Tarek Sayed

23 papers A 1B 1C 1Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Bayesian hierarchical spatio-temporal generalized extreme value modeling for safety analysis from traffic conflicts.
Reliab. Eng. Syst. Saf.
Quansheng Yue, Yanyong Guo, Tarek Sayed, Pan Liu, Hao Lyu
2025 J jnl
Evaluating driver-pedestrian interaction behavior in different environments via Markov-game-based inverse reinforcement learning.
Expert Syst. Appl.
Gabriel Lanzaro, Tarek Sayed
2025 — conf
Optimizing Pedestrian Safety in Real-Time: An Extreme Value Theory-Based Reinforcement Learning Framework.
ITSC
Gabriel Andrade Lanzaro, Tarek Sayed
2024 J jnl
Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists' Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images.
Algorithms
Maged Shoman, Tarek Ghoul, Gabriel Lanzaro, Tala Alsharif, Suliman A. Gargoum, Tarek Sayed
2023 C conf
Comparing the Crash Risk of Vehicle-Pedestrian Interactions using Autonomous Vehicle Data.
IV
Gabriel Lanzaro, Chuanyun Fu, Tarek Sayed
2022 J jnl
Do road users play Nash Equilibrium? A comparison between Nash and Logistic stochastic Equilibriums for multiagent modeling of road user interactions in shared spaces.
Expert Syst. Appl.
Rushdi Alsaleh, Tarek Sayed
2022 J jnl
Modeling Motorcyclist-Pedestrian Near Misses: A Multiagent Adversarial Inverse Reinforcement Learning Approach.
J. Comput. Civ. Eng.
Gabriel Lanzaro, Tarek Sayed, Rushdi Alsaleh
2021 J jnl
An extreme value theory based approach for calibration of microsimulation models for safety analysis.
Simul. Model. Pract. Theory
Yanyong Guo, Tarek Sayed, Lai Zheng, Mohamed Essa
2021 J jnl
Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning.
Sensors
Tarek Ghoul, Tarek Sayed
2019 — conf
Do Simulated Traffic Conflicts Predict Crashes? An Investigation Using the Extreme Value Approach.
ITSC
Lai Zheng, Tarek Sayed, Mohamed Essa, Yanyong Guo
2018 — conf
A Methodology for the Microscopic Calibration of Agent-Based Pedestrian Simulation Models.
ITSC
Mohamed Hussein, Tarek Sayed
2018 J jnl
Automated Analysis of Pedestrian Group Behavior in Urban Settings.
IEEE Trans. Intell. Transp. Syst.
Mohamed H. Zaki, Tarek Sayed
2015 — conf
Florida International University - University of Miami TRECVID 2015.
TRECVID
Yilin Yan, Miguel Gavidia, Tarek Sayed, Hsin-Yu Ha, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen
2014 — conf
Florida International University - University of Miami TRECVID 2014.
TRECVID
Miguel Gavidia, Tarek Sayed, Yilin Yan, Quisha Zhu, Mei-Ling Shyu, Shu-Ching Chen, Hsin-Yu Ha, Ming Ma, Winnie Chen, Tiffany Chen
2013 J jnl
Classifying Road Users in Urban Scenes Using Movement Patterns.
J. Comput. Civ. Eng.
Mohamed H. Zaki, Tarek Sayed, Greg Mori
2013 — conf
Florida International University - University of Miami TRECVID 2013.
TRECVID
Tao Meng, Guiru Zhao, Fausto C. Fleites, Miguel Gavidia, Tarek Sayed, Yang Liu, Mei-Ling Shyu, Hsin-Yu Ha, Shu-Ching Chen
2013 A conf
Multiple Instance Learning by Discriminative Training of Markov Networks.
UAI
Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed
2013 J jnl
Multiple Instance Learning by Discriminative Training of Markov Networks.
CoRR
Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed
2012 J jnl
A large margin framework for single camera offline tracking with hybrid cues.
Comput. Vis. Image Underst.
Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier, Tarek Sayed, Greg Mori
2010 — conf
Max-Margin Offline Pedestrian Tracking with Multiple Cues.
CRV
Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier, Tarek Sayed, Greg Mori
2007 — conf
Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis.
ITSC
Nicolas Saunier, Tarek Sayed, Clark Lim
2006 — conf
A feature-based tracking algorithm for vehicles in intersections.
CRV
Nicolas Saunier, Tarek Sayed
2006 B conf
Clustering Vehicle Trajectories with Hidden Markov Models Application to Automated Traffic Safety Analysis.
IJCNN
Nicolas Saunier, Tarek Sayed