Chi Harold Liu

papers

861

total citations

papers (13)

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

CVPR 2022arXiv

106

citations

Semantic Concentration for Domain Adaptation

ICCV 2021arXiv

104

citations

Pareto Domain Adaptation

NEURIPS 2021arXiv

citations

CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation

ICCV 2023arXiv

citations

Dynamic Domain Adaptation for Efficient Inference

CVPR 2021arXiv

citations

CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation

CVPR 2025arXiv

citations

Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation

CVPR 2021

citations

Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation

ECCV 2022

citations

On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer

CVPR 2023

citations

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm

ICCV 2023

citations

Chi Harold Liu

papers (13)

Causality Inspired Representation Learning for Domain Generalization

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

Transferable Semantic Augmentation for Domain Adaptation

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

Semantic Concentration for Domain Adaptation

Pareto Domain Adaptation

CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation

Dynamic Domain Adaptation for Efficient Inference

CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation

Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation

Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation

On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm

papers (13)

Causality Inspired Representation Learning for Domain Generalization

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

Transferable Semantic Augmentation for Domain Adaptation

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

Semantic Concentration for Domain Adaptation

Pareto Domain Adaptation

CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation

Dynamic Domain Adaptation for Efficient Inference

CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation

Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation

Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation

On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm