mediaeval

4th position solution to the MediaEval - The 2019 Emotion and Themes in Music using Jamendo

Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]

Repository with code to extract different features from video and images.

Official repository for the MediaEval Medico 2025: VQA (with multimodal explanations) for GastroIntestinal Imaging, featuring the Kvasir-VQA-x1 dataset, participation guidelines, and starter resources.

Binary classification of the MediaEval 2015 Verifying Multimedia Use task dataset.

This repository holds the code to the https://multimediaeval.github.io/ website. The `master` branch contains only the `_site` folder built with Jekyll due to the use of a non-whitelisted plugin. To edit content, please go to the `gh-page` branch.

MediaEval challenge 2019 - to predict the memorability of the Videos

Dynamic medieval NPCs that can be recruited, assigned jobs, and commanded to build a kingdom — all within Minecraft.

🥈 2nd Place solution for the MediaEval 2026 NewsImages Challenge. Published system paper featuring hybrid retrieval, semantic search, OpenCLIP, BGE embeddings, and RealVisXL image generation.

🎞️ "MediaEval 2018: Predicting Media Memorability" - Using machine learning and visual features to predict multimedia content memorability（“MediaEval 2018：预测媒体记忆性” - 利用机器学习和视觉特征预测多媒体内容的记忆性）

A blog on Old Norse literature and similar topics, written around midnight, hence its name Midnight Mediaeval Thoughts

COMP3222 Machine Learning Coursework with the aim of designing a ML algorithm to classify Twitter posts as being fake or real.

Machine Learning, Predicting Media MEmorability MediaEval'2018

MediaEval 2026 SynthIM Subtask A project for real vs synthetic image detection using EfficientNet-B0, ConvNeXt-Tiny, and ViT/CLIP, with Kaggle-based experiments, fixed evaluation, analysis scripts, and competition submission files.