Aoran Xiao
Orcid: 0000-0002-2956-0613
According to our database1,
Aoran Xiao
authored at least 39 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., October, 2024
IEEE Trans. Multim., 2024
CoRR, 2024
Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Multim., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Pattern Recognit., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Scale variance minimization for unsupervised domain adaptation in image segmentation.
Pattern Recognit., 2021
SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation.
CoRR, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation.
CoRR, 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2019
2018
Sensors, 2018
An Indoor Positioning System Based on Static Objects in Large Indoor Scenes by Using Smartphone Cameras.
Sensors, 2018
Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-Free.
Sensors, 2018
Proceedings of the 2018 Ubiquitous Positioning, 2018
2017
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017