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Jianzhong He
Jianzhong He
huawei
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Bi-directional cascade network for perceptual edge detection
J He, S Zhang, M Yang, Y Shan, T Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
3272019
BDCN: Bi-directional cascade network for perceptual edge detection
J He, S Zhang, M Yang, Y Shan, T Huang
IEEE transactions on pattern analysis and machine intelligence 44 (1), 100-113, 2020
1062020
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
822021
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
792021
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
622021
Atso: Asynchronous teacher-student optimization for semi-supervised image segmentation
X Huo, L Xie, J He, Z Yang, W Zhou, H Li, Q Tian
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
552021
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
402021
Geometric anchor correspondence mining with uncertainty modeling for universal domain adaptation
L Chen, Y Lou, J He, T Bai, M Deng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
312022
Can semantic labels assist self-supervised visual representation learning?
L Wei, L Xie, J He, X Zhang, Q Tian
Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2642-2650, 2022
252022
Evidential neighborhood contrastive learning for universal domain adaptation
L Chen, Y Lou, J He, T Bai, M Deng
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6258-6267, 2022
232022
Mutual nearest neighbor contrast and hybrid prototype self-training for universal domain adaptation
L Chen, Q Du, Y Lou, J He, T Bai, M Deng
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6248-6257, 2022
132022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
J Li, Y Bai, Y Lou, X Linghu, J He, S Xu, T Bai
arXiv preprint arXiv:2207.01036, 2022
22022
Switchable representation learning framework with self-compatibility
S Wu, Y Bai, Y Lou, X Linghu, J He, LY Duan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
Bayesian evidential learning for few-shot classification
X Linghu, Y Bai, Y Lou, S Wu, J Li, J He, T Bai
arXiv preprint arXiv:2207.13137, 2022
12022
Shift Pruning: Equivalent Weight Pruning for CNN via Differentiable Shift Operator
T Niu, Y Lou, Y Teng, J He, Y Liu
Proceedings of the 31st ACM International Conference on Multimedia, 5445-5454, 2023
2023
EAGER: Edge-Aided imaGe undERstanding System
J He, X Liu, S Zhang
Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019
2019
Supplementary of “Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation”
L Chen, Y Lou, J He, T Bai, M Deng
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
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Articles 1–19