| Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization HM Xu, L Liu, Q Bian, Z Yang Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 78 | 2022 |
| Solving indefinite kernel support vector machine with difference of convex functions programming HM Xu, H Xue, XH Chen, YY Wang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 31 (1), 2017 | 37 | 2017 |
| DETRDistill: A Universal Knowledge Distillation Framework for DETR-families J Chang, S Wang, HM Xu, Z Chen, C Yang, F Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 31 | 2023 |
| Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism Y Shu, B Yu, H Xu, L Liu European Conference on Computer Vision (ECCV) 2022, 2022 | 31 | 2022 |
| Multiple indefinite kernel learning for feature selection H Xue, Y Song, HM Xu Proceedings of International Joint Conference on Artificial Intelligence …, 2017 | 26 | 2017 |
| Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View S Wang, X Zhao, HM Xu, Z Chen, D Yu, J Chang, Z Yang, F Zhao The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023 | 22 | 2023 |
| Progressive Class Semantic Matching for Semi-supervised Text Classification HM Xu, L Liu, E Abbasnejad Annual Conference of the North American Chapter of the Association for …, 2022 | 13 | 2022 |
| A primal perspective for indefinite kernel SVM problem H Xue, H Xu, X Chen, Y Wang Frontiers of Computer Science 14, 349-363, 2020 | 10 | 2020 |
| ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation P Tang, HM Xu, C Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Dual Decision Improves Open-Set Panoptic Segmentation HM Xu, H Chen, L Liu, Y Yin The 33rd British Machine Vision Conference (BMVC) 2022, 2022 | 7* | 2022 |
| Semi-supervised learning via conditional rotation angle estimation HM Xu, L Liu, D Gong 2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021 | 4 | 2021 |
| MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss Y Shu, H Xu, Z Zhou, A Hengel, L Liu arXiv preprint arXiv:2407.04331, 2024 | 3 | 2024 |
| Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors Z Zhou, HM Xu, Y Shu, L Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation Y Lin, H Xu, L Liu, J Zou, JQ Shi 2023 Digital Image Computing: Techniques and Applications (DICTA), 2023 | 2 | 2023 |
| Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning HM Xu, Q Chen, L Wang, L Liu The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), 2024 | | 2024 |
| Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization A Chapman, H Xu, L Liu Digital Image Computing: Techniques & Applications (DICTA) 2024, 2024 | | 2024 |
| Revisiting Open-Set Panoptic Segmentation Y Yin, H Chen, W Zhou, J Deng, H Xu, H Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 6747-6754, 2024 | | 2024 |
| A Simple-but-effective Baseline for Training-free Class-Agnostic Counting Y Lin, H Xu, L Liu, JQ Shi IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025, 2024 | | 2024 |
| Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models HM Xu, L Liu, H Chen, E Abbasnejad, R Felix Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| DETRDistill: A Universal Knowledge Distillation Framework for DETR-families—Supplementary Material— J Chang, S Wang, HM Xu, Z Chen, C Yang, F Zhao | | |
Lingqiao LiuAssociate Professor at the University of Adelaide確認したメール アドレス: adelaide.edu.au
