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[1] Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset and Benchmark for Biometric Safety
Younggun Kim, Swetha Sirnam, Fazil Kagdi, and Mubarak Shah
IEEE/CVF Conference on Computer Vision and Pattern Recognition Findings 2026 (CVPR Findings).
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[2] Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Younggun Kim, Mohamed Abdel-Aty, Beomsik Cho, Seonghoon Rhoo, and Soomok Lee*
Minor Revision at IEEE Transactions on Intelligent Vehicles (T-IV). [Impact Factor: 14.3, JCR Quartiles: Q1, Conditionally Accepted]
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[3] Region-Level Vision-Language Model for Detecting Distraction Behaviors and Mobility Attributes of Vulnerable Road Users
Dai Quoc Tran*, Mohamed Abdel-Aty, Younggun Kim, Ahmed Abdelrahman, and Zubayer Islam
IEEE Transactions on Intelligent Transportation Systems (T-ITS). [Impact Factor: 8.4, JCR Quartiles: Q1]
2025
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[4] VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding
Younggun Kim, Ahmed S. Abdelrahman*, and Mohamed Abdel-Aty
International Conference on Computer Vision Workshop (ICCVW), 2025. [Oral, Best Student Paper Award]
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[5] Pedestrian Crossing Direction Prediction at Intersections for Pedestrian Safety
Younggun Kim*, Mohamed Abdel-Aty, Keechoo Choi, Zubayer Islam, Dongdong Wang, and Shaoyan Zhai
IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS), 2025. [Impact Factor: 5.3, JCR Quartiles: Q1]