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Multi-objective Recurrent Neural Networks Optimization for the Edge – a Quantization-based Approach
The compression of deep learning models is of fundamental importance in ...
08/02/2021 ∙ by Nesma M. Rezk, et al. ∙
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AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control
Smart Cities and Communities (SCC) constitute a new paradigm in urban de...
04/07/2021 ∙ by Cristofer Englund, et al. ∙
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FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection
Safe manipulation in unstructured environments for service robots is a c...
11/11/2020 ∙ by Arda Inceoglu, et al. ∙
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SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
In this paper, we introduce SalsaNext for the semantic segmentation of a...
03/07/2020 ∙ by Tiago Cortinhal, et al. ∙
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Deep Neural Network Compression for Image Classification and Object Detection
Neural networks have been notorious for being computationally expensive....
10/07/2019 ∙ by Georgios Tzelepis, et al. ∙
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Exercising with an "Iron Man": Design for a Robot Exercise Coach for Persons with Dementia
Socially assistive robots are increasingly being designed to interact wi...
09/26/2019 ∙ by Martin Cooney, et al. ∙
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SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving
In this paper, we introduce a deep encoder-decoder network, named SalsaN...
09/18/2019 ∙ by Eren Erdal Aksoy, et al. ∙
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Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets
We release two artificial datasets, Simulated Flying Shapes and Simulate...
07/02/2018 ∙ by Fabio Ferreira, et al. ∙
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Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution
We present a novel deep neural network architecture for representing rob...
01/12/2018 ∙ by Jonas Rothfuss, et al. ∙
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Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences
Understanding continuous human actions is a non-trivial but important pr...
10/18/2016 ∙ by Eren Erdal Aksoy, et al. ∙
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Learning the Semantics of Manipulation Action
In this paper we present a formal computational framework for modeling m...
12/04/2015 ∙ by Yezhou Yang, et al. ∙
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