Explore Convolutional Neural Networks in Virtual Reality

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) ◽

10.1109/aivr46125.2019.00056 ◽

2019 ◽

Author(s):

Nadine Meissler ◽

Annika Wohlan ◽

Nico Hochgeschwender ◽

Andreas Schreiber

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Convolutional Neural Networks

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An EEG Emotion Classification System Based on One-Dimension Convolutional Neural Networks and Virtual Reality

Innovative Mobile and Internet Services in Ubiquitous Computing - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-50399-4_19 ◽

2020 ◽

pp. 194-202

Author(s):

Xinbei Jiang ◽

Tianhan Gao

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Convolutional Neural Networks ◽

Classification System ◽

One Dimension ◽

Emotion Classification

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Restoration of lighting sources for virtual reality systems using convolutional neural networks, computer vision algorithms, and disparity maps

Optoelectronic Imaging and Multimedia Technology VII ◽

10.1117/12.2575396 ◽

2020 ◽

Author(s):

Maxim Sorokin ◽

Dmitry Zhdanov ◽

Andrey Zhdanov

Keyword(s):

Neural Networks ◽

Computer Vision ◽

Virtual Reality ◽

Convolutional Neural Networks ◽

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Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks

2019 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2019.8803023 ◽

2019 ◽

Author(s):

Pei Wu ◽

Wenxin Ding ◽

Zhixiang You ◽

Ping An

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Video Quality ◽

Video Quality Assessment

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Facial expressions recognition based on convolutional neural networks for mobile virtual reality

Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry - VRCAI '16 ◽

10.1145/3013971.3014025 ◽

2016 ◽

Author(s):

Teng Teng ◽

Xubo Yang

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Facial Expressions ◽

Convolutional Neural Networks ◽

Facial Expressions Recognition

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Small Parts Recognition by Convolutional Neural Networks with Implementation to Virtual Reality Devices for Assisted Assembly Tasks

5th EAI International Conference on Management of Manufacturing Systems - EAI/Springer Innovations in Communication and Computing ◽

10.1007/978-3-030-67241-6_15 ◽

2021 ◽

pp. 185-196

Author(s):

Kamil Židek ◽

Ján Piteľ ◽

Ivan Pavlenko ◽

Peter Lazorík ◽

Alexander Hošovský

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Convolutional Neural Networks ◽

Small Parts ◽

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Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring

2019 IEEE Intelligent Transportation Systems Conference (ITSC) ◽

10.1109/itsc.2019.8917061 ◽

2019 ◽

Author(s):

Wenqiang Liu ◽

Zhigang Liu ◽

Alfredo Nunez

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Convolutional Neural Networks

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Using Visualization of Convolutional Neural Networks in Virtual Reality for Machine Learning Newcomers

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) ◽

10.1109/aivr46125.2019.00031 ◽

2019 ◽

Author(s):

Nadine Meissler ◽

Annika Wohlan ◽

Nico Hochgeschwender ◽

Andreas Schreiber

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Virtual Reality ◽

Convolutional Neural Networks

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Visualizing Convolutional Neural Networks with Virtual Reality

25th ACM Symposium on Virtual Reality Software and Technology ◽

10.1145/3359996.3364817 ◽

2019 ◽

Author(s):

Annika Wohlan ◽

Nico Hochgeschwender ◽

Nadine Meissler

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Convolutional Neural Networks

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3D Panoramic Virtual Reality Video Quality Assessment Based on 3D Convolutional Neural Networks

IEEE Access ◽

10.1109/access.2018.2854922 ◽

2018 ◽

Vol 6 ◽

pp. 38669-38682 ◽

Author(s):

Jiachen Yang ◽

Tianlin Liu ◽

Bin Jiang ◽

Houbing Song ◽

Wen Lu

Keyword(s):

Neural Networks ◽

Virtual Reality ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Video Quality ◽

Video Quality Assessment

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Evaluation von Bildparametern und eines convolutional neural networks in der FDG-PET/MR/CT zur Prädiktion des Gesamtüberlebens (OS) und des Therapieansprechens bei Patienten mit Melanom unter CIT.

10.1055/s-0040-1703340 ◽

2020 ◽

Author(s):

F Seith ◽

J Vogel ◽

C la Fougère ◽

T Küstner ◽

K Nikolaou ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

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