62 citations · 204 across the 55 of their papers we have counts for
9 papers · 1 filter
Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG
Shibani Hamsa, Ismail Shahin, Youssef Iraqi +2
Speech signals are subjected to more acoustic interference and emotional factors than other signals. Noisy emotion-riddled speech data is a challenge for real-time speech processin…
Person Monitoring by Full Body Tracking in Uniform Crowd Environment
Zhibo Zhang, Omar Alremeithi, Maryam Almheiri +4
Full body trackers are utilized for surveillance and security purposes, such as person-tracking robots. In the Middle East, uniform crowd environments are the norm which challenges…
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Jhony H. Giraldo, Sajid Javed, Naoufel Werghi +1
Moving Object Detection (MOD) is a fundamental step for many computer vision applications. MOD becomes very challenging when a video sequence captured from a static or moving camer…
Efficient and Lightweight In-memory Computing Architecture for Hardware Security
Hala Ajmi, Fakhreddine Zayer, Amira Hadj Fredj +4
The paper proposes in-memory computing (IMC) solution for the design and implementation of the Advanced Encryption Standard (AES) based cryptographic algorithm. This research aims…
Robot Person Following in Uniform Crowd Environment
Adarsh Ghimire, Xiaoxiong Zhang, Sajid Javed +2
Person-tracking robots have many applications, such as in security, elderly care, and socializing robots. Such a task is particularly challenging when the person is moving in a Uni…
Deep learning framework for robot for person detection and tracking
Adarsh Ghimire, Xiaoxiong Zhang, Naoufel Werghi +2
Robustly tracking a person of interest in the crowd with a robotic platform is one of the cornerstones of human-robot interaction. The robot platform which is limited by the comput…
Real-Time Face Recognition System
Adarsh Ghimire, Naoufel Werghi, Sajid Javed +1
Over the past few decades, interest in algorithms for face recognition has been growing rapidly and has even surpassed human-level performance. Despite their accomplishments, their…
Underwater Image Enhancement Using Pre-trained Transformer
Abderrahmene Boudiaf, Yuhang Guo, Adarsh Ghimire +4
The goal of this work is to apply a denoising image transformer to remove the distortion from underwater images and compare it with other similar approaches. Automatic restoration…
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
Taimur Hassan, Samet Akcay, Mohammed Bennamoun +2
Screening cluttered and occluded contraband items from baggage X-ray scans is a cumbersome task even for the expert security staff. This paper presents a novel strategy that extend…