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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.

Fundamental Research icon Fundamental Research
8 February 2021 - 10 February 2021
Vienna, Austria
© INSTICC
16th International Conference on Computer Vision Theory and Applications VISAPP

Website: http://www.visapp.visigrapp.org

February 8 - 10, 2021 Vienna, Austria


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.


IMPORTANT DATES:

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

PROGRAM COMMITTEE
http://www.visapp.visigrapp.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: http://www.visapp.visigrapp.org
e-mail: visapp.secretariat@insticc.org