1st Edition
Deep Learning in Computer Vision Principles and Applications
Chapter 1 Accelerating the CNN Inference on FPGAs
[Kamel Abdelouahab, Maxime Pelcat, and François Berry]
Chapter 2 Object Detection with Convolutional Neural Networks
[Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, and
Guanghui Wang]
Chapter 3 Efficient Convolutional Neural Networks for Fire Detection in
Surveillance Applications
[Khan Muhammad, Salman Khan, and Sung Wook Baik]
Chapter 4 A Multi-biometric Face Recognition System Based on
Multimodal Deep Learning Representations
[Alaa S. Al-Waisy, Shumoos Al-Fahdawi, and Rami Qahwaji]
Chapter 5 Deep LSTM-Based Sequence Learning Approaches for Action
and Activity Recognition
[Amin Ullah, Khan Muhammad, Tanveer Hussain,
Miyoung Lee, and Sung Wook Baik]
Chapter 6 Deep Semantic Segmentation in Autonomous Driving
[Hazem Rashed, Senthil Yogamani, Ahmad El-Sallab,
Mahmoud Hassaballah, and Mohamed ElHelw]
Chapter 7 Aerial Imagery Registration Using Deep Learning for
UAV Geolocalization
[Ahmed Nassar, and Mohamed ElHelw]
Chapter 8 Applications of Deep Learning in Robot Vision
[Javier Ruiz-del-Solar and Patricio Loncomilla]
Chapter 9 Deep Convolutional Neural Networks: Foundations and
Applications in Medical Imaging
[Mahmoud Khaled Abd-Ellah, Ali Ismail Awad,
Ashraf A. M. Khalaf, and Hesham F. A. Hamed]
Chapter 10 Lossless Full-Resolution Deep Learning Convolutional
Networks for Skin Lesion Boundary Segmentation
[Mohammed A. Al-masni, Mugahed A. Al-antari, and Tae-Seong Kim]
Chapter 11 Skin Melanoma Classification Using Deep Convolutional
Neural Networks
[Khalid M. Hosny, Mohamed A. Kassem, and Mohamed M. Foaud]
Biography
Mahmoud Hassaballah received the Doctor of Engineering (D. Eng.) in Computer Science from Ehime University, Japan in 2011. He was a visiting scholar with the Department of Computer & Communication Science, Wakayama University, Japan and GREAH laboratory, Le Havre Normandie University, France. He is currently an Associate Professor of Computer Science at the Faculty of Computers and Information, South Valley University, Egypt. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding.
Ali Ismail Awad is currently an Associate Professor (Docent) with the Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden, where he also serves as a Coordinator of the Master Programme in Information Security. He is a Visiting Researcher with the University of Plymouth, United Kingdom. He is also an Associate Professor with the Electrical Engineering Department, Faculty of Engineering, Al-Azhar University at Qena, Qena, Egypt. His research interests include information security, Internet-of-Things security, image analysis with applications in biometrics and medical imaging, and network security.
