| Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data MA Uy, QH Pham, BS Hua, T Nguyen, SK Yeung Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 979 | 2019 |
| Pointwise Convolutional Neural Networks BS Hua, MK Tran, SK Yeung Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 714 | 2018 |
| Shellnet: Efficient point cloud convolutional neural networks using concentric shells statistics Z Zhang, BS Hua, SK Yeung Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 466 | 2019 |
| SceneNN: A Scene Meshes Dataset with aNNotations BS Hua, QH Pham, DT Nguyen, MK Tran, LF Yu, SK Yeung 3D Vision (3DV), 2016 Fourth International Conference on, 92-101, 2016 | 385 | 2016 |
| JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields QH Pham, DT Nguyen, BS Hua, G Roig, SK Yeung CVPR, 2019 | 260 | 2019 |
| Rotation invariant convolutions for 3d point clouds deep learning Z Zhang, BS Hua, DW Rosen, SK Yeung 2019 International conference on 3d vision (3DV), 204-213, 2019 | 194 | 2019 |
| HyperInverter: Improving StyleGAN Inversion via Hypernetwork TM Dinh, AT Tran, R Nguyen, BS Hua CVPR 2022, 2022 | 152 | 2022 |
| A field model for repairing 3d shapes DT Nguyen, BS Hua, K Tran, QH Pham, SK Yeung Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 132 | 2016 |
| Language-driven synthesis of 3D scenes from scene databases R Ma, AG Patil, M Fisher, M Li, S Pirk, BS Hua, SK Yeung, X Tong, ... ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018 | 117 | 2018 |
| Real-time progressive 3D semantic segmentation for indoor scenes QH Pham, BS Hua, T Nguyen, SK Yeung 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1089-1098, 2019 | 97 | 2019 |
| Point-set Distances for Learning Representations of 3D Point Clouds T Nguyen, QH Pham, T Le, T Pham, N Ho, BS Hua International Conference on Computer Vision (ICCV), 2021 | 84 | 2021 |
| LCD: Learned Cross-Domain Descriptors for 2D-3D Matching QH Pham, MA Uy, BS Hua, DT Nguyen, G Roig, SK Yeung Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 73 | 2020 |
| Intrinsic Image Decomposition Using a Sparse Representation of Reflectance L Shen, C Yeo, BS Hua Transactions on Pattern Analysis and Machine Intelligence, 2013 | 67 | 2013 |
| Minimal Adversarial Examples for Deep Learning on 3D Point Clouds J Kim, BS Hua, DT Nguyen, SK Yeung International Conference on Computer Vision (ICCV), 2021 | 66 | 2021 |
| Network Pruning That Matters: A Case Study on Retraining Variants DH Le, BS Hua International Conference on Learning Representations (ICLR), 2021 | 58 | 2021 |
| A robust 3d-2d interactive tool for scene segmentation and annotation DT Nguyen, BS Hua, LF Yu, SK Yeung TVCG, 2017 | 58 | 2017 |
| ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution TD Ngo, BS Hua, K Nguyen CVPR 2023, 2023 | 56 | 2023 |
| RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Z Zhang, BS Hua, SK Yeung International Journal of Computer Vision (IJCV), 2022 | 53 | 2022 |
| Global Context Aware Convolutions for 3D Point Cloud Understanding Z Zhang, BS Hua, W Chen, Y Tian, SK Yeung International Conference on 3D Vision (3DV) 2020, 2020 | 53 | 2020 |
| POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples DH Le, KD Nguyen, K Nguyen, QH Tran, R Nguyen, BS Hua Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 47 | 2021 |
Sai-Kit YeungIntegrative Systems and Design, Hong Kong University of Science and Technologyust.hk의 이메일 확인됨