| 3d point cloud geometry compression on deep learning T Huang, Y Liu Proceedings of the 27th ACM international conference on multimedia, 890-898, 2019 | 140 | 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 | 70 | 2021 |
| 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 | 44 | 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 | 38 | 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 | 24 | 2023 |
| Rethinking mobile block for efficient neural models J Zhang, X Li, J Li, L Liu, Z Xue, B Zhang, Z Jiang, T Huang, Y Wang, ... arXiv preprint arXiv:2301.01146 4, 2023 | 22 | 2023 |
| 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 | 20 | 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 | 11 | 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 | 10 | 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 CoRR 2023, 1-4, 2023 | 8 | 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 | 8 | 2022 |
| 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 | 8 | 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 | 8 | 2021 |
| 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, 2023 | 6 | 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, 2022 | 6 | 2022 |
| 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 | 4 | 2023 |
| 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 |
| Learning to train a point cloud reconstruction network without matching T Huang, X Yang, J Zhang, J Cui, H Zou, J Chen, X Zhao, Y Liu European Conference on Computer Vision, 179-194, 2022 | 3 | 2022 |
| LessNet: Lightweight and efficient semantic segmentation for large‐scale point clouds G Feng, W Li, X Zhao, X Yang, X Kong, TX Huang, J Cui IET Cyber‐Systems and Robotics 4 (2), 107-115, 2022 | 3 | 2022 |
