README.md

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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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