Conference Information
VISAPP 2025: International Conference on Computer Vision Theory and Applications
https://visapp.scitevents.org/Submission Date: |
2024-10-02 |
Notification Date: |
2024-12-04 |
Conference Date: |
2025-02-26 |
Location: |
Porto, Portugal |
Years: |
20 |
CORE: c QUALIS: b3 Viewed: 28405 Tracked: 18 Attend: 7
Call For Papers
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 3D VISION 4. MOBILE, EGOCENTRIC, AND ROBOTIC VISION 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 3D 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 3D Deep Learning AREA 4: MOBILE, EGOCENTRIC, AND ROBOTIC VISION Deep Learning for Tracking 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
Last updated by Dou Sun in 2024-06-30
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