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08/24/2023
Fall Detection using Knowledge Distillation Based Long short-term memory for Offline Embedded and Low Power Devices
This paper presents a cost-effective, low-power approach to unintentiona...
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09/21/2020
DeepActsNet: Spatial and Motion features from Face, Hands, and Body Combined with Convolutional and Graph Networks for Improved Action Recognition
Existing action recognition methods mainly focus on joint and bone infor...
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04/02/2020
SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience
Falling can have fatal consequences for elderly people especially if the...
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09/17/2019
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks
Ensemble models comprising of deep Convolutional Neural Networks (CNN) h...
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08/16/2019
PubLayNet: largest dataset ever for document layout analysis
Recognizing the layout of unstructured digital documents is an important...
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03/08/2019
SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection
Automatic epileptic seizure analysis is important because the differenti...
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02/04/2019
Machine Learning for Seizure Type Classification: Setting the benchmark
Accurate classification of seizure types plays a crucial role in the tre...
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10/01/2018
Densely Supervised Grasp Detector (DSGD)
This paper presents Densely Supervised Grasp Detector (DSGD), a deep lea...
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05/19/2017
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
Deep Neural Networks (DNN) achieve human level performance in many image...
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05/25/2016