4 | -- | 7 | Min Wu. Signals and Signal Processing: The Invisibles and the Everlastings [From the Editor] |
5 | -- | 7 | Rabab Ward. Signal Processing Is More than Its Beloved Name [President's Message] |
8 | -- | 23 | Yonina C. Eldar, Alfred O. Hero III, Li Deng, Jeffrey A. Fessler, Jelena Kovacevic, H. Vincent Poor, Steve Young. Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum] |
14 | -- | 25 | Andres Kwasinski, Min Wu 0001. What Is the Future of Signal Processing?: Views Across Our Community [Community Voices] |
17 | -- | 20 | John Edwards. Medical Optical Imaging: Signal Processing Leads to New Methods of Detecting Life-Threatening Situations [Special Reports] |
21 | -- | 23 | Chungshui Zhang. Top Downloads in IEEE Xplore [Reader's Choice] |
24 | -- | 25 | Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang. Deep Learning for Visual Understanding [From the Guest Editors] |
26 | -- | 38 | Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath. Deep Reinforcement Learning: A Brief Survey |
39 | -- | 49 | Seunghoon Hong, Suha Kwak, Bohyung Han. Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision |
50 | -- | 62 | Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard. The Robustness of Deep Networks: A Geometrical Perspective |
63 | -- | 75 | Damien Teney, Qi Wu, Anton van den Hengel. Visual Question Answering: A Tutorial |
76 | -- | 84 | Jiwen Lu, Junlin Hu, Jie Zhou. Deep Metric Learning for Visual Understanding: An Overview of Recent Advances |
85 | -- | 95 | Michael T. McCann, Kyong Hwan Jin, Michael Unser. Convolutional Neural Networks for Inverse Problems in Imaging: A Review |
96 | -- | 108 | Dhanesh Ramachandram, Graham W. Taylor. Deep Multimodal Learning: A Survey on Recent Advances and Trends |
109 | -- | 116 | Xiaodong He, Li Deng. Deep Learning for Image-to-Text Generation: A Technical Overview |
117 | -- | 129 | Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan. Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations |
130 | -- | 141 | Jongyoo Kim, Hui Zeng, Deepti Ghadiyaram, Sanghoon Lee, Lei Zhang, Alan C. Bovik. Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment |
142 | -- | 157 | Stefano Fortunati, Fulvio Gini, Maria S. Greco, Christ D. Richmond. Performance Bounds for Parameter Estimation under Misspecified Models: Fundamental Findings and Applications |
158 | -- | 163 | Soo-Chang Pei, Kuo-Wei Chang. The Mystery Curve: A Signal Processing Point of View [Lecture Notes] |
164 | -- | 169 | Vicente Torres, Javier Valls, Richard Lyons. Fast- and Low-Complexity atan2(a, b) Approximation [Tips and Tricks] |
176 | -- | 173 | Xiao-Ping Steven Zhang. To the Victor Go the Spoils: AI in Financial Markets [Perspectives] |