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 […]
Archive for November 27th, 2024
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. […]