Pattern Recognition

Seven IVUL members recognized as Outstanding Reviewers by CVPR 2021

1 min read · Sun, Jun 13 2021

Computer Vision Pattern Recognition artificial intelligence

The 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) has granted Outstanding Reviewer awards to seven members of IVUL: Alejandro Pardo, Ali Thabet, Chen Zhao, Mattia Soldan, Mengmeng Xu, Juan C. Pérez, and Silvio Giancola. CVPR, a premier annual computer vision event that will take place virtually from June 19th to June 25th, is the largest computer vision conference in the world, gathering researchers from academia and industry alike. The peer-review process through which the conference determines acceptance of papers relies on expert reviewers from across the world

Israel Jesus Santos Filho

M.S. Student (former), Electrical and Computer Engineering

Pattern Recognition machine learning deep learning Compressive Sensing

MS Student, Electrical and Computer Engineering ,work under the supervision of Professor Tareq Al-Naffouri at King Abdullah University of Science and Technology.

Abdullah Alharthi

Postdoctoral Research Fellow, Electrical and Computer Engineering

data analysis Pattern Recognition Sensor Fusion Deep learning Human Gait Analysis Applications convolutional neural network Perception Human-robot interaction

Dr. Abdullah Alharthi's research centers around pattern recognition as a means to tackle a diverse array of new challenges, including how to learn intelligent behavior in complex, dynamic environments. His areas of expertise include cognition, perception, theory of mind, gait, and human-robot interaction. His work delves into both human kinetics and the comprehension and resolution of how humans and robots interact with one another in a dynamic setting. Dr. Alharthi employs Deep Learning techniques to tackle problems related to image, object, and signal recognition and classification