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20242026
most citedCoarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization

16 citations · 20 across the 29 of their papers we have counts for

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14 papers · 1 filter

cs.CL2025

UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?

Fengjiao Chen, Minhao Jing, Weitao Lu +3

Vision-language large models are moving toward the unification of visual understanding and visual generation tasks. However, whether generation can enhance understanding is still u…

cs.CV2025

Fine-grained Multiple Supervisory Network for Multi-modal Manipulation Detecting and Grounding

Xinquan Yu, Wei Lu, Xiangyang Luo

The task of Detecting and Grounding Multi-Modal Media Manipulation (DGM) is a branch of misinformation detection. Unlike traditional binary classification, it includes complex…

cs.CV2025

Weakly Supervised Multimodal Temporal Forgery Localization via Multitask Learning

Wenbo Xu, Wei Lu, Xiangyang Luo

The spread of Deepfake videos has caused a trust crisis and impaired social stability. Although numerous approaches have been proposed to address the challenges of Deepfake detecti…

cs.CV20252 cited

A Multimodal Deviation Perceiving Framework for Weakly-Supervised Temporal Forgery Localization

Wenbo Xu, Junyan Wu, Wei Lu +2

Current researches on Deepfake forensics often treat detection as a classification task or temporal forgery localization problem, which are usually restrictive, time-consuming, and…

cs.CV2025

Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework

Ziqi Sheng, Junyan Wu, Wei Lu +1

Image forgery localization aims to precisely identify tampered regions within images, but it commonly depends on costly pixel-level annotations. To alleviate this annotation burden…

cs.CV2025

StyleSentinel: Reliable Artistic Copyright Verification via Stylistic Fingerprints

Lingxiao Chen, Liqin Wang, Wei Lu

The versatility of diffusion models in generating customized images has led to unauthorized usage of personal artwork, which poses a significant threat to the intellectual property…