ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation TH Wu, YC Liu, YK Huang, HY Lee, HT Su, PC Huang, WH Hsu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 82 | 2021 |
Indoor depth completion with boundary consistency and self-attention YK Huang, TH Wu, YC Liu, WH Hsu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 77 | 2019 |
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining YC Liu, YK Huang, HY Chiang, HT Su, ZY Liu, CT Chen, CY Tseng, ... arXiv preprint arXiv:2104.04687, 2021 | 74 | 2021 |
A unified point-based framework for 3d segmentation HY Chiang, YL Lin, YC Liu, WH Hsu 2019 International Conference on 3D Vision (3DV), 155-163, 2019 | 72 | 2019 |
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes C Yeshwanth, YC Liu, M Nießner, A Dai Proceedings of the IEEE/CVF International Conference on Computer Vision, 12-22, 2023 | 62 | 2023 |
Gdn: A coarse-to-fine (c2f) representation for end-to-end 6-dof grasp detection KY Jeng, YC Liu, ZY Liu, JW Wang, YL Chang, HT Su, W Hsu Conference on Robot Learning, 220-231, 2021 | 22 | 2021 |
S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation YK Huang, YC Liu, TH Wu, HT Su, YC Chang, TL Tsou, YA Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 20 | 2021 |
360-DFPE: Leveraging monocular 360-layouts for direct floor plan estimation B Solarte, YC Liu, CH Wu, YH Tsai, M Sun IEEE Robotics and Automation Letters 7 (3), 6503-6510, 2022 | 8 | 2022 |
360-mlc: Multi-view layout consistency for self-training and hyper-parameter tuning B Solarte, CH Wu, YC Liu, YH Tsai, M Sun Advances in Neural Information Processing Systems 35, 6133-6146, 2022 | 3 | 2022 |