CALL FOR PAPERS
18th International Conference on Computer Vision Theory and Applications VISAPP

website: https://visapp.scitevents.org

February 19 - 21, 2023 Lisbon, Portugal



IMPORTANT DATES:

Position Papers/Regular Papers
(Due to current exceptional circumstances, the deadlines below apply to both position papers and regular papers submitted after November 1st)

Regular Paper Submission: December 15, 2022
Authors Notification (regular papers): December 6, 2022
Final Regular Paper Submission and Registration: December 20, 2022


Position Paper Submission: December 15, 2022
Authors Notification (position papers): December 22, 2022
Final Regular Paper Submission and Registration: January 9, 2023

Scope:
The International Conference on Computer Vision Theory and Applications aims at becoming a major point of contact between researchers, engineers and practitioners on the area of computer vision application systems. Five simultaneous tracks will be held, covering all different aspects related to computer vision: Image Formation and Preprocessing; Image and Video Analysis and Understanding; Motion, Tracking and Stereo Vision; and Applications and Services. We welcome papers describing original work in any of the areas listed below. Papers describing advanced prototypes, systems, tools and techniques as well as general survey papers indicating future directions are also encouraged. Paper acceptance will be based on quality, relevance to the conference themes and originality. The conference program will include both oral and poster presentations. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged.

Conference Topics:
Area 1: Image and Video Processing and Analysis
- Image Formation, Acquisition Devices and Sensors
- Device Calibration, Characterization and Modeling
- Image Enhancement and Restoration
- Image and Video Coding and Compression
- Multimodal and Multi-Sensor Models of Image Formation
- Image Registration
- Segmentation and Grouping
- Early and Biologically-Inspired Vision
- Color and Texture Analyses
- Shape Representation and Matching
- Features Extraction
- Visual Attention and Image Saliency

Area 2: Image and Video Understanding
- Deep Learning for Visual Understanding
- Machine Learning Technologies for Vision
- Face and Expression Recognition
- Content-Based Indexing, Search, and Retrieval
- Object and Face Recognition
- Object Detection and Localization
- Categorization and Scene Understanding
- Event and Human Activity Recognition
- Few Shot Learning
- Transfer Learning
- Domain Adaptation
- Multi-task learning
- Self-taught Learning

Area 3: Motion, Tracking and Stereo Vision
- Image-Based Modeling and 3D Reconstruction
- Stereo Vision and Structure from Motion
- Simultaneous Localization and Mapping
- Optical Flow and Motion Analyses
- Tracking and Visual Navigation
- Video Surveillance and Event Detection

Area 4: Mobile and Egocentric Vision for Humans and Robots
- Deep Learning for Tracking
- 3D Deep Learning
- Mobile and Egocentric Object Detection and Recognition
- Mobile and Egocentric Localization
- Egocentric Vision for Interaction Understanding
- Mobile Vision
- Vision for Robotics

Area 5: Applications and Services
- Entertainment Imaging Applications
- Multimedia Forensics
- Assistive Computer Vision
- Mobile Imaging
- Imaging and Vision for Cultural Heritage
- Camera Networks and Vision
- Document Imaging in Business
- Medical Image Applications
- Human and Computer Interaction


VISAPP KEYNOTE LECTURE
Alexandru Telea, Utrecht University, Netherlands

VISAPP CONFERENCE CO-CHAIRS:
Kadi Bouatouch, IRISA, University of Rennes 1, France
Kadi Bouatouch, IRISA, University of Rennes 1, France

VISAPP PROGRAM CO-CHAIRS:
Petia Radeva, Universitat de Barcelona, Spain
Giovanni Maria Farinella, Università di Catania, Italy

PROGRAM COMMITTEE
https://visapp.scitevents.org/ProgramCommittee.aspx

VISAPP Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
Tel: +351 265 520 185
Fax: +351 265 520 186
Web: https://visapp.scitevents.org
e-mail: visapp.secretariat@insticc.org