Xiaopeng Hong

papers

1,326

total citations

papers (19)

Few-Shot Class-Incremental Learning

CVPR 2020arXiv

509

citations

S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning

NEURIPS 2022arXiv

312

citations

Boosting Crowd Counting via Multifaceted Attention

CVPR 2022arXiv

204

citations

Image-to-Image Translation via Hierarchical Style Disentanglement

CVPR 2021arXiv

149

citations

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection

ECCV 2024arXiv

citations

Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation

ECCV 2024arXiv

citations

OpenSDI: Spotting Diffusion-Generated Images in the Open World

CVPR 2025arXiv

citations

Specifying What You Know or Not for Multi-Label Class-Incremental Learning

AAAI 2025arXiv

citations

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing

AAAI 2025arXiv

citations

DCA: Dividing and Conquering Amnesia in Incremental Object Detection

AAAI 2025arXiv

citations

Towards a Universal Model for Cross-Dataset Crowd Counting

ICCV 2021

citations

Noise-Aware Fully Webly Supervised Object Detection

CVPR 2020

citations

Topology-Preserving Class-Incremental Learning

ECCV 2020

citations

Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models

ICCV 2021

citations

Free Lunch Enhancements for Multi-modal Crowd Counting

CVPR 2025

citations

Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization

AAAI 2025

citations

Xiaopeng Hong

papers (19)

Few-Shot Class-Incremental Learning

S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning

Boosting Crowd Counting via Multifaceted Attention

Image-to-Image Translation via Hierarchical Style Disentanglement

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer

Multi-modal Crowd Counting via a Broker Modality

T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting

Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation

OpenSDI: Spotting Diffusion-Generated Images in the Open World

Specifying What You Know or Not for Multi-Label Class-Incremental Learning

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing

DCA: Dividing and Conquering Amnesia in Incremental Object Detection

Towards a Universal Model for Cross-Dataset Crowd Counting

Noise-Aware Fully Webly Supervised Object Detection

Topology-Preserving Class-Incremental Learning

Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models

Free Lunch Enhancements for Multi-modal Crowd Counting

Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization

papers (19)

Few-Shot Class-Incremental Learning

S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning

Boosting Crowd Counting via Multifaceted Attention

Image-to-Image Translation via Hierarchical Style Disentanglement

GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer

Multi-modal Crowd Counting via a Broker Modality

T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting

Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation

OpenSDI: Spotting Diffusion-Generated Images in the Open World

Specifying What You Know or Not for Multi-Label Class-Incremental Learning

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing

DCA: Dividing and Conquering Amnesia in Incremental Object Detection

Towards a Universal Model for Cross-Dataset Crowd Counting

Noise-Aware Fully Webly Supervised Object Detection

Topology-Preserving Class-Incremental Learning

Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models

Free Lunch Enhancements for Multi-modal Crowd Counting

Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization