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