activity
20242026
collaborators

6 papers

cs.CV2026

Ghosts Beneath Textures: Texture-Relation Cues for Cross-Paradigm AI-Generated Image Detection

Haoyu Wang, Yiming Qin, Zhongjie Ba +4

AI-generated images have proliferated rapidly, motivating extensive research. Most existing AI-generated image detectors are developed and evaluated under image-free generation par…

cs.CV2026

MacTok: Robust Continuous Tokenization for Image Generation

Hengyu Zeng, Xin Gao, Guanghao Li +5

Continuous image tokenizers enable efficient visual generation, and those based on variational frameworks can learn smooth, structured latent representations through KL regularizat…

cs.CV2026

PromptForge-350k: A Large-Scale Dataset and Contrastive Framework for Prompt-Based AI Image Forgery Localization

Jianpeng Wang, Haoyu Wang, Baoying Chen +4

The rapid democratization of prompt-based AI image editing has recently exacerbated the risks associated with malicious content fabrication and misinformation. However, forgery loc…

cs.CV2025

PAD-F: Prior-Aware Debiasing Framework for Long-Tailed X-ray Prohibited Item Detection

Haoyu Wang, Renshuai Tao, Wei Wang +1

Detecting prohibited items in X-ray security imagery is a challenging yet crucial task. With the rapid advancement of deep learning, object detection algorithms have been widely ap…

cs.CV2025

DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing

Zixiang Li, Haoyu Wang, Wei Wang +3

Diffusion models have achieved remarkable success in image generation and editing tasks. Inversion within these models aims to recover the latent noise representation for a real or…

cs.CV2024

Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?

Renshuai Tao, Haoyu Wang, Yuzhe Guo +5

To detect prohibited items in challenging categories, human inspectors typically rely on images from two distinct views (vertical and side). Can AI detect prohibited items from dua…