16th International Conference on Computer Vision Theory and Applications - VISAPP 2021
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.
8 February 2021 - 10 February 2021
16th International Conference on Computer Vision Theory and Applications VISAPP
In Cooperation with: EUROGRAPHICS Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, Microsoft Academic, EI and Conference Proceedings Citation Index.
Regular Paper Submission: September 14, 2020 Authors Notification (regular papers): November 12, 2020 Final Regular Paper Submission and Registration: November 26, 2020
Conference Topics: Area 1: Applications and Services - Entertainment Imaging Applications - Media Watermarking and Security - 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 - Digital Photography
Area 2: Image and Video Formation, Preprocessing 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 3: Image and Video Understanding - Cognitive Models for Interpretation, Integration and Control - Computational Photography - 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 4: Mobile and Egocentric Vision for Humans and Robots - Deep Learning for Image-to-Text Translation and Dialogue - Deep Learning for Tracking - 3D Deep Learning - Understanding from Wearable and Mobile Cameras - Mobile and Egocentric Object Detection and Recognition - Mobile and Egocentric Localization - Egocentric Vision for Interaction Understanding - Mobile Vision - First Person Vision - Vision for Robotics - Active Vision
Area 5: 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
VISAPP CONFERENCE CO-CHAIRS: Jose Braz, Escola Superior de Tecnologia de Setúbal, Portugal Kadi Bouatouch, IRISA, University of Rennes 1, France
VISAPP PROGRAM CO-CHAIRS: Giovanni Maria Farinella, Università di Catania, Italy Petia Radeva, Universitat de Barcelona, Spain