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title: README
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---
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# Image and Video Understanding Lab (IVUL) – KAUST
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Welcome to the **Image and Video Understanding Lab (IVUL)** at **King Abdullah University of Science and Technology (KAUST)**!
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At IVUL, we explore fundamental and applied research in **computer vision**, with interests that span:
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- Activity recognition and detection
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- Robust object representations for tracking and recognition
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- Scene understanding from 3D data
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- Image and video annotation at scale
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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
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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](#) to see the impactful work our group has contributed to.
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## 🤝 Join Us
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We are always on the lookout for:
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- Bright and motivated **postdocs**
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- Passionate and curious **PhD and MSc students**
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- Engaged and enthusiastic **visiting students**
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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/).
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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
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To learn more about our ongoing projects and available opportunities within the team, please follow the links below:
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- [Publications](https://ivul.kaust.edu.sa/ivul-publications)
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- [Open Positions](https://ivul.kaust.edu.sa/ivul-openings)
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- [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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