| 3d point cloud geometry compression on deep learning T Huang, Y Liu Proceedings of the 27th ACM international conference on multimedia, 890-898, 2019 | 158 | 2019 |
| SSC: Semantic scan context for large-scale place recognition L Li, X Kong, X Zhao, T Huang, W Li, F Wen, H Zhang, Y Liu 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 82 | 2021 |
| Rethinking mobile block for efficient attention-based models J Zhang, X Li, J Li, L Liu, Z Xue, B Zhang, Z Jiang, T Huang, Y Wang, ... 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 1389-1400, 2023 | 71 | 2023 |
| RINet: Efficient 3D lidar-based place recognition using rotation invariant neural network L Li, X Kong, X Zhao, T Huang, W Li, F Wen, H Zhang, Y Liu IEEE Robotics and Automation Letters 7 (2), 4321-4328, 2022 | 54 | 2022 |
| RFNet: Recurrent forward network for dense point cloud completion T Huang, H Zou, J Cui, X Yang, M Wang, X Zhao, J Zhang, Y Yuan, Y Xu, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 41 | 2021 |
| Semantic segmentation-assisted scene completion for lidar point clouds X Yang, H Zou, X Kong, T Huang, Y Liu, W Li, F Wen, H Zhang 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 26 | 2021 |
| Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM L Li, X Kong, X Zhao, T Huang, Y Liu Autonomous Robots 46 (4), 535-551, 2022 | 16 | 2022 |
| Data-free quantization via mixed-precision compensation without fine-tuning J Chen, S Bai, T Huang, M Wang, G Tian, Y Liu Pattern Recognition 143, 109780, 2023 | 13 | 2023 |
| 3qnet: 3d point cloud geometry quantization compression network T Huang, J Zhang, J Chen, Z Ding, Y Tai, Z Zhang, C Wang, Y Liu ACM Transactions on Graphics (TOG) 41 (6), 1-13, 2022 | 12 | 2022 |
| Up-to-down network: Fusing multi-scale context for 3d semantic scene completion H Zou, X Yang, T Huang, C Zhang, Y Liu, W Li, F Wen, H Zhang 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 12 | 2021 |
| SuperLine3D: Self-supervised line segmentation and description for LiDAR point cloud X Zhao, S Yang, T Huang, J Chen, T Ma, M Li, Y Liu European Conference on Computer Vision, 263-279, 2022 | 11 | 2022 |
| SSC-RS: Elevate LiDAR semantic scene completion with representation separation and BEV fusion J Mei, Y Yang, M Wang, T Huang, X Yang, Y Liu 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 9 | 2023 |
| Multimodal-driven talking face generation via a unified diffusion-based generator C Xu, S Zhu, J Zhu, T Huang, J Zhang, Y Tai, Y Liu arXiv preprint arXiv:2305.02594, 2023 | 9 | 2023 |
| Adaptive recurrent forward network for dense point cloud completion T Huang, H Zou, J Cui, J Zhang, X Yang, L Li, Y Liu IEEE Transactions on Multimedia 25, 5903-5915, 2022 | 7 | 2022 |
| Multimodal-driven talking face generation, face swapping, diffusion model C Xu, S Zhu, J Zhu, T Huang, J Zhang, Y Tai, Y Liu arXiv preprint arXiv:2305.02594 2, 2023 | 6 | 2023 |
| Decentralized Riemannian conjugate gradient method on the Stiefel manifold J Chen, H Ye, M Wang, T Huang, G Dai, IW Tsang, Y Liu arXiv preprint arXiv:2308.10547, 2023 | 5 | 2023 |
| Learning to measure the point cloud reconstruction loss in a representation space T Huang, Z Ding, J Zhang, Y Tai, Z Zhang, M Chen, C Wang, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Semantic segmentation-assisted scene completion for lidar point clouds. In 2021 IEEE X Yang, H Zou, X Kong, T Huang, Y Liu, W Li, F Wen, H Zhang RSJ International Conference on Intelligent Robots and Systems (IROS), 3555-3562, 0 | 5 | |
| Resolution-free point cloud sampling network with data distillation T Huang, J Zhang, J Chen, Y Liu, Y Liu European Conference on Computer Vision, 54-70, 2022 | 4 | 2022 |
| Thoughts on the consistency between ricci flow and neural network behavior J Chen, T Huang, W Chen, Y Liu arXiv preprint arXiv:2111.08410, 2021 | 4 | 2021 |
