CALL FOR PAPERS
19th International Conference on Computer Vision Theory and Applications VISAPP

website: https://visapp.scitevents.org

February 27 - 29, 2024 Rome, Italy



IMPORTANT DATES:

Position/Regular Paper Submission Extension: November 22, 2023
Authors Notification (regular papers): December 5, 2023
Final Regular Paper Submission and Registration: December 19, 2023

Authors Notification (position papers): December 22, 2023
Final Regular Paper Submission and Registration: January 8, 2024

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 methodology and systems, and their application. Five simultaneous tracks will be held, covering all different aspects related to computer vision: Image and Video Processing and Analysis; Image and Video Understanding; Motion, Tracking and Stereo Vision; Mobile and Egocentric Vision for Humans and Robots; 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
- 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
- Self-supervised Learning
- Generative AI

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
- Medical Image Applications
- Human and Computer Interaction


VISAPP KEYNOTE LECTURE
Fahad Khan, Linköping University, Sweden
Stefanie Posavec, Independent Work, United Kingdom
Mel Slater, University of Barcelona, Spain
Gerhard Rigoll, Technical University of Munich, Germany


VISAPP CONFERENCE CO-CHAIRS:
Kadi Bouatouch, IRISA, University of Rennes 1, France
A. Augusto Sousa, FEUP/INESC TEC, Portugal
Kadi Bouatouch, IRISA, University of Rennes 1, France
A. Augusto Sousa, FEUP/INESC TEC, Portugal

VISAPP PROGRAM CO-CHAIRS:
Petia Radeva, Universitat de Barcelona, Spain
Antonino Furnari, University of 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