
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12/16/2016
Delta Networks for Optimized Recurrent Network Computation
Many neural networks exhibit stability in their activation patterns over...
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10/26/2016
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM
New vision sensors, such as the Dynamic and Active-pixel Vision sensor (...
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08/31/2016
Training Deep Spiking Neural Networks using Backpropagation
Deep spiking neural networks (SNNs) hold great potential for improving t...
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07/12/2016
Event-based, 6-DOF Camera Tracking from Photometric Depth Maps
Event cameras are bio-inspired vision sensors that output pixel-level br...
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06/30/2016
