Tarik K. Alafif

According to our database, Tarik K. Alafif authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction.

Manal Nawar Allahyani, Rahaf Alsulami, Taif Alwafi, Tarik Alafif, Heyfa Ammar, Sari Sabban, Xuewen Chen

Artif. Intell., April, 2023

2022

Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System.

Yiming Miao, Jun Yang, Bander A. Alzahrani, Guoguang Lv, Tarik Alafif, Ahmed Barnawi, Min Chen

IEEE Netw., 2022

Generative adversarial network based abnormal behavior detection in massive crowd videos: a Hajj case study.

Tarik K. Alafif, Bander A. Alzahrani, Yong Cao, Reem Alotaibi, Ahmed Barnawi, Min Chen

J. Ambient Intell. Humaniz. Comput., 2022

Adaptive Batch Normalization for Training Data with Heterogeneous Features.

Wael Alsobhi, Tarik Alafif, Alaa E. Abdel-Hakim, Weiwei Zong

CoRR, 2022

ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification.

Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi, Yasser Alatawi, Hassan Althobaiti, Abdulmajeed Alrefaei, Yousef M. Hawsawi, Tin Nguyen

CoRR, 2022

Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds.

Tarik Alafif, Anas Hadi, Manal Nawar Allahyani, Bander A. Alzahrani, Areej Matoog Alhothali, Reem Alotaibi, Ahmed Barnawi

CoRR, 2022

Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization.

Weiwei Zong, Eric Nathan Carver, Simeng Zhu, Eric Schaff, Daniel Chapman, Joon Lee, Hassan Bagher-Ebadian, Indrin J. Chetty, Benjamin Movsas, Winston Wen, Tarik Alafif, Xiangyun Zong

CoRR, 2022

2021

Airborne LiDAR Assisted Obstacle Recognition and Intrusion Detection Towards Unmanned Aerial Vehicle: Architecture, Modeling and Evaluation.

Yiming Miao, Yuan Tang, Bander A. Alzahrani, Ahmed Barnawi, Tarik K. Alafif, Long Hu

IEEE Trans. Intell. Transp. Syst., 2021

2020

Nucleus and Micronucleus (NucRec) Dataset.

Tarik Alafif

Dataset, May, 2020

Transfer Learning Benchmark for Cardiovascular Disease Recognition.

Mehrez Boulares, Tarik K. Alafif, Ahmed Barnawi

IEEE Access, 2020

Performance Comparison and Analysis for Large-Scale Crowd Counting Based on Convolutional Neural Networks.

Reem Alotaibi, Bander A. Alzahrani, Rui Wang, Tarik K. Alafif, Ahmed Barnawi, Long Hu

IEEE Access, 2020

Normal and Abnormal Heart Rates Recognition Using Transfer Learning.

Tarik K. Alafif, Mehrez Boulares, Ahmed Barnawi, Talal Alafif, Hassan Althobaiti, Ali Alferaidi

Proceedings of the 12th International Conference on Knowledge and Systems Engineering, 2020

Crowd Flow Collisions Simulation (Student Consortium).

Aseel Bajhmoum, Muath Alghamdi, Saud Alboqami, Mohammad Alasmari, Tarik Alafif, Abdulaziz Alshaer

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2017

Multi-channel multi-model feature learning for face recognition.

Melih S. Aslan, Zeyad Hailat, Tarik K. Alafif, Xue-wen Chen

Pattern Recognit. Lett., 2017

Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild.

Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xuewen Chen

CoRR, 2017

On Detecting Partially Occluded Faces with Pose Variations.

Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xuewen Chen

Proceedings of the 14th International Symposium on Pervasive Systems, 2017

On Classifying Facial Races with Partial Occlusions and Pose Variations.

Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xuewen Chen

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017