Tae-Young Kim

I am a Ph.D. student at the Visual Computing Lab, Sungkyunkwan University (SKKU), advised by Prof. Jae-Pil Heo. My research focuses on 3D reconstruction, particularly 3D Gaussian splatting. If you are interested in my research, please feel free to contact me by email.

Tae-Young Kim

Publications

  1. SSDV overview

    Unified Loss-Aware Density Control for 3D Gaussian Splatting

    Tae-Young Kim, jiwoo Chung, and Jae-Pil Heo

    The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026

  2. PDF-GS overview

    PDF-GS: Progressive Distractor Filtering for Robust 3D Gaussian Splatting

    Kangmin Seo, MinKyu Lee, Tae-Young Kim, ByeongCheol Lee, JoonSeoung An, and Jae-Pil Heo

    IEEE/CVF Conference Computer Vision and Pattern Recognition (CVPR [Findings]), 2026

  3. Mitigating Semantic Collapse overview

    Mitigating Semantic Collapse in Partially Relevant Video Retrieval

    WonJun Moon*, MinSeok Jung*, Gilhan Park, Tae-Young Kim, Cheol-Ho Cho, Woojin Jun, Jae-Pil Heo

    (*: equal contribution)

    The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

  4. SSDV overview

    Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models

    Eunseo Koh*, Seunghoo Hong*, Tae-Young Kim*, Simon S. Woo+, and Jae-Pil Heo+

    (*: equal contribution, +: joint supervision)

    IEEE/CVF International Conference on Computer Vision (ICCV), 2025

  5. Mitigating Background Shift overview

    Mitigating Background Shift in Class-Incremental Semantic Segmentation

    Gilhan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim, and Jae-Pil Heo

    European Conference on Computer Vision (ECCV), 2024

Education & Research

Awards & Honors