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20182026
most citedAn Anti-fraud System for Car Insurance Claim Based on Visual Evidence

27 citations · 30 across the 6 of their papers we have counts for

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cs.CV2026

LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models

Zhiyuan Jiang, Weihao Hong, Xinlei Guan +8

Vision-Language Models (VLMs) are increasingly deployed in settings where reliable visual grounding carries operational consequences, yet their behavior under progressively coerciv…

cs.CV2026

Toward Accountable AI-Generated Content on Social Platforms: Steganographic Attribution and Multimodal Harm Detection

Xinlei Guan, David Arosemena, Tejaswi Dhandu +7

The rapid growth of generative AI has introduced new challenges in content moderation and digital forensics. In particular, benign AI-generated images can be paired with harmful or…

cs.CV2026

Tone Matters: The Impact of Linguistic Tone on Hallucination in VLMs

Weihao Hong, Zhiyuan Jiang, Bingyu Shen +4

Vision-Language Models (VLMs) are increasingly used in safety-critical applications that require reliable visual grounding. However, these models often hallucinate details that are…

cs.CV2021★ 3 cited

A Study of the Human Perception of Synthetic Faces

Bingyu Shen, Brandon RichardWebster, Alice O'Toole +2

Advances in face synthesis have raised alarms about the deceptive use of synthetic faces. Can synthetic identities be effectively used to fool human observers? In this paper, we in…

cs.CV2019

Measuring Human Perception to Improve Handwritten Document Transcription

Samuel Grieggs, Bingyu Shen, Greta Rauch +5

The subtleties of human perception, as measured by vision scientists through the use of psychophysics, are important clues to the internal workings of visual recognition. For insta…

cs.CV2018★ 27 cited

An Anti-fraud System for Car Insurance Claim Based on Visual Evidence

Pei Li, Bingyu Shen, Weishan Dong

Automatically scene understanding using machine learning algorithms has been widely applied to different industries to reduce the cost of manual labor. Nowadays, insurance companie…