About me

I’m currently a PhD student in Prof. Angela Dai’s 3D AI Lab at TU Munich. My research focuses on 3D reconstruction and scene understanding. In particular, I’m interested in incorporating semantic or geometric priors into 3D reconstruction.

Previously, I was a research assistant working with Prof. Min Sun at National Tsing Hua University (NTHU). I received MSc and BSc degrees in Computer Science at National Taiwan University (NTU), where I worked on 3D point cloud understanding and robotic grasping with Prof. Winston Hsu.

Publications

  • ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
    Chandan Yeshwanth*, Yueh-Cheng Liu* , Matthias Nießner, Angela Dai
    ICCV 2023 Oral
    [arxiv] [project]

  • 360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation
    Bolivar Solarte*, Yueh-Cheng Liu*, Chin-Hsuan Wu, Yi-Hsuan Tsai, Min Sun
    IEEE Robotics and Automation Letters (RA-L), 2022. Oral Presentation at ICRA 2023.
    [arxiv] [project]

  • Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining
    Yueh-Cheng Liu, Yu-Kai Huang, Hung-Yueh Chiang, Hung-Ting Su, Zhe-Yu Liu, Chin-Tang Chen, Ching-Yu Tseng, Winston H. Hsu
    arXiv preprint, 2021.
    [arxiv]

  • S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
    Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang,Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu
    Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    [arxiv]
  • A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
    Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston Hsu
    Conference on Robot Learning (CoRL), 2020.
    [arxiv] [video]
  • A Unified Point-based Framework for 3D Segmentation
    Hung-Yueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston H. Hsu
    International Conference on 3D Vision (3DV), 2019.
    [arxiv] [video] [code]

Teaching

Misc