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Computer Vision and Machine Learning Lab

Computer Vision and Machine Learning Lab

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Professor

About

KAIST 메타버스대학원(GSMV) 및 전산학부 김태균(Tae-Kyun Kim) 교수의 컴퓨터 비전 및 머신러닝 연구실(KAIST Computer Vision and Learning Lab, KCVL)이다. 3D 컴퓨터 비전을 위한 (딥)머신러닝, 생성형 AI, 물리 기반 AI를 중심으로 3D 손/신체 복원, 얼굴 분석·인식, 6D 객체 자세 추정, 행동 인식, 객체 검출·추적 등을 연구한다. 2010~2020년 임페리얼 칼리지에서 동명의 연구실을 이끌었고 2020년 KAIST로 부임했다.

Research keywords

컴퓨터비전기계학습

Selected publications

  • MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based DynamicsNeurIPS · 2025
  • SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image RepresentationsNeurIPS · 2025
  • Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose EstimationICCV · 2025
  • Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity ConditioningCVPR · 2025
  • Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded ImagesNeurIPS · 2024
  • Dense Hand-Object GraspNet with Full Grasping Taxonomy and DynamicsECCV · 2024
  • InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse DiffusionCVPR · 2024

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