Empirical Study on Designing of Gaze Tracking Camera Based on the Information of User's Head Movement. - Weiyuan Pan; Dong-Wook Jung; Hyo Sik Yoon; Dong Eun Lee; Rizwan Ali Naqvi; Kwan Woo Lee; Kang Ryoung Park (Sensors, 2016)

Fuzzy System-Based Target Selection for a NIR Camera-Based Gaze Tracker. - Rizwan Ali Naqvi; Muhammad Arsalan; Kang Ryoung Park (Sensors, 2017)

Deep Learning-Based Iris Segmentation for Iris Recognition in Visible Light Environment. - Muhammad Arsalan; Hyung Gil Hong; Rizwan Ali Naqvi; Min Beom Lee; Min-Cheol Kim; Dong Seop Kim; Chan Sik Kim; Kang Ryoung Park (Symmetry, 2017)

Body-movement-based human identification using convolutional neural network. - Ganbayar Batchuluun; Rizwan Ali Naqvi; Wan Kim; Kang Ryoung Park (Expert Syst. Appl., 2018)

Fuzzy-based estimation of continuous Z-distances and discrete directions of home appliances for NIR camera-based gaze tracking system. - Jae Woong Jang; Hwan Heo; Jae Won Bang; Hyung Gil Hong; Rizwan Ali Naqvi; Phong Ha Nguyen 001; Dat Tien Nguyen; Min Beom Lee; Kang Ryoung Park (Multim. Tools Appl., 2018)

IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors. - Muhammad Arsalan; Rizwan Ali Naqvi; Dong Seop Kim; Phong Ha Nguyen 001; Muhammad Owais; Kang Ryoung Park (Sensors, 2018)

Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor. - Rizwan Ali Naqvi; Muhammad Arsalan; Ganbayar Batchuluun; Hyo Sik Yoon; Kang Ryoung Park (Sensors, 2018)

LightDenseYOLO: A Fast and Accurate Marker Tracker for Autonomous UAV Landing by Visible Light Camera Sensor on Drone. - Phong Ha Nguyen 001; Muhammad Arsalan; Ja Hyung Koo; Rizwan Ali Naqvi; Noi Quang Truong; Kang Ryoung Park (Sensors, 2018)

Sclera-Net: Accurate Sclera Segmentation in Various Sensor Images Based on Residual Encoder and Decoder Network. - Rizwan Ali Naqvi; Woong-Kee Loh (IEEE Access, 2019)

Ocular-Net: Lite-Residual Encoder Decoder Network for Accurate Ocular Regions Segmentation in Various Sensor Images. - Rizwan Ali Naqvi; Sang-Woong Lee 001; Woong-Kee Loh (BigComp, 2020)

A Novel and Efficient 3D Multiple Images Encryption Scheme Based on Chaotic Systems and Swapping Operations. - Muhammad Hanif 007; Rizwan Ali Naqvi; Sagheer Abbas; Muhammad Adnan Khan 001; Nadeem Iqbal 001 (IEEE Access, 2020)

Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications. - Rizwan Ali Naqvi; Muhammad Arsalan; Abdul Rehman 003; Ateeq Ur Rehman 002; Woong-Kee Loh; Anand Paul 001 (Remote. Sens., 2020)

Comments on: "Comparison of Methods Study between a Photonic Crystal Biosensor and Certified ELISA to Measure Biomarkers of Iron Deficiency in Chronic Kidney Disease Patients". - Naseem Abbas; Rizwan Ali Naqvi (Sensors, 2020)

An Input-Perceptual Reconstruction Adversarial Network for Paired Image-to-Image Conversion. - Aamir Khan; Weidong Jin; Muqeet Ahmad; Rizwan Ali Naqvi; Desheng Wang (Sensors, 2020)

Variable Viscosity Effects on Unsteady MHD an Axisymmetric Nanofluid Flow over a Stretching Surface with Thermo-Diffusion: FEM Approach. - Bagh Ali; Rizwan Ali Naqvi; Yufeng Nie 001; Shahid Ali Khan; Muhammad Tariq Sadiq; Ateeq Ur Rehman 002; Sohaib Abdal (Symmetry, 2020)

SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction. - S. M. A. Sharif; Rizwan Ali Naqvi; Mithun Biswas (BMVC, 2021)

Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-Bin Image Sensor. - S. M. A. Sharif; Rizwan Ali Naqvi; Mithun Biswas (CVPR Workshops, 2021)

A Two-Stage Deep Network for High Dynamic Range Image Reconstruction. - S. M. A. Sharif; Rizwan Ali Naqvi; Mithun Biswas; Sungjun Kim (CVPR Workshops, 2021)

Automatic Image Annotation Based on Deep Learning Models: A Systematic Review and Future Challenges. - Myasar Mundher Adnan; Mohd Shafry Mohd Rahim; Amjad Rehman; Zahid Mehmood; Tanzila Saba; Rizwan Ali Naqvi (IEEE Access, 2021)

Contrast Enhancement of Fundus Images by Employing Modified PSO for Improving the Performance of Deep Learning Models. - Khursheed Aurangzeb; Sheraz Aslam; Musaed A. Alhussein; Rizwan Ali Naqvi; Muhammad Arsalan; Syed Irtaza Haider (IEEE Access, 2021)

Trait Based Trustworthiness Assessment in Human-Agent Collaboration Using Multi-Layer Fuzzy Inference Approach. - Sadaf Hussain; Rizwan Ali Naqvi; Sagheer Abbas; Muhammad Adnan Khan 001; Tanweer Sohail; Dildar Hussain (IEEE Access, 2021)

On the Image Encryption Algorithm Based on the Chaotic System, DNA Encoding, and Castle. - Nadeem Iqbal 001; Rizwan Ali Naqvi; Muhammad Atif; Muhammad Adnan Khan 001; Muhammad Hanif 007; Sagheer Abbas; Dildar Hussain (IEEE Access, 2021)

GCORP: Geographic and Cooperative Opportunistic Routing Protocol for Underwater Sensor Networks. - Sarang Karim; Faisal Karim Shaikh; Bhawani Shankar Chowdhry; Zahid Mehmood; Usman Tariq; Rizwan Ali Naqvi; Adnan Ahmed 001 (IEEE Access, 2021)

Corrections to "GCORP: Geographic and Cooperative Opportunistic Routing Protocol for Underwater Sensor Networks". - Sarang Karim; Faisal Karim Shaikh; Bhawani Shankar Chowdhry; Zahid Mehmood; Usman Tariq; Rizwan Ali Naqvi; Adnan Ahmed 001 (IEEE Access, 2021)

A Scale Normalized Generalized LoG Detector Approach for Retinal Vessel Segmentation. - Mohammad A. U. Khan; Faizan Abdullah; Awais Akram; Rizwan Ali Naqvi; Mehwish Mehmood; Dildar Hussain; Toufique Ahmed Soomro (IEEE Access, 2021)

Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. - Adnan Muhammad Shah; Xiangbin Yan; Abdul Qayyum; Rizwan Ali Naqvi; Syed Jamal Shah (Int. J. Medical Informatics, 2021)

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. - Furkan Kinli; Sami Mentes; Baris Özcan; Furkan Kiraç; Radu Timofte; Yi Zuo; Zitao Wang; Xiaowen Zhang; Yu Zhu 004; Chenghua Li; Cong Leng; Jian Cheng 001; et al. (ECCV Workshops (3), 2022)

Exploiting the Multiscale Information Fusion Capabilities for Aiding the Leukemia Diagnosis Through White Blood Cells Segmentation. - Nadeem Akram; Sharjeel Adnan; Muhammad Asif; Syed Muhammad Ali Imran; Muhammad Naveed Yasir; Rizwan Ali Naqvi; Dildar Hussain (IEEE Access, 2022)

Driver's emotion and behavior classification system based on Internet of Things and deep learning for Advanced Driver Assistance System (ADAS). - Mariya Tauqeer; Saddaf Rubab; Muhammad Attique Khan; Rizwan Ali Naqvi; Kashif Javed; Abdullah Alqahtani 001; Shtwai Alsubai; Adel Binbusayyis (Comput. Commun., 2022)

Performance Evaluation of Machine Learning-Based Channel Equalization Techniques: New Trends and Challenges. - Shahzad Hassan; Noshaba Tariq; Rizwan Ali Naqvi; Ateeq Ur Rehman 002; Mohammed K. A. Kaabar (J. Sensors, 2022)

Passive Framework of Sparse Region Duplication Detection from Digital Images. - Zahid Mehmood; Hassan Nazeer Chaudhry; Rizwan Ali Naqvi; Farzana Kulsoom; Asmaa Munshi; Muhammad Bilal 011 (J. Sensors, 2022)

Combining Deep Learning with Single-Spectrum UV Imaging for Rapid Detection of HNSs Spills. - Syed Raza Mehdi; Kazim Raza; Hui Huang; Rizwan Ali Naqvi; Amjad Ali 011; Hong Song (Remote. Sens., 2022)

SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images. - Ahmad Naeem; Tayyaba Anees; Makhmoor Fiza; Rizwan Ali Naqvi; Seung-Won Lee (Sensors, 2022)

Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications. - Rizwan Ali Naqvi; Muhammad Arsalan; Talha Qaiser; Tariq Mahmood Khan; Imran Razzak (Sensors, 2022)

Perceptual adversarial non-residual learning for blind image denoising. - Aamir Khan; Weidong Jin; Rizwan Ali Naqvi (Soft Comput., 2022)

Deep Perceptual Enhancement for Medical Image Analysis. - S. M. A. Sharif; Rizwan Ali Naqvi; Mithun Biswas; Woong-Kee Loh (IEEE J. Biomed. Health Informatics, 2022)

A novel image dehazing framework for robust vision-based intelligent systems. - Farah Deeba; Fayaz Ali Dharejo; Muhammad Zawish; Fida Hussain Memon; Kapal Dev; Rizwan Ali Naqvi; Yuanchun Zhou; Yi Du (Int. J. Intell. Syst., 2022)

Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey. - Muhammad Zubair Islam; Rizwan Ali Naqvi; Amir Haider; Hyung Seok Kim (Eng. Appl. Artif. Intell., 2023)

Road Feature Detection for Advance Driver Assistance System Using Deep Learning. - Hamza Nadeem; Kashif Javed; Zain Nadeem; Muhammad Jawad Khan; Saddaf Rubab; Dong Keon Yon; Rizwan Ali Naqvi (Sensors, 2023)

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays. - Hassaan Malik; Ahmad Naeem; Rizwan Ali Naqvi; Woong-Kee Loh (Sensors, 2023)

DarkDeblur: Learning single-shot image deblurring in low-light condition. - S. M. A. Sharif; Rizwan Ali Naqvi; Farman Ali 001; Mithun Biswas (Expert Syst. Appl., 2023)

A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema. - Muhammad Zubair; Muhammad Umair; Rizwan Ali Naqvi; Dildar Hussain; Muhammad Owais; Naoufel Werghi (J. King Saud Univ. Comput. Inf. Sci., 2023)

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study. - Shafia Riaz; Ahmad Naeem; Hassaan Malik; Rizwan Ali Naqvi; Woong-Kee Loh (Sensors, 2023)

Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction. - Varun Shinde; Vineet Dhanawat; Ahmad Almogren; Anjanava Biswas; Muhammad Bilal 011; Rizwan Ali Naqvi; Ateeq Ur Rehman 002 (IEEE Access, 2024)

Unmasking colorectal cancer: A high-performance semantic network for polyp and surgical instrument segmentation. - Abbas Jafar; Zain Ul Abidin; Rizwan Ali Naqvi; Seung-Won Lee (Eng. Appl. Artif. Intell., 2024)

Automatic delineation and prognostic assessment of head and neck tumor lesion in multi-modality positron emission tomography / computed tomography images based on deep learning: A survey. - Zain Ul Abidin; Rizwan Ali Naqvi; Muhammad Zubair Islam; Abbas Jafar; Seung-Won Lee; Hyung Seok Kim (Neurocomputing, 2024)

An adaptive ensemble deep learning framework for reliable detection of pandemic patients. - Muhammad Shahid Iqbal; Rizwan Ali Naqvi; Roohallah Alizadehsani; Sadiq Hussain; Syed Atif Moqurrab; Seung-Won Lee (Comput. Biol. Medicine, 2024)

ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks. - Sunder Ali Khowaja; Parus Khuwaja; Fayaz Ali Dharejo; Saleem Raza; Ik Hyun Lee; Rizwan Ali Naqvi; Kapal Dev (Inf. Fusion, 2024)

Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks. - Mesfin Leranso Betalo; Supeng Leng; Hayla Nahom Abishu; Fayaz Ali Dharejo; Abegaz Mohammed Seid; Aiman Erbad; Rizwan Ali Naqvi; Longyu Zhou; Mohsen Guizani (IEEE Trans. Veh. Technol., 2024)

Privacy-preserving collaborative AI for distributed deep learning with cross-sectional data. - Saeed Iqbal; Adnan N. Qureshi; Musaed A. Alhussein; Khursheed Aurangzeb; Khalid Javeed; Rizwan Ali Naqvi (Multim. Tools Appl., 2024)

Corrections to "Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction". - Varun Shinde; Vineet Dhanawat; Ahmad Almogren; Anjanava Biswas; Muhammad Bilal 011; Rizwan Ali Naqvi; Ateeq Ur Rehman 002 (IEEE Access, 2025)

Optimizing optic cup and optic disc delineation: Introducing the efficient feature preservation segmentation network. - Zain Ul Abidin; Rizwan Ali Naqvi; Hyung Seok Kim; Hak Seob Kim; Daesik Jeong; Seung-Won Lee (Eng. Appl. Artif. Intell., 2025)

Dual-task hierarchical feature refinement and fusion network for precise segmentation of surgical tools and polyps in endoscopy. - Zain Ul Abidin; Rizwan Ali Naqvi; Muhammad Zubair Islam; Hyung Seok Kim; Abbas Jafar; Daesik Jeong; Seung Won Lee (Expert Syst. Appl., 2025)

Optimizing slogan classification in ubiquitous learning environment: A hierarchical multilabel approach with fuzzy neural networks. - Pir Noman Ahmad; Adnan Muhammad Shah; Kangyoon Lee; Rizwan Ali Naqvi; Wazir Muhammad (Knowl. Based Syst., 2025)

Transforming Lung Disease Diagnosis With Transfer Learning Using Chest X-Ray Images on Cloud Computing. - Imran Arshad Choudhry; Saeed Iqbal; Musaed A. Alhussein; Adnan N. Qureshi; Khursheed Aurangzeb; Rizwan Ali Naqvi (Expert Syst. J. Knowl. Eng., 2025)

Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images. - S. M. A. Sharif; Rizwan Ali Naqvi; Woong-Kee Loh (CoRR, 2025)

Illuminating Darkness: Enhancing Real-world Low-light Scenes with Smartphone Images. - S. M. A. Sharif; Abdur Rehman; Zain Ul Abidin; Rizwan Ali Naqvi; Fayaz Ali Dharejo; Radu Timofte (CoRR, 2025)

SkinDWNet: a novel deep learning model for multiclass classification of skin cancers using dermoscopic images. - Ahmad Naeem; Hassaan Malik; Mui-Zzud-Din; Abolghasem Sadeghi-Niaraki; Daesik Jeong; Rizwan Ali Naqvi (Multim. Syst., 2025)