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Ying Li

8 papers indexed

arxivcs.CV2026-07-23

Geo3R: Mitigating Spatial Reasoning Hallucination in Multimodal Large Language Models

Mingyu Wang, Weilin Jin, Wenbo Li, Haoyang Huang, Tong Jia, Ying Li

Despite remarkable progress in visual understanding, Multimodal Large Language Models (MLLMs) remain prone to hallucinations when reasoning about spatial relationships, often producing judgments that contradict the true 3D structure of the scene. Though several existing works hav…

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arxivcs.CV2026-07-23

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models

Weilin Jin, Mingyu Wang, Wenbo Li, Haoyang Huang, Yifan Wu, Ying Li, et al.

Although Multimodal Large Language Models have achieved strong performance across a wide range of vision-language tasks, they still suffer from hallucinations, where model outputs become inconsistent with the visual content, textual context, or commonsense knowledge. Existing stu…

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openalexbioRxiv (Cold Spring Harbor Laboratory)2026-07-23

Conformational dynamics of exopolysaccharides underlie biofilm matrix mechanics in <i>Vibrio cholerae</i>

Kee-Myoung Nam, Nathan Fowler, Rajan Kandel, Yongqi Zhu, Ying Liu, Yi-Jhen Lai, et al.

Polysaccharides remain the least understood biomacromolecules, particularly in terms of the relationship between their chemical structure and physical properties. On the other hand, polysaccharides often serve as the main structural components in biofilms: surface-attached aggreg…

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arxivcs.CV2026-07-14

RealSkin: Spatio-Spectral Partial Neural Adjoint Maps for Image-to-3D Attribute Transfer

Jing Li, Yawei Luo, Xiangze Meng, Ying Li, Tieru Wu, Rui Ma

Creating photorealistic 3D assets requires bridging the appearance gap between real-world observations and synthetic models. A promising approach is to transfer visual attributes from real images onto synthetic 3D surfaces. Traditional methods struggle with resolution mismatch an…

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arxivcs.CV2026-07-09

Unified Face Attack Detection via Fine-Grained Semantic Guidance

Ning Jiang, Shijie Yu, Dingheng Zeng, Haiyang Yi, Yanhong Liu, Haifeng Shen, et al.

The growing applications of facial recognition systems are accompanied by increasingly diverse security threats. Existing datasets lack detailed textual descriptions of forgery cues, leading most prior methods to treat face attack detection primarily as a visual recognition task.…

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