Aoran Xiao

Orcid: 0000-0002-2956-0613

According to our database1, Aoran Xiao authored at least 39 papers between 2017 and 2024.

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

Timeline

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Bibliography

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

Segment Anything with Multiple Modalities.
CoRR, 2024

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

Bridging Semantic Gaps for Language-Supervised Semantic Segmentation.
CoRR, 2023

A Survey of Label-Efficient Deep Learning for 3D Point Clouds.
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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