Content Gazette - January 2018 - 30

Contents

Volume 34 | Number 6 | November 2017

SPECIAL SECTION

109

Xiaodong He and Li Deng

DEEP LEARNING FOR
VISUAL UNDERSTANDING: PART 1
24

39

WEAKLY SUPERVISED LEARNING
WITH DEEP CONVOLUTIONAL
NEURAL NETWORKS FOR
SEMANTIC SEGMENTATION

Kai Arulkumaran,
Marc Peter Deisenroth,
Miles Brundage, and
Anil Anthony Bharath

Seunghoon Hong, Suha Kwak,
and Bohyung Han

THE ROBUSTNESS
OF DEEP NETWORKS

130

ON THE COVER

63

VISUAL QUESTION ANSWERING

76

DEEP METRIC LEARNING
FOR VISUAL UNDERSTANDING

85
©ISTOCKPHOTO.COM/MIAKIEVY

FEATURE

This special issue of IEEE Signal Processing Magazine
provides survey articles on the latest advances in deep
learning for visual understanding. Its objective is to encourage a diverse audience of researchers and enthusiasts
toward an effective participation in the solution of analogous
problems in other signal processing fields by inseminating
similar ideas.

142

CONVOLUTIONAL NEURAL
NETWORKS FOR INVERSE
PROBLEMS IN IMAGING

Michael T. McCann,
Kyong Hwan Jin, and Michael Unser

96

DEEP MULTIMODAL LEARNING
Dhanesh Ramachandram
and Graham W. Taylor

PERFORMANCE BOUNDS
FOR PARAMETER ESTIMATION
UNDER MISSPECIFIED MODELS
Stefano Fortunati, Fulvio Gini,
Maria S. Greco, and
Christ D. Richmond

Damien Teney, Qi Wu,
and Anton van den Hengel

Jiwen Lu, Junlin Hu, and Jie Zhou

PG. 142

DEEP CONVOLUTIONAL
NEURAL MODELS FOR
PICTURE-QUALITY PREDICTION

Jongyoo Kim, Hui Zeng,
Deepti Ghadiyaram, Sanghoon Lee,
Lei Zhang, and Alan C. Bovik

COVER IMAGE: ©ISTOCKPHOTO.COM/MONSITJ

Alhussein Fawzi,
Seyed-Mohsen Moosavi-Dezfooli,
and Pascal Frossard

DEEP-LEARNING SYSTEMS
FOR DOMAIN ADAPTATION
IN COMPUTER VISION
Hemanth Venkateswara,
Shayok Chakraborty, and
Sethuraman Panchanathan

Fatih Porikli, Shiguang Shan,
Cees Snoek, Rahul Sukthankar,
and Xiaogang Wang

DEEP REINFORCEMENT LEARNING

50

117

FROM THE GUEST EDITORS

26

DEEP LEARNING FOR
IMAGE-TO-TEXT GENERATION

4

2

2

1

0

0

-2

-1

-4
-4

-2

0
(a)

2

4

-2
-2

-1

0
(b)

1

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PG. 158

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Printed in the U.S.A.

Digital Object Identifier 10.1109/MSP.2017.2750304

IEEE SIGNAL PROCESSING MAGAZINE
| November 2017
www.signalprocessingsociety.org
[30] JANUARY
2018|

1


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