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Kim Junmo Lab

Kim Junmo Lab

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대학원생·학부생을 적극 모집(연구실 contact 페이지 통해 문의)

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Professor

About

KAIST 전기및전자공학부 김준모(Junmo Kim) 교수의 SIIT(Statistical Inference & Information Theory) 연구실이다. 컴퓨터 비전, 멀티모달 학습, AI 안전성을 아우르는 AI 기반 연구를 수행한다. 3D 컴퓨터 비전·자율주행, 생성·확산 모델, 대규모 언어·멀티모달 학습, 신뢰가능 AI, 의료·과학 AI 등을 다룬다.

Research keywords

Statistical signal processingimage processingcomputer visioninformation theory

Recent papers

From OpenAlex · papers whose author affiliation matches this university

Selected publications

  • Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory BalanceICML (Spotlight) · 2026
  • Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion EditingCVPR · 2026
  • PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse MotionCVPR · 2026
  • SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive GenerationICLR · 2026
  • AI-KD: Adversarial learning and Implicit regularization for self-Knowledge DistillationKnowledge-Based Systems · 2024
  • ContextMix: A Context-Aware Data Augmentation Method for Industrial Visual Inspection SystemsEngineering Applications of Artificial Intelligence · 2024

Labs doing related research

Labs that recently published on topics this lab's recent papers share

Shared topic: Multimodal Machine Learning Applications

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