I'm a Principal AI Researcher at OGQ and an Affiliated Researcher at SNU AIBL Lab, working with Prof. Kyungsu Kim. I like finding out what large foundation models already know, and turning that into data-efficient, training-free vision systems that actually ship.
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- 🔭 Research: weakly-supervised segmentation, multimodal alignment, controllable generation
- 🧪 Recent obsession: your diffusion model is secretly a lot of things (edge detector included)
- 🏭 At OGQ since 2017 (9+ years), shipping vision AI used by NAVER, Samsung, JTBC, K-water, and more
- 📝 Reviewer for NeurIPS, ICLR, CVPR, ICCV, ECCV, ICML, MICCAI, AAAI and IJCV
- 🏆 Outstanding Reviewer at CVPR 2025 (Top 5.6%, 711 of 12,593)
- 💬 Always happy to chat about label-efficient learning: shjo.april@gmail.com
2026.06Two papers accepted to ECCV 2026: ISAC, EraseLoRA2026.06GeneRAG accepted to MICCAI 20262026.05ACE accepted to ICML 20262026.02TRACE selected as an Oral at ICLR 2026 ⭐ (Top 1.13%, 223 of 19,735)2025.06Two papers accepted to ICCV 2025: COIN, ELECT2025.06Named an Outstanding Reviewer at CVPR 2025 🏆 (Top 5.6%)
Earlier news
2024.07Two papers accepted to ECCV 2024: DHR, TTD2023.07MARS accepted to ICCV 20232021.01Puzzle-CAM accepted to ICIP 2021
Paper titles link to the project page when one exists, otherwise to the GitHub repository. 🟡 marks my leading roles (First / Co-First* / Co-Corresponding†), ⚪ marks co-authored work.
Under review & preprints
| Status | Paper | Role | Links |
|---|---|---|---|
Under review |
Chain-of-Prompts: One Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation | 🟡 First Author | arXiv · Code |
Under review |
PatchGate: Your VLM Already Sees the Objects It Forgets to Mention | 🟡 Co-Corresponding | arXiv TBD |
Under review |
LiftConsensus: Lifting 2D Change Evidence into 3D via Multi-View Spatial Consensus for Retail Change Detection | ⚪ Co-Author | arXiv TBD |
Preprint |
RSEPM: RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation | 🟡 First Author | arXiv · Code |
At OGQ I lead AI R&D that runs in production, not just in papers:
- 🏷️ Content tagging for NAVER, Samsung and Yonhap News: tens of millions of images auto-tagged per day across 10 languages
- 🛡️ Content moderation screening 59M+ creator assets for the OGQ markets (NAVER, SOOP, Chat+)
- 🎬 Generative AI for broadcast with JTBC: AI virtual product placement, cutting post-production cost by ~35%
- 🚁 Public-safety video analytics for K-water and the Korean National Police Agency: 42 nationwide on-premise sites, 5 KISA certifications
- 📟 Edge AI with EYENIX: NPU model compression for real-time inference on camera SoCs


