[PDF] Top 20 Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks
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Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks
... Approaches based on deep learning: Recurrent Neural Networks with Long Short-Term Memory Network (RNN-LSTMs) [ 42 , 43 ] are able to model the contextual information of the ... Voir le document complet
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Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking
... representations to jointly embed descrip- tors in a new multimedia representation for the task of video ...methods to ob- tain good and meaningful ...methods to obtain ... Voir le document complet
9
2020 — Modeling information flow through deep convolutional neural networks
... optimizing deep convolutional neural networks (CNN) by 1) reducing the computational complexity and 2) improving classification performance for the task of transfer ...learning. ... Voir le document complet
180
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
... Introduction Human Action Recognition or HAR for short, plays a crucial role in many computer vision applications such as intelligent surveillance, human-computer interaction or ...still ... Voir le document complet
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Exploiting deep residual networks for human action recognition from skeletal data
... approaches based on Convolutional Neural Networks (CNNs) have achieved outstanding results in many image recognition tasks ( Karpathy et ...), a new direction of research has ... Voir le document complet
17
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
... Introduction Human Action Recognition or HAR for short, plays a crucial role in many computer vision applications such as intelligent surveillance, human-computer interaction or ...still ... Voir le document complet
16
Deep convolutional neural networks to monitor coralligenous reefs: Operationalizing biodiversity and ecological assessment
... crucial to the conservation process, as it enables the implementation of efficient conservation ...possible to automate species identification, given the availability of very large image databases and ... Voir le document complet
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SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
... is a modified ver- sion of the CNN proposed by Li et ...signed a small convolutional neural network which consists of three convolution layers and four fully-connected (FC) ...it to ... Voir le document complet
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Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks
... Introduction Human action recognition in video is an important research area in computer ...is a challenging task due to many factors such as occlusions, viewpoint, lighting and so ...actions ... Voir le document complet
7
Robust detection of astronomical sources using convolutional neural networks
... Laboratory. Based on data collected at the Subaru Telescope and retrieved from the HSC data archive system, which is operated by Subaru Telescope and Astronomy Data Center at National Astronomical ... Voir le document complet
229
Image and video text recognition using convolutional neural networks
... 3. CONVOLUTIONAL NEURAL NETWORKS 44 topology of six ...connected to the input layer. It is similar to a convolutional layer, except that it has no training ...responses ... Voir le document complet
178
HIF3D: Handwriting-Inspired Features for 3D Skeleton-Based Action Recognition
... recognition based on human skeleton struc- ture represents nowadays a prosper research ...due to the recent advances in terms of capture technologies and skeleton extraction ... Voir le document complet
7
Robust parallel-gripper grasp getection using convolutional neural networks
... cropping a patch of the image around this location. To find the grasp angle, the author proposed to have 18 outputs, separating the angle prediction into 18 discrete angles by 10 ◦ ...that to ... Voir le document complet
84
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
... Such a choice would however require the network to produce feature maps with large value ranges which com- plicates ...order to circumvent this problem, we adopt the approach proposed by [13] and ... Voir le document complet
11
Reconstructing faces from fMRI patterns using deep generative neural networks
... with a 6 s blank ...runs a different group of 10 test faces was presented ...stimulus, a fixation cross was presented on the screen. The face images presented to the subjects in the scanner had ... Voir le document complet
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Bidirectional Joint Representation Learning with Symmetrical Deep Neural Networks for Multimodal and Crossmodal Applications
... create a joint representation of the initially disjoint modalities or otherwise merge the initial modalities without necessarily providing a bidi- rectional mapping of the initial ... Voir le document complet
5
Space-time Pose Representation for 3D Human Action Recognition
... the skeleton in each frame of the sequence and use them to compute a corresponding ...trajectory. To compare the shape of the trajecto- ries, we compute a distance between the projected ... Voir le document complet
11
A Geometrically Based Approach to 3D Skeleton Curve Blending
... Unite´ de recherche Inria Lorraine, Technopoˆle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 Villers Le`s Nancy Unite´ de recherche Inria Rennes, Iri[r] ... Voir le document complet
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Automated atrial fibrillation source detection using shallow convolutional neural networks
... ings from 58 persistent patients, each one with duration of approximately 1 ...belong to a database provided by the Cardiology Department of Princess Grace Hospital Center, ...at a 977 Hz ... Voir le document complet
5
Convolutional neural networks for disaggregated population mapping using open data
... information to carry out disaggregated population estimates at a fine resolution ...inferred from satellite imagery using remote sensing ...for a same land-cover, either a ... Voir le document complet
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