Call for Competition on text line segmentation: FEST @ ICDAR 2025

March 18th, 2025 Daniela Lopez de Luise
 

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CALL FOR COMPETITION: FEST @ ICDAR 2025

Competition on few-shot text line segmentation

https://ai4ch.uniud.it/FESTcompICDAR25/

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We are glad to announce FEST: Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST), in conjunction with the 19th International Conference on Document Analysis and Recognition ICDAR 2025.

 

Competition Overview:

Text line segmentation is a crucial component of Document Image Analysis, particularly for ancient handwritten documents. It directly influences subsequent tasks like optical character recognition, layout analysis, and information extraction.

This competition challenges participants to develop systems capable of segmenting text lines using only three annotated images per manuscript for training. The dataset features a diverse collection of ancient manuscripts with varying layouts, levels of degradation, and non-standard formatting, reflecting real-world complexities. By focusing on few-shot learning, this competition aims to encourage the development of methods that can be readily applied by humanities scholars without the need for extensive manual annotation, fostering broader adoption of automated document analysis tools.

 

Competition Tasks:

We challenge the participants to perform the task of textline segmentation on the proposed dataset, U-DIADS-TL, in a few-shot setting, providing only three images, with their corresponding ground truths, as the training set for each of the three manuscripts comprising it.

 

Important Dates:

·        Registration Open: 10 December, 2024

·        Test set release to participants: 7 April, 2025

·        Deadline of the Competition: 20 April, 2025

·        Winner announcement: 30 June, 2025

 

 

For any additional information, please visit the website: https://ai4ch.uniud.it/FESTcompICDAR25/

 

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🚀 Nuevo Curso INVERTER – Aprende a Fabricar Probadores y Herramientas 🔧

March 18th, 2025 Daniela Lopez de Luise
Si la tecnología INVERTER es lo tuyo, este curso es para ti

🔹 Curso: Tecnología INVERTER – Fabricación de Probadores y Herramientas

Aprenderás las diferencias entre sistemas tradicionales e inverter, el funcionamiento de motores de 3 y 5 cables, compresores, forzadores y más. Además, con diagramas detallados, descubrirás cómo fabricar probadores y herramientas para diagnosticar y verificar cada componente

📅 Inicio: 25 de marzo (4 clases en vivo)

🔗 ¡Inscríbete ahora presionando aquí!

Si quieres más detalles, haz clic aquí para ver la información completa

No dejes pasar esta oportunidad. ¡Te esperamos en el curso!

Saludos, Mauricio Etcheverry y Equipo de YoReparo

¡Saludos!

Mauricio Etcheverry y el equipo de YoReparo.com

El equipo de YoReparo.com


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2nd CfP: The 4th Benchmark for Autonomous Robot Navigation (BARN) Challenge — ICRA 2025 Competition

March 18th, 2025 Daniela Lopez de Luise
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Lessons Learned from The BARN Challenge 2024: https://cs.gmu.edu/~xiao/papers/barn24_report.pdf 
Lessons Learned from The BARN Challenge 2023: https://cs.gmu.edu/~xiao/papers/barn23_report.pdf
Lessons Learned from The BARN Challenge 2022: https://cs.gmu.edu/~xiao/papers/barn22_report.pdf
Dear roboticists,
are you interested in agile robot navigation in highly constrained spaces with a lot of obstacles around, e.g., cluttered households or after-disaster scenarios? Do you think mobile robot navigation is mostly a solved problem? Are you looking for a hands-on project for your robotics class, but may not have (sufficient) robot platforms for your students?
If your answer is yes to any of the above questions, we sincerely invite you to participate in The 4th BARN Challenge at ICRA 2025 (https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge25.html)! The BARN Challenge aims at evaluating state-of-the-art autonomous navigation systems to move robots through highly constrained environments in a safe and efficient manner. The task is to navigate a standardized Clearpath Jackal robot from a predefined start to a goal location as quickly as possible without any collision. The challenge will take place both in the simulated BARN dataset and in physical obstacle courses at ICRA 2025.
1. The competition task is designing ground navigation systems to navigate through all 300 BARN environments (https://cs.gmu.edu/~xiao/Research/BARN/BARN.html) and physical obstacle courses constructed at ICRA 2025 as fast as possible without collision.
2. The 300 BARN environments can be the training set for learning-based methods, or to design classical approaches in. During the simulation competition, we will generate another 50 unseen environments unavailable to the participants before the competition.
3. We will standardize a Jackal robot in the Gazebo simulation, including a Hokuyo 2D LiDAR, motor controller of 2m/s max speed, etc.
4. Participants can use any approaches to tackle the navigation problem, such as using classical sampling-based or optimization-based planners, end-to-end learning, or hybrid approaches. We will provide baselines for reference. 
5. A standardized scoring system is provided on the website.
6. We will invite the top teams in simulation to compete in the real world. The team who achieves the fastest collision-free navigation in the physical obstacle courses wins.
If you are interested in participating, please submit your navigation system at https://docs.google.com/forms/d/e/1FAIpQLSfYFw_BVg-7lpXNVxQIX_xQKpFrU2m4jrXAVvrRv8pLzgLkLw/viewform 
Co-Organizers:
Xuesu Xiao (George Mason University)
Zifan Xu (UT Austin)
Aniket Datar (George Mason University)
Saad Abdul Ghani (George Mason University)
Peter Stone (UT Austin / Sony AI)
Sponsor:
Clearpath Robotics, https://clearpathrobotics.com/
Thanks
Xuesu
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CF PE-WASUN 2025

March 18th, 2025 Daniela Lopez de Luise

MSports’25 Call for Papers

March 18th, 2025 Daniela Lopez de Luise
8th International Workshop on Multimedia Content Analysis in Sports (MMSports'25) @ ACM Multimedia, Oct 27 – Oct 31, 2025, Dublin, Ireland

 

We'd like to invite you to submit your paper for the 8th International Workshop on Multimedia Content Analysis in Sports to be held in Dublin, Ireland together with ACM Multimedia 2025. The ambition of this workshop is to bring together researchers and practitioners from many different disciplines to share ideas and methods on current multimedia/multimodal content analysis research in sports. We welcome multimodal-based research contributions as well as best-practice contributions focusing on the following (and similar, but not limited to) topics:

– annotation and indexing in sports 

– tracking people/ athlete and objects in sports

– activity recognition, classification, and evaluation in sports

– 3D scene and motion reconstruction in sports

– event detection and indexing in sports

– performance assessment in sports

– injury analysis and prevention in sports

– data driven analysis in sports

– graphical augmentation and visualization in sports

– automated training assistance in sports

– camera pose and motion tracking in sports

– brave new ideas / extraordinary multimodal solutions in sports

– personal virtual (home) trainers/coaches in sports

– datasets in sports

– graphical effects in sports

– alternative sensing in sports (beyond the visible spectrum)

– multimodal perception in sports

– exploiting physical knowledge in learning systems for sports

– sports knowledge discovery

– narrative generation and narrative analysis in sports

– mobile sports application

– multimedia in sports beyond video, including 3D data and sensor data

 

Submissions can be of varying length from 6 to 8 pages, plus up to two pages for the references. There is no distinction between long and short papers, but the authors may themselves decide on the appropriate length of their paper. All papers will undergo the same review process with the same review period.

 

Please refer to the workshop website for further information: 

http://mmsports.multimedia-computing.de/mmsports2025/index.html

 

IMPORTANT DATES

Submission Due:                           16 July 2025 

Acceptance Notification:                24 July 2025

Camera Ready Submission:         26 August 2025 

Workshop Date:                            TBA; either Oct 27th or Oct 28th, 2025


Challenges

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