Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather. - Jongoh Jeong; Jong-Hwan Kim 001 (BMVC, 2022)

End-to-End Real-Time Obstacle Detection Network for Safe Self-Driving via Multi-Task Learning. - Taek-Jin Song; Jongoh Jeong; Jong-Hwan Kim 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints. - Guk Han; Jongoh Jeong; Jong-Hwan Kim 001 (IEEE Access, 2023)

Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction. - Hwan-Soo Choi; Jongoh Jeong; Young Hoo Cho; Kuk-Jin Yoon; Jong-Hwan Kim (CoRR, 2023)

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks. - Hunmin Yang; Jongoh Jeong; Kuk-Jin Yoon (AAAI, 2024)

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks. - Hunmin Yang; Jongoh Jeong; Kuk-Jin Yoon (ECCV (43), 2024)

Semantic Structure-Aware Generative Attacks for Enhanced Adversarial Transferability. - Jongoh Jeong; Hunmin Yang; Jaeseok Jeong 001; Kuk-Jin Yoon (CoRR, 2025)