[visionlist] Call for papers IMPROVE 2021

Francisco Imai fimai at apple.com
Thu Jan 14 03:10:46 -04 2021

The International Conference on Image Processing and Vision Engineering (IMPROVE) 2021 will be virtual from 28-30 April 2021.

The deadline for paper submission is January 26th.

More information at www.improve.scitevents.org <http://improve.scitevents.org/>
IMPROVE is a comprehensive conference of academic and technical nature, focused on image processing and computer vision practical applications. It brings together researchers, engineers and practitioners working either in fundamental areas of image processing, developing new methods and techniques, including innovative machine learning approaches, as well as multimedia communications technology and applications of image processing and artificial vision in diverse areas. 

The conference accepts, after a strict peer review process, papers describing original work in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of IMPROVE with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies as well as technical tutorials, focusing on particular technical/scientific topics, are also envisaged. All those interested in presenting product demonstrations or methodologies are invited to contact the conference secretariat. 


Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 



Image Formation and Sensors
Perception Engineering
High-speed Computer Vision
Image Fusion
Digital Image Enhancement
Image Restoration
Image Analysis and Scene Understanding
Image Retrieval
Motion, Tracking and 3D Vision
Video Understanding

Digital Filtering
Computer Vision Algorithms
Spatial Domain Techniques
Frequency Domain Techniques
Algebraic Methods
Image Segmentation
Motion Detection
Quality Enhancement
Simulation and Software Tools

Deep Learning and Neural Networks
Adversarial Learning and GANs
Backdoor Definition and Detection
Autoencoders and Representation Learning
Bayesian Deep Learning
Data Mining
Pattern Recognition
Classification and Clustering
Texture Analysis and Classification
Face Recognition
Action Recognition
Model Optimization

Image Compression and Multimedia Coding
Multimedia over Networks
Multimedia System Design
Social Media Analysis
Wearable Multimedia
Interactive Visual Systems
Video Indexing and Annotation
Video and Image Security
Intrusion Detection
Watermarking and Steganography 

Digital Imaging and Rendering
Optical Imaging
Medical Imaging
Magnetic Resonance Imaging
Functional Imaging
Radar Imaging
Hyperspectral Imaging

Remote Sensing
Weather and Climate Modeling
Traffic Control and Autonomous Vehicles
Video Surveillance and Event Detection
Crowds Analysis
Image Forensics and Security
Robotic Vision Engineering
Virtual and Augmented Reality Applications
Industrial Quality Control
Military Applications

Matthias Niessner,  <http://improve.scitevents.org/KeynoteSpeakers.aspx#1>Technical University of Munich, Germany
Luisa Verdoliva,  <http://improve.scitevents.org/KeynoteSpeakers.aspx#2>University of Naples Federico II, Italy

Authors can submit their work in the form of a complete paper or an abstract. Complete papers can be submitted as a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. 

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity. 

When submitting a complete paper please note that only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism <http://improve.scitevents.org/NormsPlagiarism.aspx> thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews. 

All papers must be submitted through the online submission platform  PRIMORIS <http://www.insticc.org/primoris> and should follow the instructions and templates that can be found under Guidelines and Templates <http://improve.scitevents.org/Guidelines.aspx>. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail. 

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