| Convolution in the cloud: Learning deformable kernels in 3d graph convolution networks for point cloud analysis ZH Lin, SY Huang, YCF Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 264 | 2020 |
| Learning of 3d graph convolution networks for point cloud analysis ZH Lin, SY Huang, YCF Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4212-4224, 2021 | 67 | 2021 |
| Dora: 3d visual grounding with order-aware referring TY Wu, SY Huang, YCF Wang arXiv e-prints, arXiv: 2403.16539, 2024 | 8 | 2024 |
| GSNeRF: Generalizable semantic neural radiance fields with enhanced 3D scene understanding ZT Chou, SY Huang, I Liu, YCF Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion SY Huang, HY Hsu, YCF Wang Advances in Neural Information Processing Systems, 2022 | 6 | 2022 |
| 3d-selfcutmix: Self-supervised learning for 3d point cloud analysis YY Xu, YY Ji, SY Huang, ZH Lin, YCF Wang 2022 IEEE International Conference on Image Processing (ICIP), 676-680, 2022 | 2 | 2022 |
| TPA3D: Triplane Attention for Fast Text-to-3D Generation BS Wu, HE Chen, SY Huang, YCF Wang European Conference on Computer Vision, 438-455, 2024 | | 2024 |
Yu-Chiang Frank WangNational Taiwan University & NVIDIAOverená e-mailová adresa na: ntu.edu.tw