Scholar
Jongoh Jeong
Google Scholar ID: VOfoz6AAAAAJ
KAIST
Citations & Impact
Citations
64
H-index
4
i10-index
2
Publications
12
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Pre-print: Improving Black-Box Generative Attacks via Generator Semantic Consistency, Jun. 2025
- CVPR 2025 Workshop on Generative Models for Computer Vision (GMCV 2025): Boosting Adversarial Transferability with a Generative Model Perspective, Jun. 2025
- ECCV 2024: Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks, Sep. 2024 (Oral, 8.37% of accepted, 2.33% of submitted)
- Pre-print: Task-oriented Learnable Diffusion Timesteps for Universal Few-shot Learning of Dense Tasks, Sep. 2024
- AAAI 2024: FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks, Feb. 2024
- Pre-print: AVOID: The Adverse Visual Conditions Dataset with Obstacles for Driving Scene Understanding
- RiTA 2023: Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction, Dec. 2023
- Pre-print: Exploring Syn-to-Real Domain Adaptation for Military Target Detection, Oct. 2023
- ICCV 2023 Workshop on Adversarial Robustness In the Real World (AROW 2023): FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks, Oct. 2023
- IEEE Access, Apr. 2023: Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints
- Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather
Research Experience
- Conducting research at the Visual Intelligence Lab, KAIST, focusing on robust and data-efficient visual representation learning, domain adaptation/generalization, and transfer learning.
Background
- Research Interests: Computer Vision (robust/data-efficient representation learning, domain adaptation/generalization for continual learning), Robotic/Machine Vision (autonomous driving, sensor fusion), Machine Learning (robust, safe, trustworthy, adversarial AI)
Miscellany
- Personal interests not provided. Contact: jeong2 [at] kaist.ac.kr; Other links: CV, Google Scholar, Github, LinkedIn
