IMVIP 2024 : 26th Irish Machine Vision and Image Processing Conference

The Irish Machine Vision and Image Processing Conference (IMVIP) Conference is the annual research conference of the Irish Pattern Recognition and Classification Society. The chief objective of the society is the advancement of research and study of pattern recognition, classification, and associated fields and the applications of the outcomes of research. IPRCS is a member of the International Association for Pattern Recognition (IAPR) and the International Federation of Classification Societies.

We invite authors to submit previously unpublished work that follows the theme and topics of our conference. All submissions will go through a double-blind review process. Papers will be selected based on relevance, significance, and novelty of results, technical merit, and clarity of presentation. All papers will be published in the IMVIP proceedings.

Submitted papers shall be either:
Full-length papers (limited to a maximum of 8 pages including references and appendices), or
Short papers (limited to a maximum of 4 pages including references and appendices) having promising results inviting further research and development.

Note: Typically, short papers will be considered for poster sessions and full papers will be considered for oral sessions, though final decisions on this will not be made until the full conference programme is organised.

Double-Blind Review
All submissions are subject to a double-blind review and therefore should not contain author names, affiliations, or links/references that would identify the authors or their affiliation.

Submit
Please follow the Author Instructions to submit your papers. All submissions will be handled electronically via the conference's CMT Website: https://cmt3.research.microsoft.com/IMVIP2024

Conference Attendance:
At least one author from every paper must register for the conference and attend to present the work (either as an oral presentation or poster). Any no-shows will result in a withdrawal of the paper from the proceedings.

Important Dates:
(all deadlines 23:59 PM Irish Time)

Full paper submission deadline: May 22, 2024
Full paper notification to authors: June 24, 2024.
Full paper camera-ready deadline: July 9, 2024.


Short paper submission deadline: June 21, 2024
Short paper notification to authors: July 6, 2024.
Short paper camera-ready deadline: July 22, 2024.


Workshops/Tutorials date: August 21, 2024
Main Conference dates: August 22 and 23, 2024

Please note: If you require a visa to travel for the conference, and require additional time for the processing of the visa, please submit the paper early and reach out to the organisers so that the review process can be expedited.

Conference Research Themes:
IMVIP 2024 is soliciting papers presenting novel research contributions or applications related to any aspect of computer vision or image processing. Contributions are sought in all aspects of image processing, pattern analysis, and machine vision, including but not restricted to the following topics:

Visually Guided Robot Manipulation and Navigation
Computer Vision for Autonomous Vehicles
Augmented Reality/Virtual Reality/Metaverse
Data Clustering and Texture Analysis
Image/Video Representation, Compression and Coding
Medical and Biomedical Imaging
Active Vision, Tracking, and Motion Analysis
Multispectral Imaging (NIR, thermal LWIR)
Neuromorphic (Event Camera) Imaging & Algorithms
Object and Event Recognition
Face and Gesture Recognition
2D, 2.5D & 3D Scene Analysis and Visualisation
Deep Learning for Computer Vision
Image/Shape Representation and Recovery
Human-Computer Interaction (HCI)
Quality of Experience (QoE)
Applications, Architectures, and Systems Integration
Education in Image Processing or Machine Vision
Industry Applications of Machine Vision/Imaging
Imaging Sensors and Image Signal Processing
Image Quality Measurement
Testing and/or manufacturing cameras
Multimodal Sensing
Combination of Natural Language Processing and Computer Vision
Audio-Visual Scene Understanding
Foundation Models for Vision
Generative AI ( VAEs, GANs, and Diffusion Models)