| Perturbed progressive learning for semisupervised defect segmentation Y Wu, M Xing, Y Zhang, Y Xie, Z Wu, Y Qu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 9 | 2023 |
| Cross-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation via Bidirectional Fusion-then-Distillation Y Wu, M Xing, Y Zhang, Y Xie, J Fan, Z Shi, Y Qu Proceedings of the 31st ACM International Conference on Multimedia, 490-498, 2023 | 7 | 2023 |
| Clip2uda: Making frozen clip reward unsupervised domain adaptation in 3d semantic segmentation Y Wu, M Xing, Y Zhang, Y Xie, Y Qu Proceedings of the 32nd ACM International Conference on Multimedia, 8662-8671, 2024 | 3 | 2024 |
| Clip-fsac: Boosting clip for few-shot anomaly classification with synthetic anomalies Z Zuo, Y Wu, B Li, J Dong, Y Zhou, L Zhou, Y Qu, Z Wu Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 3 | 2024 |
| RE-GZSL: Relation Extrapolation for Generalized Zero-Shot Learning Y Wu, X Kong, Y Xie, Y Qu IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 1 | 2024 |
| UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior Y Wu, M Xing, Y Zhang, X Luo, Y Xie, Y Qu Advances in Neural Information Processing Systems 37, 101223-101249, 2025 | | 2025 |
| CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP Z Zuo, J Dong, Y Wu, Y Qu, Z Wu arXiv preprint arXiv:2412.03829, 2024 | | 2024 |
| Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation Y Wu, M Xing, Y Zhang, Y Xie, Y Qu arXiv preprint arXiv:2410.19446, 2024 | | 2024 |
| CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation Z Zuo, J Dong, Y Wu, Y Qu, Z Wu arXiv preprint arXiv:2406.18941, 2024 | | 2024 |
| Image Priors Assisted Pre-training for Point Cloud Shape Analysis Z Li, Y Wu, Y Qu Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 133-145, 2023 | | 2023 |
Yanyun QuXiamen Universityبريد إلكتروني تم التحقق منه على xmu.edu.cn