Jongoh Jeong

4 papers · 2024–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

AAAI (1) CVPR (1) ECCV (1) WACV (1)

Top co-authors

Kuk-Jin Yoon (4) Hunmin Yang (2) Minseok Kim (1) Hoyong Kwon (1) Yujeong Chae (1) Hyeonseong Kim (1) Changgyoon Oh (1) Daehyun We (1)

Research topics

Deep Learning (3) Computer Vision (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Machine Learning (1) Analysis (1) Core AI (1) Domain-Specific (1) Learning Types · Machine Learning (1) Models (1) Processing (1)

Keywords

contrastive learning (1) semantic segmentation (1) anomaly detection (1) multimodal learning (1) autonomous driving (1) domain randomization (1) distribution matching (1) black-box attack (1) diffusion model (1) cross-modal alignment (1) open-set learning (1) dataset distillation (1) image-text retrieval (1) adversarial example (1) frequency domain (1) open-set recognition (1) lidar semantic segmentation (1) transferable attack (1) transferable adversarial attack (1) out-of-distribution learning (1)

Papers

DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation WACV 2026 Multimodal Distribution Matching for Vision-Language Dataset Distillation CVPR 2026 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks ECCV 2024