A Unified Point-Based Framework for 3D Segmentation. - HungYueh Chiang; Yen-Liang Lin; Yueh-Cheng Liu; Winston H. Hsu (3DV, 2019)

Indoor Depth Completion with Boundary Consistency and Self-Attention. - Yu-Kai Huang; Tsung-Han Wu; Yueh-Cheng Liu; Winston H. Hsu (ICCV Workshops, 2019)

GDN: 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 H. Hsu (CoRL, 2020)

Expanding Sparse Guidance for Stereo Matching. - Yu-Kai Huang; Yueh-Cheng Liu; Tsung-Han Wu; Hung-Ting Su; Winston H. Hsu (CoRR, 2020)

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 H. Hsu (CoRR, 2020)

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 (CVPR, 2021)

ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. - Tsung-Han Wu; Yueh-Cheng Liu; Yu-Kai Huang; Hsin-Ying Lee 002; Hung-Ting Su; Ping-Chia Huang; Winston H. Hsu (ICCV, 2021)

Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection. - Tung-I Chen; Yueh-Cheng Liu; Hung-Ting Su; Yu-Cheng Chang; Yu-Hsiang Lin; Jia-Fong Yeh; Winston H. Hsu (CoRR, 2021)

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 (CoRR, 2021)

Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining. - Yueh-Cheng Liu; Yu-Kai Huang; HungYueh Chiang; Hung-Ting Su; Zhe Yu Liu; Chin-Tang Chen; Ching-Yu Tseng; Winston H. Hsu (CoRR, 2021)

Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data. - Guan-Rong Lu; Yueh-Cheng Liu; Tung-I Chen; Hung-Ting Su; Tsung-Han Wu; Winston H. Hsu (CoRR, 2021)

360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning. - Bolivar Solarte; Chin-Hsuan Wu; Yueh-Cheng Liu; Yi-Hsuan Tsai; Min Sun 001 (NeurIPS, 2022)

360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation. - Bolivar Solarte; Yueh-Cheng Liu; Chin-Hsuan Wu; Yi-Hsuan Tsai; Min Sun 001 (IEEE Robotics Autom. Lett., 2022)

Raw Image Deblurring. - Chih-Hung Liang; Yu-An Chen; Yueh-Cheng Liu; Winston H. Hsu (IEEE Trans. Multim., 2022)

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. - Chandan Yeshwanth; Yueh-Cheng Liu; Matthias Nießner; Angela Dai (ICCV, 2023)

Dual-Awareness Attention for Few-Shot Object Detection. - Tung-I Chen; Yueh-Cheng Liu; Hung-Ting Su; Yu-Cheng Chang; Yu-Hsiang Lin; Jia-Fong Yeh; Wen-Chin Chen; Winston H. Hsu (IEEE Trans. Multim., 2023)

QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization. - Yueh-Cheng Liu; Lukas Höllein; Matthias Nießner; Angela Dai (CoRR, 2025)

TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset. - Olaf Wysocki; Benedikt Schwab; Manoj Kumar Biswanath; Michael Greza; Qilin Zhang; Jingwei Zhu; Thomas Froech; Medhini Heeramaglore; Ihab Hijazi; Khaoula Kanna; Mathias Pechinger; Zhaiyu Chen; et al. (CoRR, 2025)