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title: README
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# Image and Video Understanding Lab (IVUL) – KAUST
Welcome to the **Image and Video Understanding Lab (IVUL)** at **King Abdullah University of Science and Technology (KAUST)**!
At IVUL, we explore fundamental and applied research in **computer vision**, with interests that span:
- Activity recognition and detection
- Robust object representations for tracking and recognition
- Scene understanding from 3D data
- Image and video annotation at scale
Our mission is to make sense of visual data—especially at **large scale**—through the development of **innovative machine learning and optimization methods**.
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## 🔬 Research Focus
We aim to push the boundaries of what machines can understand from visual input. Our work addresses both theoretical and practical challenges across a broad spectrum of topics in computer vision and machine learning. Be sure to check out our [publications](https://ivul.kaust.edu.sa/ivul-publications) to see the impactful work our group has contributed to.
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## 🤝 Join Us
We are always on the lookout for:
- Bright and motivated **postdocs**
- Passionate and curious **PhD and MSc students**
- Engaged and enthusiastic **visiting students**
Here is a list of our current [Team](https://ivul.kaust.edu.sa/profiles). If you're interested in joining IVUL or learning more about what we do, [visit our page](https://ivul.kaust.edu.sa/).
Our research scope is broad and collaborative—there’s a place here for people with diverse interests in computer vision and AI.
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## 🚀 Projects & Opportunities
To learn more about our ongoing projects and available opportunities within the team, please follow the links below:
- [Publications](https://ivul.kaust.edu.sa/ivul-publications)
- [Open Positions](https://ivul.kaust.edu.sa/ivul-openings)
- [Collaborators](https://ivul.kaust.edu.sa/ivul-research-group-collaborators)
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Let's shape the future of visual intelligence—together.
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