VISAPP 2024 : 19th International Conference on Computer Vision Theory and Applications

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 AREAS

The last decade has seen a revolution in the theory and application of Artificial Intelligence and Machine Learning in Computer Vision. In this conference edition, we look at advanced in Computer Vision based on Machine Learning methods. 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:
1. IMAGE AND VIDEO PROCESSING AND ANALYSIS
2. IMAGE AND VIDEO UNDERSTANDING
3. MOTION, TRACKING AND STEREO VISION
4. MOBILE AND EGOCENTRIC VISION FOR HUMANS AND ROBOTS
5. APPLICATIONS AND SERVICES


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