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20242026
most citedGM-DF: Generalized Multi-Scenario Deepfake Detection

6 citations · 7 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm Presentation Attack Detection

Yingjie Ma, Zitong Yu, Wei Jia +2

Existing palm presentation attack detection (PAD) datasets are often limited by static imagery, restricted acquisition conditions, or insufficient multimodal video data, hindering…

cs.CV2026

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection

Yaning Zhang, Jiao Wu, Zan Gao +1

The challenge of fair deepfake detection (FDD) has attracted increasing attention. Existing fairness-enhanced detectors often suffer from suboptimal generalization to unseen manipu…

cs.CV2026

GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection

Yaning Zhang, Linlin Shen, Zitong Yu +2

Current deepfake attribution or deepfake detection works tend to exhibit poor generalization to novel generative methods due to the limited exploration in visual modalities alone.…

cs.CV2026

DinoDental: Benchmarking DINOv3 as a Unified Vision Encoder for Dental Image Analysis

Kun Tang, Xinquan Yang, Mianjie Zheng +6

The scarcity and high cost of expert annotations in dental imaging present a significant challenge for the development of AI in dentistry. DINOv3, a state-of-the-art, self-supervis…

cs.CV2026

ForensicZip: More Tokens are Better but Not Necessary in Forensic Vision-Language Models

Yingxin Lai, Zitong Yu, Jun Wang +3

Multimodal Large Language Models (MLLMs) enable interpretable multimedia forensics by generating textual rationales for forgery detection. However, processing dense visual sequence…