| Geonet: Geometric neural network for joint depth and surface normal estimation X Qi, R Liao, Z Liu, R Urtasun, J Jia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 402 | 2018 |
| Global texture enhancement for fake face detection in the wild Z Liu, X Qi, PHS Torr Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 309 | 2020 |
| Augmented feedback in semantic segmentation under image level supervision X Qi, Z Liu, J Shi, H Zhao, J Jia Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 163 | 2016 |
| One thing one click: A self-training approach for weakly supervised 3d semantic segmentation Z Liu, X Qi, CW Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 145 | 2021 |
| Towards implicit text-guided 3d shape generation Z Liu, Y Wang, X Qi, CW Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 94 | 2022 |
| Mgfn: Magnitude-contrastive glance-and-focus network for weakly-supervised video anomaly detection Y Chen, Z Liu, B Zhang, W Fok, X Qi, YC Wu Proceedings of the AAAI conference on artificial intelligence 37 (1), 387-395, 2023 | 70 | 2023 |
| Geonet++: Iterative geometric neural network with edge-aware refinement for joint depth and surface normal estimation X Qi, Z Liu, R Liao, PHS Torr, R Urtasun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 969-984, 2020 | 61 | 2020 |
| 3d-to-2d distillation for indoor scene parsing Z Liu, X Qi, CW Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 58 | 2021 |
| ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation Z Liu, P Dai, R Li, X Qi, CW Fu ICLR 2023 Spotlight, 2022 | 33 | 2022 |
| Twist: Two-way inter-label self-training for semi-supervised 3d instance segmentation R Chu, X Ye, Z Liu, X Tan, X Qi, CW Fu, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 26 | 2022 |
| 3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis X Qi, Z Liu, Q Chen, J Jia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 26 | 2019 |
| Texture generation on 3d meshes with point-uv diffusion X Yu, P Dai, W Li, L Ma, Z Liu, X Qi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 25 | 2023 |
| Real-time sign language recognition with guided deep convolutional neural networks Z Liu, F Huang, GWL Tang, FYB Sze, J Qin, X Wang, Q Xu Proceedings of the 2016 Symposium on Spatial User Interaction, 187-187, 2016 | 16 | 2016 |
| Sparse2Dense: Learning to densify 3d features for 3d object detection T Wang, X Hu, Z Liu, CW Fu Advances in Neural Information Processing Systems 35, 38533-38545, 2022 | 15 | 2022 |
| MEN: Mutual enhancement networks for sign language recognition and education Z Liu, L Pang, X Qi IEEE Transactions on Neural Networks and Learning Systems 35 (1), 311-325, 2022 | 13 | 2022 |
| Self-boosted gesture interactive system with ST-Net Z Liu, X Qi, L Pang Proceedings of the 26th ACM international conference on Multimedia, 145-153, 2018 | 11 | 2018 |
| Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation J Hu, KH Hui, Z Liu, R Li, CW Fu ACM TOG, 2023 | 8 | 2023 |
| Mining medical records with a klipi multi-dimensional hawkes model Y Zhao, X Qi, Z Liu, Y Zhang, T Zheng KDD 2014 Workshop on Health Informatics, 2014 | 6 | 2014 |
| You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding Z Liu, X Qi, CW Fu arXiv preprint arXiv:2303.14727, 2023 | 5 | 2023 |
| Command-driven articulated object understanding and manipulation R Chu, Z Liu, X Ye, X Tan, X Qi, CW Fu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Xiaojuan QiAssistant Professor, The University of Hong KongVerified email at eee.hku.hk
