Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?

Lecture Notes in Computer Science - Computer Vision – ECCV 2018 Workshops ◽

10.1007/978-3-030-11009-3_18 ◽

2019 ◽

pp. 307-323 ◽

Author(s):

Marcela Carvalho ◽

Bertrand Le Saux ◽

Pauline Trouvé-Peloux ◽

Andrés Almansa ◽

Frédéric Champagnat

Keyword(s):

Neural Networks ◽

Defocus Blur ◽

Depth From Defocus ◽

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Back Cover: Saturated two-photon excitation fluorescence microscopy for the visualization of cerebral neural networks at millimeters deep depth (J. Biophotonics 1/2019)

Journal of Biophotonics ◽

10.1002/jbio.201870179 ◽

2019 ◽

Vol 12 (1) ◽

pp. e201870179

Keyword(s):

Neural Networks ◽

Fluorescence Microscopy ◽

Photon Excitation ◽

Two Photon Excitation

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Saturated two-photon excitation fluorescence microscopy for the visualization of cerebral neural networks at millimeters deep depth

Journal of Biophotonics ◽

10.1002/jbio.201800136 ◽

2018 ◽

Vol 12 (1) ◽

pp. e201800136

Author(s):

Sandeep Chakraborty ◽

Szu-Yu Lee ◽

Jye-Chang Lee ◽

Chen-Tung Yen ◽

Chi-Kuang Sun

Keyword(s):

Neural Networks ◽

Fluorescence Microscopy ◽

Photon Excitation ◽

Two Photon Excitation

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Depth-from-defocus: blur equalization technique

10.1117/12.688615 ◽

2006 ◽

Author(s):

Tao Xian ◽

Murali Subbarao

Keyword(s):

Defocus Blur ◽

Depth From Defocus ◽

Equalization Technique

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Reconstruction of 3-Dimensional Scenes Using Depth from Defocus and Artificial Neural Networks Trained on Fractals

Advances in Intelligent Systems and Computing - Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) ◽

10.1007/978-3-319-60618-7_13 ◽

2017 ◽

pp. 121-129

Author(s):

Kevin Joseph ◽

Alex Noel Joseph Raj

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

3 Dimensional ◽

Depth From Defocus ◽

Artificial Neural

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Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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Review of Pattern Recognition by Self-Organizing Neural Networks.

Contemporary Psychology ◽

10.1037/004153 ◽

1995 ◽

Vol 40 (11) ◽

pp. 1110-1110

Author(s):

Stephen James Thomas

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Self Organizing

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Supplemental Material for Neural Networks Learn Highly Selective Representations in Order to Overcome the Superposition Catastrophe

Psychological Review ◽

10.1037/a0035943.supp ◽

2014 ◽

Keyword(s):

Neural Networks

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Temporal processing with neural networks

PsycEXTRA Dataset ◽

10.1037/e443612005-001 ◽

1998 ◽

Author(s):

Jeffrey L. Elman

Keyword(s):

Neural Networks ◽

Temporal Processing

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Recording and Analysis of Biological Neural Networks

PsycEXTRA Dataset ◽

10.1037/e443872005-001 ◽

1998 ◽

Author(s):

Howard Eichenbaum ◽

Keyword(s):

Neural Networks ◽

Biological Neural Networks

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Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

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