publications

(*) denotes equal contribution

  1. arXiv
    RLSplat Figure 1: quality, memory, and inference latency across Gaussian budgets
    RLSplat: Resource-Linear Budget Control for Feed-forward 3D Gaussian Splatting
    Injae Kim, Minseok Joo, Jihwan Park, Sehyung Kim, Minseong Bae, and Hyunwoo J. Kim
    arXiv preprint arXiv:2610.27712, 2026
    Paper Code Project
  2. arXiv
    Mitigating State Aliasing in Vision-Language-Action Models via Inverse Dynamics Learning
    Kyujin Lee, Injae Kim, Jihwan Park, Yejun Ju, Minseok Joo, and Hyunwoo J. Kim
    arXiv preprint arXiv:2605.29577, 2026
    PDF
  3. ECCV
    F4Splat teaser
    F4Splat: Feed-Forward Predictive Densification for Feed-Forward 3D Gaussian Splatting
    Injae Kim, Chaehyeon Kim, Minseong Bae, Minseok Joo, and Hyunwoo J. Kim
    In European Conference on Computer Vision (ECCV 2026)
    PDF Code Project
  4. arXiv
    Efficient Multi-view Training for 3D Gaussian Splatting
    Minhyuk Choi, Injae Kim, and Hyunwoo J. Kim
    arXiv preprint arXiv:2506.12727, 2025
    PDF
  5. NeurIPS
    UP-NeRF teaser
    UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields
    Injae Kim*, Minhyuk Choi*, and Hyunwoo J. Kim
    In Advances in Neural Information Processing Systems (NeurIPS 2023)
    PDF Code Project
  6. MICCAI Workshop
    Concept Bottleneck teaser
    Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification
    Injae Kim, Jongha Kim, Joonmyung Choi, and Hyunwoo J. Kim
    In MICCAI 2023 Workshop (Oral Presentation)
    PDF
  7. arXiv
    Semantic-Aware Occlusion Filtering Neural Radiance Fields in the Wild
    Jonghyun Lee, Injae Kim, Hyungjoon Heo, and Hyunwoo J. Kim
    arXiv preprint arXiv:2303.03966, 2023
    PDF
  8. NeurIPS
    SageMix teaser
    SageMix: Saliency-Guided Mixup for Point Clouds
    Sanghyeok Lee*, Minkyu Jeon*, Injae Kim, Yunyang Xiong, and Hyunwoo J. Kim
    In Advances in Neural Information Processing Systems (NeurIPS 2022)
    PDF Code