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Ruijia Xu
Ruijia Xu
Unknown affiliation
Verified email at connect.ust.hk
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Year
Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation
R Xu, G Li, J Yang, L Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
5662019
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
R Xu, Z Chen, W Zuo, J Yan, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
4542018
Multi-label image recognition by recurrently discovering attentional regions
Z Wang, T Chen, G Li, R Xu, L Lin
Proceedings of the IEEE International Conference on Computer Vision, 464-472, 2017
3292017
Clusternet: Deep hierarchical cluster network with rigorously rotation-invariant representation for point cloud analysis
C Chen, G Li, R Xu, T Chen, M Wang, L Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1832019
An adversarial perturbation oriented domain adaptation approach for semantic segmentation
J Yang, R Xu, R Li, X Qi, X Shen, G Li, L Lin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12613 …, 2020
1122020
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
G Zhao, G Li, R Xu, L Lin
European Conference on Computer Vision, 86-102, 2020
1062020
Black-box prompt learning for pre-trained language models
S Diao, Z Huang, R Xu, X Li, Y Lin, X Zhou, T Zhang
arXiv preprint arXiv:2201.08531, 2022
612022
Taming pre-trained language models with n-gram representations for low-resource domain adaptation
S Diao, R Xu, H Su, Y Jiang, Y Song, T Zhang
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
482021
Exploring geometric consistency for monocular 3d object detection
Q Lian, B Ye, R Xu, W Yao, T Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
232022
Unsupervised domain adaptation: An adaptive feature norm approach
R Xu, G Li, J Yang, L Lin
arXiv preprint arXiv:1811.07456, 2018
182018
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories
S Diao, T Xu, R Xu, J Wang, T Zhang
arXiv preprint arXiv:2306.05406, 2023
162023
Geometry-aware data augmentation for monocular 3D object detection
Q Lian, B Ye, R Xu, W Yao, T Zhang
arXiv preprint arXiv:2104.05858 2 (4), 2021
142021
A Robustly and Effectively Optimized Pretraining Approach for Masked Autoencoder
R Xu, Y Ge, K Yi, X XU, Y Wang, YC Chen, H Chen, Y Shan
2022
Supplementary Material for “Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift”
R Xu, Z Chen, W Zuo, J Yan, L Lin
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