Multimodal Scene Understanding
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Published By Elsevier

9780128173589

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00013-5 ◽

2019 ◽

pp. 159-198

Author(s):

Lukas von Stumberg ◽

Vladyslav Usenko ◽

Daniel Cremers

Keyword(s):

Quantitative Evaluation

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Decision Fusion of Remote-Sensing Data for Land Cover Classification

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00017-2 ◽

2019 ◽

pp. 341-382

Author(s):

Arnaud Le Bris ◽

Nesrine Chehata ◽

Walid Ouerghemmi ◽

Cyril Wendl ◽

Tristan Postadjian ◽

...

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Remote Sensing Data ◽

Land Cover Classification ◽

Decision Fusion ◽

Sensing Data

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Cross-modal Learning by Hallucinating Missing Modalities in RGB-D Vision

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00018-4 ◽

2019 ◽

pp. 383-401

Author(s):

Nuno C. Garcia ◽

Pietro Morerio ◽

Vittorio Murino

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Index

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00019-6 ◽

2019 ◽

pp. 403-412

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Multimodal Semantic Segmentation: Fusion of RGB and Depth Data in Convolutional Neural Networks

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00009-3 ◽

2019 ◽

pp. 41-64

Author(s):

Zoltan Koppanyi ◽

Dorota Iwaszczuk ◽

Bing Zha ◽

Can Jozef Saul ◽

Charles K. Toth ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Semantic Segmentation ◽

Depth Data

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Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00004-4 ◽

2019 ◽

pp. v-vi

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Learning Convolutional Neural Networks for Object Detection with Very Little Training Data

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00010-x ◽

2019 ◽

pp. 65-100 ◽

Cited By ~ 1

Author(s):

Christoph Reinders ◽

Hanno Ackermann ◽

Michael Ying Yang ◽

Bodo Rosenhahn

Keyword(s):

Neural Networks ◽

Object Detection ◽

Convolutional Neural Networks ◽

Training Data

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3D Urban Scene Reconstruction and Interpretation from Multisensor Imagery

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00016-0 ◽

2019 ◽

pp. 307-340

Author(s):

Hai Huang ◽

Andreas Kuhn ◽

Mario Michelini ◽

Matthias Schmitz ◽

Helmut Mayer

Keyword(s):

Scene Reconstruction ◽

Urban Scene

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Deep Learning for Multimodal Data Fusion

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00008-1 ◽

2019 ◽

pp. 9-39 ◽

Cited By ~ 2

Author(s):

Asako Kanezaki ◽

Ryohei Kuga ◽

Yusuke Sugano ◽

Yasuyuki Matsushita

Keyword(s):

Deep Learning ◽

Data Fusion ◽

Multimodal Data ◽

Multimodal Data Fusion

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Self-Supervised Learning from Web Data for Multimodal Retrieval

Multimodal Scene Understanding ◽

10.1016/b978-0-12-817358-9.00015-9 ◽

2019 ◽

pp. 279-306 ◽

Cited By ~ 1

Author(s):

Raul Gomez ◽

Lluis Gomez ◽

Jaume Gibert ◽

Dimosthenis Karatzas

Keyword(s):

Supervised Learning ◽

Web Data ◽

Multimodal Retrieval

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Multimodal Scene Understanding
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry

Decision Fusion of Remote-Sensing Data for Land Cover Classification

Cross-modal Learning by Hallucinating Missing Modalities in RGB-D Vision

Index

Multimodal Semantic Segmentation: Fusion of RGB and Depth Data in Convolutional Neural Networks

Contents

Learning Convolutional Neural Networks for Object Detection with Very Little Training Data

3D Urban Scene Reconstruction and Interpretation from Multisensor Imagery

Deep Learning for Multimodal Data Fusion

Self-Supervised Learning from Web Data for Multimodal Retrieval

Export Citation Format

Multimodal Scene UnderstandingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry

Decision Fusion of Remote-Sensing Data for Land Cover Classification

Cross-modal Learning by Hallucinating Missing Modalities in RGB-D Vision

Index

Multimodal Semantic Segmentation: Fusion of RGB and Depth Data in Convolutional Neural Networks

Contents

Learning Convolutional Neural Networks for Object Detection with Very Little Training Data

3D Urban Scene Reconstruction and Interpretation from Multisensor Imagery

Deep Learning for Multimodal Data Fusion

Self-Supervised Learning from Web Data for Multimodal Retrieval

Multimodal Scene Understanding
Latest Publications