Aoran Xiao

Orcid: 0000-0002-2956-0613

According to our database1, Aoran Xiao authored at least 42 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
S2Match: Self-paced sampling for data-limited semi-supervised learning.
Pattern Recognit., 2025

2024
A Survey of Label-Efficient Deep Learning for 3D Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training.
IEEE Trans. Intell. Transp. Syst., October, 2024

Domain Adaptive LiDAR Point Cloud Segmentation With 3D Spatial Consistency.
IEEE Trans. Multim., 2024

Foundation Models for Remote Sensing and Earth Observation: A Survey.
CoRR, 2024

Segment Anything with Multiple Modalities.
CoRR, 2024

Conditional Tuning Network for Few-Shot Adaptation of Segmentation Anything Model.
CoRR, 2024

CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model.
Proceedings of the Computer Vision - ECCV 2024, 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

Bridging Semantic Gaps for Language-Supervised Semantic Segmentation.
CoRR, 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

FAC: 3D Representation Learning via Foreground Aware Feature Contrast.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection.
IEEE Trans. Multim., 2022

Coprime Sensing for Airborne Array Interferometric SAR Tomography.
IEEE Trans. Geosci. Remote. Sens., 2022

Multi-level adversarial network for domain adaptive semantic segmentation.
Pattern Recognit., 2022

Unsupervised Representation Learning for Point Clouds: A Survey.
CoRR, 2022

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Masked Generative Adversarial Networks are Data-Efficient Generation Learners.
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

Bi-level Feature Alignment for Versatile Image Translation and Manipulation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks.
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

Bi-level Feature Alignment for Versatile Image Translation and Manipulation.
CoRR, 2021

Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment.
CoRR, 2021

MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation.
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

Domain Adaptive Video Segmentation via Temporal Consistency Regularization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-View Regularization for Domain Adaptive Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FSDR: Frequency Space Domain Randomization for Domain Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Spatial-Aware GAN for Unsupervised Person Re-identification.
CoRR, 2019

2018
Super-Resolution for "Jilin-1" Satellite Video Imagery via a Convolutional Network.
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

Positioning in Large Indoor Spaces using Smartphone Camera based on Static Objects.
Proceedings of the 2018 Ubiquitous Positioning, 2018

2017
Sparse coding for super-resolution via K-means classification.
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017


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