Zhimin Yuan
Orcid: 0000-0003-4587-8370
According to our database1,
Zhimin Yuan
authored at least 23 papers
between 2007 and 2024.
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Bibliography
2024
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds.
CoRR, 2024
2023
Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., February, 2023
Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023
Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023
Multistage Scene-Level Constraints for Large-Scale Point Cloud Weakly Supervised Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds.
Pattern Recognit., 2022
Local Fusion Attention Network for Semantic Segmentation of Building Facade Point Clouds.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
IEEE J. Biomed. Health Informatics, 2021
PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning.
ACM Trans. Intell. Syst. Technol., 2021
HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images.
Comput. Methods Programs Biomed., 2021
Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network.
Proceedings of the Image and Graphics - 11th International Conference, 2021
2020
Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest.
IEEE J. Biomed. Health Informatics, 2020
An Improved Multi-Satellite Method for Evaluating Real-Time BDS Satellite Clock Offset Products.
Remote. Sens., 2020
Unsupervised Mitochondria Segmentation in EM Images via Domain Adaptive Multi-Task Learning.
IEEE J. Sel. Top. Signal Process., 2020
KSII Trans. Internet Inf. Syst., 2020
EM-Net: Centerline-Aware Mitochondria Segmentation in EM Images Via Hierarchical View-Ensemble Convolutional Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Adversarial-Prediction Guided Multi-Task Adaptation for Semantic Segmentation of Electron Microscopy Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network.
CoRR, 2019
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Automatic Segmentation of Mitochondria from EM Images via Hierarchical Context Forest.
Proceedings of the Recent Advances in Data Science, 2019
2007
Proceedings of the Advanced Parallel Processing Technologies, 7th International Symposium, 2007