| Pyramid point cloud transformer for large-scale place recognition L Hui, H Yang, M Cheng, J Xie, J Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 129 | 2021 |
| Sspc-net: Semi-supervised semantic 3d point cloud segmentation network M Cheng, L Hui, J Xie, J Yang Proceedings of the AAAI conference on artificial intelligence 35 (2), 1140-1147, 2021 | 101 | 2021 |
| 3d siamese voxel-to-bev tracker for sparse point clouds L Hui, L Wang, M Cheng, J Xie, J Yang Advances in Neural Information Processing Systems 34, 28714-28727, 2021 | 86 | 2021 |
| Progressive point cloud deconvolution generation network L Hui, R Xu, J Xie, J Qian, J Yang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 84 | 2020 |
| Efficient 3D point cloud feature learning for large-scale place recognition L Hui, M Cheng, J Xie, J Yang, MM Cheng IEEE Transactions on Image Processing 31, 1258-1270, 2022 | 82 | 2022 |
| 3d siamese transformer network for single object tracking on point clouds L Hui, L Wang, L Tang, K Lan, J Xie, J Yang European conference on computer vision, 293-310, 2022 | 72 | 2022 |
| Ra-depth: Resolution adaptive self-supervised monocular depth estimation M He, L Hui, Y Bian, J Ren, J Xie, J Yang European Conference on Computer Vision, 565-581, 2022 | 68 | 2022 |
| Reliable inlier evaluation for unsupervised point cloud registration Y Shen, L Hui, H Jiang, J Xie, J Yang Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2198-2206, 2022 | 54 | 2022 |
| Unsupervised multi-domain image translation with domain-specific encoders/decoders L Hui, X Li, J Chen, H He, J Yang 2018 24th International Conference on Pattern Recognition (ICPR), 2044-2049, 2018 | 47 | 2018 |
| Superpoint network for point cloud oversegmentation L Hui, J Yuan, M Cheng, J Xie, X Zhang, J Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 40 | 2021 |
| 3d geometry-aware deformable gaussian splatting for dynamic view synthesis Z Lu, X Guo, L Hui, T Chen, M Yang, X Tang, F Zhu, Y Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 35 | 2024 |
| Self-supervised 3d scene flow estimation guided by superpoints Y Shen, L Hui, J Xie, J Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 35 | 2023 |
| Sspu-net: Self-supervised point cloud upsampling via differentiable rendering Y Zhao, L Hui, J Xie Proceedings of the 29th ACM international conference on multimedia, 2214-2223, 2021 | 33 | 2021 |
| Attention-based neural network for traffic sign detection J Zhang, L Hui, J Lu, Y Zhu 2018 24th International Conference on Pattern Recognition (ICPR), 1839-1844, 2018 | 29 | 2018 |
| Cascaded non-local neural network for point cloud semantic segmentation M Cheng, L Hui, J Xie, J Yang, H Kong 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 27 | 2020 |
| Domain disentangled generative adversarial network for zero-shot sketch-based 3d shape retrieval R Xu, Z Han, L Hui, J Qian, J Xie Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2902-2910, 2022 | 26 | 2022 |
| Learning superpoint graph cut for 3d instance segmentation L Hui, L Tang, Y Shen, J Xie, J Yang Advances in Neural Information Processing Systems 35, 36804-36817, 2022 | 16 | 2022 |
| Learning inter-superpoint affinity for weakly supervised 3d instance segmentation L Tang, L Hui, J Xie Proceedings of the Asian Conference on Computer Vision, 1282-1297, 2022 | 16 | 2022 |
| Inter-Class Angular Loss for Convolutional Neural Networks L Hui, X Li, C Gong, M Fang, JT Zhou, J Yang Proceedings of the AAAI Conference on Artificial Intelligence 33, 3894-3901, 2019 | 16 | 2019 |
| Generative subgraph contrast for self-supervised graph representation learning Y Han, L Hui, H Jiang, J Qian, J Xie European Conference on Computer Vision, 91-107, 2022 | 15 | 2022 |
Jin XieNanjing University, ChinaВерификована је имејл адреса на nju.edu.cn
