Jongoh Jeong

According to our database, Jongoh Jeong authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Multimodal Distribution Matching for Vision-Language Dataset Distillation.

Jongoh Jeong, Hoyong Kwon, Minseok Kim, Kuk-Jin Yoon

CoRR, May, 2026

DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation.

Changgyoon Oh, Hyeonseong Kim, Daehyun We, Jongoh Jeong, Yujeong Chae, Kuk-Jin Yoon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

AVOID: The Adverse Visual Conditions Dataset with Obstacles for Driving Scene Understanding.

Jongoh Jeong, Taek-Jin Song, Jong-Hwan Kim, Kuk-Jin Yoon

CoRR, December, 2025

Exploring Syn-to-Real Domain Adaptation for Military Target Detection.

Jongoh Jeong, Youngjin Oh, Gyeongrae Nam, Jeongeun Lee, Kuk-Jin Yoon

CoRR, December, 2025

Semantic Structure-Aware Generative Attacks for Enhanced Adversarial Transferability.

Jongoh Jeong, Hunmin Yang, Jaeseok Jeong, Kuk-Jin Yoon

CoRR, June, 2025

2024

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks.

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Proceedings of the Computer Vision - ECCV 2024, 2024

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks.

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints.

Guk Han, Jongoh Jeong, Jong-Hwan Kim

IEEE Access, 2023

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

IEEE Trans. Intell. Transp. Syst., 2022

Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather.

Jongoh Jeong, Jong-Hwan Kim

Proceedings of the 33rd British Machine Vision Conference 2022, 2022