| Multi-source domain adaptation with collaborative learning for semantic segmentation J He, X Jia, S Chen, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 79 | 2021 |
| Improving remote sensing scene classification by integrating global-context and local-object features D Zeng, S Chen, B Chen, S Li Remote Sensing 10 (5), 734, 2018 | 79 | 2018 |
| Multi-target domain adaptation with collaborative consistency learning T Isobe, X Jia, S Chen, J He, Y Shi, J Liu, H Lu, S Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 78 | 2021 |
| Semi-supervised domain adaptation based on dual-level domain mixing for semantic segmentation S Chen, X Jia, J He, Y Shi, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 62 | 2021 |
| Unsupervised image super-resolution with an indirect supervised path S Chen, Z Han, E Dai, X Jia, Z Liu, L Xing, X Zou, C Xu, J Liu, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 53 | 2020 |
| T-svdnet: Exploring high-order prototypical correlations for multi-source domain adaptation R Li, X Jia, J He, S Chen, Q Hu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 39 | 2021 |
| Related attention network for person re-identification J Liang, D Zeng, S Chen, Q Tian 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 366-372, 2019 | 3 | 2019 |
| Supplemental Material for “Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation” S Chen, X Jia, J He, Y Shi, J Liu | | |
| Supplementary Material for Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation J He, X Jia, S Chen, J Liu | | |
Xu JiaAssociate Professor at Dalian University of TechnologyVerified email at dlut.edu.cn
