Yahong Han

papers

315

total citations

papers (14)

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

ICCV 2021arXiv

127

citations

Universal-Prototype Enhancing for Few-Shot Object Detection

ICCV 2021arXiv

105

citations

Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal

NEURIPS 2022arXiv

citations

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization

CVPR 2024arXiv

citations

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

AAAI 2024arXiv

citations

Visual Consensus Prompting for Co-Salient Object Detection

CVPR 2025arXiv

citations

Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection

CVPR 2025arXiv

citations

Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning

NEURIPS 2025arXiv

citations

Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation

ICCV 2025

citations

Polishing Decision-Based Adversarial Noise With a Customized Sampling

CVPR 2020

citations

Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios

ICCV 2025arXiv

citations

Yahong Han

papers (14)

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

Universal-Prototype Enhancing for Few-Shot Object Detection

Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Visual Consensus Prompting for Co-Salient Object Detection

Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection

Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning

Extract and Merge: Superpixel Segmentation with Regional Attributes

Reliable and Interpretable Personalized Federated Learning

Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition

Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation

Polishing Decision-Based Adversarial Noise With a Customized Sampling

Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios

papers (14)

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

Universal-Prototype Enhancing for Few-Shot Object Detection

Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Visual Consensus Prompting for Co-Salient Object Detection

Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection

Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning

Extract and Merge: Superpixel Segmentation with Regional Attributes

Reliable and Interpretable Personalized Federated Learning

Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition

Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation

Polishing Decision-Based Adversarial Noise With a Customized Sampling

Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios