Younggun Kim
Orcid: 0009-0005-3108-5304
According to our database1,
Younggun Kim authored at least 7 papers
between 2024 and 2026.
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Bibliography
2026
Region-Level Vision-Language Model for Detecting Distraction Behavior and Mobility Attributes of Vulnerable Road Users.
IEEE Trans. Intell. Transp. Syst., May, 2026
MMCAformer: Macro-Micro Cross-Attention Transformer for Traffic Speed Prediction with Microscopic Connected Vehicle Driving Behavior.
CoRR, February, 2026
2025
Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset and Benchmark for Biometric Safety.
CoRR, September, 2025
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles.
CoRR, January, 2025
VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
2024
3D Adaptive Structural Convolution Network for Domain-Invariant Point Cloud Recognition.
CoRR, 2024
3D Adaptive Structural Convolution Network for Domain-Invariant Point Cloud Recognition.
Proceedings of the Computer Vision - ACCV 2024, 2024