Xiaopeng Hong

22

Papers

83

Total Citations

Papers (22)

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

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

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

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

OpenSDI: Spotting Diffusion-Generated Images in the Open World

DCA: Dividing and Conquering Amnesia in Incremental Object Detection

Image-to-Image Translation via Hierarchical Style Disentanglement

Boosting Crowd Counting via Multifaceted Attention

Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement

Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection

Universal Perturbation Attack Against Image Retrieval

Bayesian Loss for Crowd Count Estimation With Point Supervision

Towards a Universal Model for Cross-Dataset Crowd Counting

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

Topology-Preserving Class-Incremental Learning

Noise-Aware Fully Webly Supervised Object Detection

Free Lunch Enhancements for Multi-modal Crowd Counting

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

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

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer

Few-Shot Class-Incremental Learning

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