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March 18th, 2025 
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Call for Participation – SHREC 2025: Retrieval and Segmentation of Multiple Relief Patterns
March 18th, 2025 Daniela Lopez de Luise We invite you to participate in the SHREC 2025 track on “Retrieval and Segmentation of Multiple Relief Patterns”.
Relief patterns (or geometric textures) can be defined as a repeated pattern of local surface corrugation, independent of the global shape of the object or the photometric properties of the surface.
The analysis of relief patterns has applications in various fields requiring the characterization of regular (or quasi-regular) structures, such as fabric inspection, medical imaging, and the restoration of historic artifacts.
The study of relief patterns remains an underexplored problem within 3D shape analysis, which has traditionally focused on tasks such as shape correspondence, classification, and segmentation of parts or instances.
Nonetheless, with the release of increasingly large and complex datasets (e.g, Objaverse-XL), there is a growing need for powerful tools capable of analyzing objects across multiple scales, taking into account both global and local geometric properties.
This track focuses on the local characteristics of an object, which can convey critical information about material properties or semantic attributes that may be difficult to extract when considering only the shape of the object.
The track is structured into a main task and an optional challenge.
Participants are required to solve two problems:
- Pattern retrieval: Given a query mesh, participants are required to identify whether and where the relief patterns present in the query are located on the surface of a 3D model from a retrieval dataset.
- Optional challenge – Pattern segmentation: Participants are required to segment the different relief patterns present on the surface of 3D models in the query dataset.
For more detailed information on the track, registration, and important dates, please visit the official track webpage.
Participants are invited to submit their results along with a description of their methods, which will be included in a joint paper.
All participants will be co-authors of the track paper, which will be submitted to and published upon acceptance in the international journal Computer & Graphics.
If you have any questions, please do not hesitate to contact Gabriele Paolini (email: gabriele.paolini1@unifi.it).
Feel free to share this invitation email with colleagues, students, and anyone who may be interested.
We look forward to your participation in SHREC 2025.
Best regards,
Gabriele Paolini, University of Florence
Claudio Tortorici, Technology Innovation Institute
Stefano Berretti, University of Florence
CALL FOR PAPERS | MIGARS 2025 | Technically Co-Sponsored by IEEE GRSS | 2-4 September 2025| Bucharest, Romania
March 18th, 2025 Daniela Lopez de Luise CAIP 2025 – CALL FOR PAPERS
March 18th, 2025 Daniela Lopez de Luise CAIP 2025 is the 21st in the CAIP series of biennial international
conferences devoted to all aspects of computer vision, image analysis
and processing, pattern recognition, and related fields. CAIP 2025
invites researchers, practitioners, and industry professionals to submit
original contributions addressing the latest advancements, challenges,
and future directions in the fields of image processing,
pattern recognition, and related areas. The scientific program of the
conference will include keynotes and contributed papers in a single
track. CAIP 2025 will also feature workshops, contests, and tutorials
before the main event.
and processing, pattern recognition, and related fields. CAIP 2025
invites researchers, practitioners, and industry professionals to submit
original contributions addressing the latest advancements, challenges,
and future directions in the fields of image processing,
pattern recognition, and related areas. The scientific program of the
conference will include keynotes and contributed papers in a single
track. CAIP 2025 will also feature workshops, contests, and tutorials
before the main event.
FIELDS OF INTEREST
The conference invites novel contributions to the automatic analysis of
images and patterns, encompassing both new challenging application areas
and substantial new theoretical developments in the field.
• 3D Vision
• Biometrics
• Computer vision (CV) & creative computing
• Document analysis
• Explainable AI for CV
• Feature extraction
• Graph-based methods
• Human pose estimation
• Image restoration
• Keypoint detection
• Mobile multimedia
• Motion and tracking
• Segmentation
• Shape representation and analysis
• Biomedical image and pattern analysis
• Brain-inspired methods
• Deep Learning
• Egocentric Vision
• Face and gestures
• Generative AI for visual content
• High-dimensional topology methods
• Image and video forensics
• Image/video indexing & retrieval
• ML for image and pattern analysis
• Model-based vision
• Object recognition
• Self and Semi-supervised learning for CV
• Vision for robotics / drones / UAVs
IMPORTANT DATES
Paper Submission: 10 April 2025
Author notification: 10 June 2025
Camera-ready paper due: 20 June 2025
Conference dates: 22 – 25 September 2025
Submissions to CAIP 2025 should have no substantial overlap with any
other paper already submitted or published, or to be submitted during
the CAIP 2025 review period. All authors should be aware that
the paper is submitted to CAIP 2025. The proceedings of the conference
will be published in the Springer Verlag’s series Lecture Notes in
Computer Science (LNCS), therefore we strongly encourage prospective
authors to respect the submission guidelines.
Visit https://caip2025.com for additional information.
Second MetaFood Workshop at CVPR 2025 (Deadline Extension)
March 18th, 2025 Daniela Lopez de Luise Dear Community,
We are pleased to announce the call for papers for “The Second MetaFood Workshop” at CVPR 2025.
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The MetaFood Workshop is a premier venue for research that addresses the pressing challenges of applying state-of-the-art computer vision algorithms to food-related data. While modern computer vision models excel on well-curated datasets, they struggle when confronted with food data in natural, uncontrolled environments—often called “data in the wild”. This difficulty arises from the inherent complexities of food imagery, such as noisy, watermarked, and low-resolution data commonly found online.
The MetaFood Workshop is a premier venue for research that addresses the pressing challenges of applying state-of-the-art computer vision algorithms to food-related data. While modern computer vision models excel on well-curated datasets, they struggle when confronted with food data in natural, uncontrolled environments—often called “data in the wild”. This difficulty arises from the inherent complexities of food imagery, such as noisy, watermarked, and low-resolution data commonly found online.
The MetaFood Workshop aims to bridge this gap by showcasing groundbreaking research and fostering discussions on innovative methods for analyzing and digitizing food data. We invite the computer vision community to tackle these challenges and contribute solutions that can drive forward the fields of food computing and AI-driven food analysis.
Our program will feature technical paper presentations and invited talks from leading experts.
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Topics of interest include, but are not limited to:
- Multi-modal food data analysis covering images, video, audio, structured and/or unstructured text data
- Reasoning, in-context learning, and retrieval-augmented generation with Large-Language Models (LLMs)/ Vision-Language Models (VLMs) for food
- Food ontologies and LLM-based models for food data analysis
- Visual question answering with VLMs for food
- Food data analysis and uncertainty modeling
- Learning with noisy food labels
- Continual, self-supervised, semi-supervised, and unsupervised learning for food
- Food classification/detection/segmentation with 2D/3D bias
- Food 3D model reconstruction, Novel View Synthesis for food objects
- Food portion/nutrition value estimation
- Food manipulation understanding, robotic perception systems for food manipulation
- Food image quality analysis/inspection
- Food image/video generation and Generative AI
- Food video analysis and action (eating, cooking, etc.) recognition
- Fine-grained dietary monitoring and nutrition assessment
We welcome original research that presents novel applications, innovative algorithms, or critical analyses addressing these challenges. Submissions focusing exclusively on algorithm development without application to food data are better suited for the main CVPR conference.
Join us at the MetaFood Workshop to explore how computer vision can revolutionize food understanding and contribute to solving real-world challenges in food computing.
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Important Dates:
- Paper submission deadline: 14th March 2025 (11:59 pm AOE)
- Supplementary material deadline: 16th March 2025 (11:59 pm AOE)
- Notification to authors: 1st April 2025
- Camera-ready deadline: 7th April 2025 (11:59 pm AOE)
Submission Website: https://cmt3.research.microsoft.com/MTF2025/
We look forward to your contributions.
Regards,
Second MetaFood Workshop – Organizing Team