While we, humans, are the creators of powerful machines that can perceive the world the way we do, we have absolutely no idea why these machines work so effectively. I try to make a small dent in this grand question.
Adel Bibi PhD Student, EE

Education Profile

  • M.Sc., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2016
  • B.Sc., Electrical Engineering, Kuwait University, Kuwait, 2014

Honors & Awards

  • Granted a scholarship to attend the AI-DLDA summer school, 2018.
  • Best poster award, Optimization and Big Data Conference, KAUST, 2018.
  • Outstanding reviewer, The Premier Annual Computer Vision and Pattern Recognition conference (CVPR18).
  • Ranked first on Electrical Engineering Department among the graduating class with a GPA of 3.99/4, Kuwait University. 
  • Best Electrical Engineering Graduation Project Award, the Kuwait Science Foundation for the Advancement of Sciences, 2014.
  • Dean's honor list award for four consecutive years, Kuwait University.

Adel Bibi is a Ph. D. candidate in Image and Video Understanding Lab (IVUL) Group under the supervision of Prof. Bernard Ghanem at KAUST. 

Education and Early Career

Adel Bibi has a Bachelor’s Degree in Electrical Engineering from Kuwait University in 2014. He received his Master Degree in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) in 2015.

During his preparation for the Master degree, Bibi was a Teaching Assistant in EE397: Advanced Topics in Signal Processing (Introduction to Computer Vision) at KAUST. In 2016, Bibi was the Teaching Assistant in AMCS211: Numerical Optimization at KAUST.

Research Interest

Bibi is mainly interested in Computer Vision, Machine Learning, and Optimization. Specifically, he’s concerned about RGB/RGBD trackers, Circulant Structure Matrices for Tracking, Correlation/Convolution Filters, Stereo based Trackers, Underwater Color Correction, Sparse Representation and Clustering. 

Honors and Awards

Adel Bibi had several honors during his undergraduate studies. He received the Dean's honor list for 4 consecutive years. He was ranked first among his graduating class. Also, Bibi won the best graduation project in Electrical Engineering for the year on the project (SAIC: Synthetic Artificial Intelligent Clothes).

Selected Publications

Adel Bibi, among with Prof. Bernard Ghanem, published the Multi Template Scale Adaptive Kernelized Correlation Filters at the International Conference on Computer Vision Workshop in 2015.

Selected Publications

Müller, M., Bibi, A. A., Giancola, S., Al-Subaihi, S., Ghanem, B. (2018). TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild, (Preprint). https://hdl.handle.net/10754/627423
Bibi, A., & Ghanem, B. (2017). High Order Tensor Formulation for Convolutional Sparse Coding. 2017 IEEE International Conference on Computer Vision (ICCV). doi:10.1109/iccv.2017.197
Bibi, A., Itani, H., & Ghanem, B. (2017). FFTLasso: Large-Scale LASSO in the Fourier Domain. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2017.465
Zhang, T., Bibi, A., & Ghanem, B. (2016). In Defense of Sparse Tracking: Circulant Sparse Tracker. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2016.421
Bibi, A., Zhang, T., & Ghanem, B. (2016). 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2016.160
Bibi, A., Mueller, M., & Ghanem, B. (2016). Target Response Adaptation for Correlation Filter Tracking. Lecture Notes in Computer Science, 419–433. doi:10.1007/978-3-319-46466-4_25
Bibi, A. A. (2016). Advances in RGB and RGBD Generic Object Trackers, (Thesis). https://hdl.handle.net/10754/609455
Bibi, A., & Ghanem, B. (2015). Multi-template Scale-Adaptive Kernelized Correlation Filters. 2015 IEEE International Conference on Computer Vision Workshop (ICCVW). doi:10.1109/iccvw.2015.83