| A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents MM Karim, Y Li, R Qin, Z Yin IEEE Transactions on Intelligent Transportation Systems, 2022 | 38 | 2022 |
| A virtual-reality-based training and assessment system for bridge inspectors with an assistant drone Y Li, MM Karim, R Qin IEEE transactions on human-machine systems 52 (4), 591-601, 2022 | 24 | 2022 |
| A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos MM Karim, R Qin, G Chen, Z Yin Structural Health Monitoring 21 (3), 835-852, 2022 | 21 | 2022 |
| Toward explainable artificial intelligence (XAI) for early anticipation of traffic accidents MM Karim, Y Li, R Qin Transportation Research Record, 2022 | 21 | 2022 |
| Crash report data analysis for creating scenario-wise, spatio-temporal attention guidance to support computer vision-based perception of fatal crash risks Y Li, MM Karim, R Qin, Z Sun, Z Wang, Z Yin Accident Analysis & Prevention 151, 105962, 2021 | 16 | 2021 |
| Modeling and simulation of a robotic bridge inspection system MM Karim, CH Dagli, R Qin Procedia Computer Science 168, 177-185, 2020 | 16 | 2020 |
| An attention-guided multistream feature fusion network for early localization of risky traffic agents in driving videos MM Karim, Z Yin, R Qin IEEE Transactions on Intelligent Vehicles, 2023 | 12* | 2023 |
| A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention MM Karim, Y Li, R Qin, Z Yin arXiv preprint arXiv:2106.10319, 2021 | 11 | 2021 |
| A region-based deep learning algorithm for detecting and tracking objects in manufacturing plants MM Karim, D Doell, R Lingard, Z Yin, MC Leu, R Qin Procedia Manufacturing 39, 168-177, 2019 | 11 | 2019 |
| A multitask deep learning model for parsing bridge elements and segmenting defect in bridge inspection images C Zhang, MM Karim, R Qin Transportation Research Record 2677 (7), 693-704, 2023 | 7 | 2023 |
| Sos meta-architecture selection for infrastructure inspection system using aerial drones MM Karim, CH Dagli 2020 IEEE 15th International Conference of System of Systems Engineering …, 2020 | 6 | 2020 |
| A deep neural network for multiclass bridge element parsing in inspection image analysis C Zhang, MM Karim, Z Yin, R Qin arXiv preprint arXiv:2209.02141, 2022 | 3 | 2022 |
| Who is better at anticipating traffic crashes, human or artificial Intelligence? A gaze data-based exploratory study Y Li, MM Karim, R Qin CoRR, vol. abs/2108.01599, 2021 | 3 | 2021 |
| Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos MM Karim, R Qin, Y Wang arXiv preprint arXiv:2308.06628, 2023 | | 2023 |
| Deep Learning-Based Dashcam Video Analysis for Roadway Safety Enhancement: Accident Anticipation, Risky Agent Localization, and Trajectory Prediction MM Karim State University of New York at Stony Brook, 2023 | | 2023 |
| A Gaze Data-Based Comparative Study to Build a Trustworthy Human-AI Collaboration in Crash Anticipation Y Li, MM Karim, R Qin International Conference on Transportation and Development 2023, 737-748, 2023 | | 2023 |
| A Training Framework of Robotic Operation and Image Analysis for Decision-Making in Bridge Inspection and Preservation R Qin, G Chen, S Long, Z Yin, S Louis, MM Karim, T Zhao Missouri University of Science and Technology, 2020 | | 2020 |
| Computer vision based deep learning models for cyber physical systems MM Karim Missouri University of Science and Technology, 2020 | | 2020 |
| Bridge Inspection Video Data Analysis for Data-driven Asset Management MM Karim | | 2020 |
Ruwen QinStony Brook UniversityVerified email at stonybrook.edu
