129 citations · 307 across the 17 of their papers we have counts for
17 papers
Efficient quantum image representation and compression circuit using zero-discarded state preparation approach
Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq +1
Quantum image computing draws a lot of attention due to storing and processing image data faster than classical. With increasing the image size, the number of connections also incr…
Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions
Mohammed Eunus Ali, Muhammad Aamir Cheema, Tanzima Hashem +2
A Digital Twin (DT) is a virtual replica of a physical object or system, created to monitor, analyze, and optimize its behavior and characteristics. A Spatial Digital Twin (SDT) is…
Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis
Sadi Md. Redwan, Md Palash Uddin, Anwaar Ulhaq +1
Historically, the analysis of stimulus-dependent time-frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations in high-fr…
Block-wise quantum grayscale image representation and compression scheme using state connection
Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq +1
Quantum computing draws huge attention due to its faster computational capability compared to classical computing to represent and compress the classical image data into the quantu…
A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder
Sadi Md. Redwan, Md Palash Uddin, Muhammad Imran Sharif +1
In the last two decades, functional magnetic resonance imaging (fMRI) has emerged as one of the most effective technologies in clinical research of the human brain. fMRI allows res…
Adversarial Domain Adaptation for Action Recognition Around the Clock
Anwaar Ulhaq
Due to the numerous potential applications in visual surveillance and nighttime driving, recognizing human action in low-light conditions remains a difficult problem in computer vi…
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq, Naveed Akhtar
Diffusion Models (DMs) have demonstrated state-of-the-art performance in content generation without requiring adversarial training. These models are trained using a two-step proces…
Vision Transformers for Action Recognition: A Survey
Anwaar Ulhaq, Naveed Akhtar, Ganna Pogrebna +1
Vision transformers are emerging as a powerful tool to solve computer vision problems. Recent techniques have also proven the efficacy of transformers beyond the image domain to so…
Advance quantum image representation and compression using DCTEFRQI approach
Md Ershadul Haque, Manoranjon Paul, Anwaar Ulhaq +1
In recent year, quantum image processing got a lot of attention in the field of image processing due to opportunity to place huge image data in quantum Hilbert space. Hilbert space…
Efficient dynamic point cloud coding using Slice-Wise Segmentation
Faranak Tohidi, Manoranjan Paul, Anwaar Ulhaq
With the fast growth of immersive video sequences, achieving seamless and high-quality compressed 3D content is even more critical. MPEG recently developed a video-based point clou…
Dynamic Point Cloud Compression with Cross-Sectional Approach
Faranak Tohidi, Manoranjan Paul, Anwaar Ulhaq
The recent development of dynamic point clouds has introduced the possibility of mimicking natural reality, and greatly assisting quality of life. However, to broadcast successfull…
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features
Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5
The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
Anwaar Ulhaq, Oliver Burmeister
To address COVID-19 healthcare challenges, we need frequent sharing of health data, knowledge and resources at a global scale. However, in this digital age, data privacy is a big c…
Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens
Asim Khan, Umair Nawaz, Anwaar Ulhaq +1
In the Agriculture sector, control of plant leaf diseases is crucial as it influences the quality and production of plant species with an impact on the economy of any country. Ther…
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…
Computer Vision For COVID-19 Control: A Survey
Anwaar Ulhaq, Asim Khan, Douglas Gomes +1
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intell…
Vegetation High-Impedance Faults' High-Frequency Signatures via Sparse Coding
Douglas P. S. Gomes, Cagil Ozansoy, Anwaar Ulhaq
The behavior of High-Impedance Faults (HIFs) in power distribution systems depends on multiple factors, making it a challenging disturbance to model. If enough data from real stage…