Anas Al-lahham

Bonn, Germany

Hi, I am Anas Al-lahham, a PhD student at the University of Bonn working in the Computer Vision Group (CVG) under the supervision of Prof. Juergen Gall. My current research focuses on foundational models for weather forecasting, video anomaly detection (VAD), and early action prediction.

Previously, I earned my Master’s degree in Computer Vision at at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE in 2023, where I worked as a part of the SPriNT-AI lab under the supervision of Dr. Karthik Nandakumar. I also hold a bachelor’s degree in Electrical Engineering from King Saud University (KSU).

My research interests include Video Anomaly Detection, Early Action Prediction, and Weather Forecasting, with a focus on leveraging advanced computer vision techniques and foundational models to address challenges in these domains.

Email / Google Scholar / Github / CV

News

Nov 15, 2024	I have started my PhD at Bonn University working in the Computer Vision Group (CVG).
Feb 1, 2024	Our paper titled “Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline” has been accepted for publication at CVPR 2024.
Oct 15, 2023	“A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection” accepted in WACV, 2024.
Apr 20, 2023	Graduated with a Master’s degree in Computer Vision at MBZUAI.
Jan 10, 2023	Our paper on Digital Twins is published to IEEE Access.
Aug 15, 2021	Started my master’s degree in computer vision at MBZUAI.
Oct 1, 2020	Our paper on solar irradiance forecasting is accepted to MDPI journal.
May 20, 2020	Graduated from King Saud University (KSU) where I ranked 1st among students in my major.

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Publications

* denotes joint first authors

2024

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, and Karthik Nandakumar

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Bib PDF Code Website

@inproceedings{al2024collaborative,
  title = {Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline},
  author = {<strong>Al-lahham</strong>, <strong>Anas</strong> and Zaheer, Muhammad Zaigham and Tastan, Nurbek and Nandakumar, Karthik},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition <strong>(CVPR)</strong>},
  pages = {12416--12425},
  year = {2024},
  month = {},
}

A coarse-to-fine pseudo-labeling (C2FPL) framework for unsupervised video anomaly detection

Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, and Karthik Nandakumar

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

Bib PDF Code

@inproceedings{al2024coarse,
  title = {A coarse-to-fine pseudo-labeling (C2FPL) framework for unsupervised video anomaly detection},
  author = {<strong>Al-lahham</strong>, <strong>Anas</strong> and Tastan, Nurbek and Zaheer, Muhammad Zaigham and Nandakumar, Karthik},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision <strong>(WACV)</strong>},
  pages = {6793--6802},
  year = {2024},
  month = {},
}

2023

Digital twin of atmospheric environment: Sensory data fusion for high-resolution PM 2.5 estimation and action policies recommendation

Kudaibergen Abutalip*, Anas Al-lahham*, and Abdulmotaleb El Saddik

IEEE Access journal (IEEE), 2023

Bib PDF Code

@article{abutalip2023digital,
  author = {Abutalip*, Kudaibergen and <strong>Al-lahham*</strong>, <strong>Anas</strong> and El Saddik, Abdulmotaleb},
  title = {Digital twin of atmospheric environment: Sensory data fusion for high-resolution PM 2.5 estimation and action policies recommendation},
  journal = {IEEE Access journal <strong>(IEEE)</strong>},
  year = {2023},
  month = {},
}

2020

Sky imager-based forecast of solar irradiance using machine learning

Anas Al-lahham, Obaidah Theeb, Khaled Elalem, Tariq A. Alshawi, and Saleh A. Alshebeili

Electronics open-access journal (MDPI), 2020

Bib PDF

@article{al2020sky,
  author = {<strong>Al-lahham</strong>, <strong>Anas</strong> and Theeb, Obaidah and Elalem, Khaled and A. Alshawi, Tariq and A. Alshebeili, Saleh},
  title = {Sky imager-based forecast of solar irradiance using machine learning},
  journal = {Electronics open-access journal <strong>(MDPI)</strong>},
  year = {2020},
  month = {},
}