Ru Zhen — accepted AI-conference papers

2026

Aligning Cross-View Visual Geometries in LVLMs Through Human-Like Reasoning Learning

Yuming Qiao, Liang Luo, Dan Meng, Yifan Yang, Qingyuan Wang, Juntuo Wang +5

AAAI 2026technical

Spatial understanding is a critical capability for LVLMs (Large Vision-Language Models) to advance embodied AI applications. Existing works primarily focus on enhancing spatial understanding within a single frame, i.e., injecting 3D spatial concepts into LVLMs under single coordinate system. However

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2025

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator

Fan Yang, Ru Zhen, Jianing Wang, Yanhao Zhang, Haoxiang Chen, Haonan Lu +2

CVPR 2025poster

AIGC images are prevalent across various fields, yet they frequently suffer from quality issues like artifacts and unnatural textures. Specialized models aim to predict defect region heatmaps but face two primary challenges: (1) lack of explainability, failing to provide reasons and analyses for sub…

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