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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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12/01/2018
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs
In this work, we provide a new formulation for Graph Convolutional Neura...
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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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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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08/03/2017
Sensor Transformation Attention Networks
Recent work on encoder-decoder models for sequence-to-sequence mapping h...
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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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06/30/2016
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network
This paper describes the application of a Convolutional Neural Network (...
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06/23/2016
Precise deep neural network computation on imprecise low-power analog hardware
There is an urgent need for compact, fast, and power-efficient hardware ...
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06/22/2016