Dayan Guan

papers

1,391

total citations

papers (13)

FSDR: Frequency Space Domain Randomization for Domain Generalization

CVPR 2021arXiv

277

citations

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data

NEURIPS 2021arXiv

270

citations

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds

CVPR 2023arXiv

citations

Cross-View Regularization for Domain Adaptive Panoptic Segmentation

CVPR 2021arXiv

citations

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation

CVPR 2022arXiv

citations

Domain Adaptive Video Segmentation via Temporal Consistency Regularization

ICCV 2021arXiv

citations

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

ECCV 2022arXiv

citations

Masked Generative Adversarial Networks are Data-Efficient Generation Learners

NEURIPS 2022

citations

Dayan Guan

papers (13)

FSDR: Frequency Space Domain Randomization for Domain Generalization

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks

Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Efficient Test-Time Adaptation of Vision-Language Models

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds

Cross-View Regularization for Domain Adaptive Panoptic Segmentation

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation

Domain Adaptive Video Segmentation via Temporal Consistency Regularization

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

Masked Generative Adversarial Networks are Data-Efficient Generation Learners

papers (13)

FSDR: Frequency Space Domain Randomization for Domain Generalization

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks

Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Efficient Test-Time Adaptation of Vision-Language Models

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds

Cross-View Regularization for Domain Adaptive Panoptic Segmentation

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation

Domain Adaptive Video Segmentation via Temporal Consistency Regularization

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

Masked Generative Adversarial Networks are Data-Efficient Generation Learners