Luping Zhou

papers

603

total citations

papers (23)

METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens

CVPR 2023arXiv

153

citations

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation

CVPR 2023arXiv

124

citations

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

CVPR 2023arXiv

citations

Improving Auto-Augment via Augmentation-Wise Weight Sharing

NEURIPS 2020arXiv

citations

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation

CVPR 2023arXiv

citations

Learning Partial Correlation Based Deep Visual Representation for Image Classification

CVPR 2023arXiv

citations

RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning

ECCV 2022arXiv

citations

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

AAAI 2024arXiv

citations

ReDro: Efficiently Learning Large-sized SPD Visual Representation

ECCV 2020

citations

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning

ICCV 2023arXiv

citations

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

AAAI 2024arXiv

citations

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models

ICCV 2023arXiv

citations

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels

CVPR 2025arXiv

citations

TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances

AAAI 2025arXiv

citations

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

ICCV 2025arXiv

citations

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class

NEURIPS 2022

citations

A Self-Boosting Framework for Automated Radiographic Report Generation

CVPR 2021

citations

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval

ICCV 2023

citations

DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning

CVPR 2022

citations

Noise-Aware Image Captioning with Progressively Exploring Mismatched Words

AAAI 2024

citations

Luping Zhou

papers (23)

METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

Improving Auto-Augment via Augmentation-Wise Weight Sharing

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation

Neural Vector Fields: Implicit Representation by Explicit Learning

Towards Semi-supervised Learning with Non-random Missing Labels

Learning Partial Correlation Based Deep Visual Representation for Image Classification

RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

ReDro: Efficiently Learning Large-sized SPD Visual Representation

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels

TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class

A Self-Boosting Framework for Automated Radiographic Report Generation

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval

DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning

Noise-Aware Image Captioning with Progressively Exploring Mismatched Words

papers (23)

METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

Improving Auto-Augment via Augmentation-Wise Weight Sharing

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation

Neural Vector Fields: Implicit Representation by Explicit Learning

Towards Semi-supervised Learning with Non-random Missing Labels

Learning Partial Correlation Based Deep Visual Representation for Image Classification

RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

ReDro: Efficiently Learning Large-sized SPD Visual Representation

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels

TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class

A Self-Boosting Framework for Automated Radiographic Report Generation

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval

DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning

Noise-Aware Image Captioning with Progressively Exploring Mismatched Words