Archive for November, 2024

Gaze Meets Computer Vision (GMCV) Workshop

We are very excited to announce the Gaze Meets Computer Vision (GMCV) Workshop, which will take place at WACV 2025 in Tucson, Arizona (Feb 28th – Mar 4th). Building on the success of our two previous gaze workshops at NeurIPS 2022 and 2023, which attracted a diverse array of experts from neuroscience, machine learning, reinforcement learning, and more, the GMCV workshop will explore […]

Special Issue on “International Journal on Digital Libraries”

The International Journal on Digital Libraries (IJDL) announces a special issue titled “An Outlook on Computer Science for Digital Libraries: Algorithms, Systems, and Applications”, tied to the IRCDL 2025 conference (https://ircdl2025.uniud.it) This issue highlights critical computer science principles transforming digital libraries, from document engineering and algorithms to applications in academic research and cultural heritage. The […]

Shared Tasks on AI-Generated Content (text and image) Detection @ DEFACTIFY – AAAI 2025

Motivation: A report by the European Union Law Enforcement Agency predicts that by 2026, up to 90% of online content could be synthetically generated, raising concerns among policymakers, who cautioned that ”Generative AI could act as a force multiplier for political disinformation. The combined effect of the generative text, images, videos, and audio may surpass […]

DEADLINE EXTENDED – 3rd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS)

3nd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS)  in conjunction with the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025 (https://wacv2025.thecvf.com/) WORKSHOP WEBSITE  https://sites.google.com/unitn.it/cv4ws-wacv2025 TOPICS We invite submissions to our WACV 2025 workshop on computer vision in winter and mountain sports, including disciplines like skiing, bobsleigh, climbing, and downhill biking. These sports […]

Machine Learning Seminar

Statistical Horizons presents Machine Learning, a 3-day seminar taught by Bruce Desmarais on January 8-10.  This seminar will provide you with a comprehensive understanding of the core concepts and practical applications of machine learning, including cross-validation, model evaluation, variable selection, classification, prediction, and regression. You'll gain proficiency in leveraging machine learning techniques to enhance your research endeavors.  […]

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