Live free ‘AIDA AI Excellence e-Lecture’ by Prof. Dr. Gerard Pons-Moll (University of Tübingen) : “How to train large scale 3D human foundation models”, February 4, 2025 – 17:00 CET.

Dear AI scientist/engineer/student/enthusiast,

 

Professor Dr. Gerard Pons-Moll (University of Tübingen) will deliver the e – lecture: “How to train large scale 3D human foundation models“

📅 Date: 4th February 2025

🕒 Time: 17:00 – 18:00 CET

🔗 Join via Zoom: [Zoom link & passcode: 114050]

🌐 For more details, click here

 

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, is very pleased to offer you top quality scientific lectures 

in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by:

  • Top highly cited senior AI scientists internationally or
  • Young AI scientists with promise of excellence (AI sprint lectures)

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

 

 

Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, J. Stefanowski
AIDA AI Excellence Lecture Series committee members

 

 

CVPR 2025 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges

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CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 20 CHALLENGES
NTIRE: 10th New Trends in Image Restoration and Enhancement workshop and challenges.
In conjunction with CVPR 2025, June 10-17, Nashville, US.
TOPICS
● Image/video inpainting
● Image/video deblurring
● Image/video denoising
● Image/video upsampling and super-resolution
● Image/video filtering
● Image/video de-hazing, de-raining, de-snowing, etc.
● Demosaicing
● Image/video compression
● Removal of artifacts, shadows, glare and reflections, etc.
● Image/video enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Hyperspectral image restoration, enhancement, manipulation

● Underwater image restoration, enhancement, manipulation
● Light field image restoration, enhancement, manipulation
● Methods robust to changing weather conditions / adverse outdoor conditions
● Image/video restoration, enhancement, manipulation on constrained settings/mobile devices
● Visual domain translation
● Multimodal translation
● Perceptual enhancement
● Perceptual manipulation
● Depth estimation
● Image/video generation and hallucination
● Image/video quality assessment
● Image/video semantic segmentation
● Saliency and gaze estimation
● Studies and applications of the above.

SUBMISSION
A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style.
The review process is double blind.
Accepted and presented papers will be published after the conference in the 2024 CVPR Workshops Proceedings.

Author Kit: 
https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2025-v3.1(latex).zip

WORKSHOP DATES
● Early & Regular Papers submission deadline: March 7, 2025
● Challenge Papers submission deadline: April 1, 2025
● Papers reviewed elsewhere submission deadline: April 1, 2025


CHALLENGES

To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2025 page:

CHALLENGES DATES

● Release of train data: January, 2025
● Competitions end: March 21, 2024

SPEAKERS (TBA)
SPONSORS (TBA)

Call for Papers – IEEE ICCIDA 2025 📢

Dear Researchers and Industry Professionals,
We are pleased to announce the Call for Papers for the IEEE 3rd International Conference on Computational Intelligence and Data Analytics (ICCIDA 2025), scheduled for July 17-18, 2025 at Autonomous University of Madrid, Spain.
This prestigious conference provides a global platform for academics, scientists, and professionals to present their innovative research and gain international recognition.
Why Participate in ICCIDA 2025?
📖 IEEE Xplore Publication – Accepted papers will be published in IEEE Xplore, ensuring worldwide visibility.
🤝 Collaborate with Experts – Network with leading researchers and industry professionals in cutting-edge fields such as:
🔹 Artificial Intelligence & Machine Learning
🔹 Big Data Analytics & Cloud Computing
🔹 Cybersecurity & Blockchain Technologies
🔹 IoT & Smart Systems
Important Dates
🗓 Paper Submission: May 10, 2025
🗓 Registration Deadline: June 30, 2025
How to Submit?
Visit www.iccida.net for detailed submission guidelines and requirements. For any inquiries, reach out to us at info@iccida.net
Join ICCIDA 2025 and be part of a transformative event shaping the future of computational intelligence and data analytics! 
Warm regards,
Shallena Akbar
Conference Secretary

Challenge on Video Quality Enhancement at CVPR 2025

We are organizing the first NTIRE Challenge on Video Quality Enhancement for Video Conferencing at CVPR 2025.

We invite researchers to develop Video Quality Enhancement models that improve lighting, color, sharpness, and reduce noise in video calls – thereby giving a professional studio-like effect. We provide participants with a differentiable Video Quality Assessment model, training and test videos. The participants submit enhanced videos which will be evaluated in our crowdsourced framework.

Registration is open. Checkout our website for details: https://www.microsoft.com/en-us/research/academic-program/ntire-2025-vqe/

Thank you

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

 

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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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