DLCV-2019: Deep Learning in Computer Vision: Theories and Applications |
Submission link | https://easychair.org/conferences/?conf=dlcv2019 |
Recent advances in learning algorithms for deep architectures have made deep learning feasible and deep learning systems have achieved state-of-the-art performance and sometimes show superior performance on fully supervised learning tasks on several fields. Specifically, deep learning algorithms have brought a revolution to the computer vision community, introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved. Today, utilizing deep learning-based methods in computer vision is a very hot topic. For some tasks such as object recognition and image classification, tremendous progress has been made in applying deep learning techniques. On the other hand, there are some debates as to the reasons for the high success of the deep learning-based methods, and about the limitations of these methods. Besides, several questions are still open and need answers as to how these methods can be tailored to certain computer vision tasks such as videos-related applications and how to scale up the models and training data.
Submission Guidelines
- The optimum length of the manuscript is 20-30 A4 pages
- The publication of the selected chapters will be free of charge
- Submitted manuscripts should conform to the author’s guidelines of the CRC Press (Link).
- Latex is the preferable word processing tool for preparing the chapters (Template, Instructions).
- MS Word is an acceptable word processing tool for preparing the chapters (Template, Instructions).
List of Topics
-
Deep Learning Theories
- Deep Learning Algorithms
- Deep Learning Networks
- Deep Feature Learning
- Deep Metric Learning
- Deep Learning Toolboxes
- Performance Evaluation
- Deep Learning Optimization
-
Deep Learning Applications
- Deep Learning for Object Segmentation and Shape Models
- Deep Learning for Object Detection and Recognition
- Deep Learning for Image Understanding
- Deep Learning for Human Actions Recognition
- Deep Learning for Facial Recognition
- Deep Learning for Visual Tracking
- Deep Learning for Image and Video Retrieval
- Deep Learning for Image Classification
- Deep Learning for Scene Understanding
- Deep Learning for Visual Saliency
- Deep Learning for Visual Understanding
- Deep Learning for Medical Image Recognition
Book Editors
- Dr.: M. Hassaballah,
Department of Computer Science,
Faculty of Computers and Information
South Valley University, Luxor, Egypt
E-mail: m.hassaballah[at]svu.edu.eg
- Dr.: Ali Ismail Awad
- Department of Computer Science, Electrical and Space Engineering
Luleå University of Technology
Luleå, Sweden
E-mail: ali.awad[at]ltu.se
Publication
The tentative schedule of the book publication is as follows:
- Deadline for chapter submission: Feb. 28, 2019
- Author notification: April 01, 2019
- Camera-ready submission: April 15, 2019
- Acceptance notification: April 30, 2019
- Publication date: End of2019
Contact
All questions about submissions should be emailed to the book editors.