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From the 2 of 13 linked papers with an AI index.

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13 papers

cs.CV2026

Calibrate What You SHIP: Post-Selection Risk Control for Verifier-Guided Text-to-Image Generation

Xuanhua Yin, Shunqi Mao, Wei Guo +2

Verifier-guided text-to-image systems increasingly use test-time search to select, refine, or stop among multiple candidates, yet release thresholds are often calibrated on individ…

cs.CV2026

Learning Color Grading, No Photo Sharing: Federated Aesthetic Preference Learning for Personalized Image Enhancement

Chuanzhi Xu, Ziyuan Tao, Jean Julien KNell +5

The paper proposes FedPAIE, a federated learning framework that learns individual aesthetic preferences for color grading and applies lightweight, personalized image enhancement on…

cs.CV2026

SciFigAlign: Scoring Scientific Figures by Fine-tuned Alignment of Visuals with Manuscript Evidence

Chuanzhi Xu, Zihan Deng, Huiqi Liang +4

The paper introduces SciFigAlign, a multimodal model that scores scientific figures by aligning visual content with manuscript evidence, using fine‑tuned CLIP and SciBERT to predic…

cs.MM2026

A First Exploration of Neuromorphic OT-CFM for Multi-Speaker VSR

Lin Chen, Jingping Fang, Hairui Liu +5

Visual Speech Recognition (VSR) tasks in complex multi-speaker scenarios are severely hindered by rapid head motions, occlusions, and subtle lip articulations. Traditional RGB-base…

cs.CV2026

EvLIR: Learning Illumination Residuals from Ordered Events for Low-Light Image Enhancement

Haoxian Zhou, Chuanzhi Xu, Langyi Chen +5

Low-light image enhancement is severely ill-posed when the input frame contains missing structure, saturated noise, and weak local contrast. Event cameras provide asynchronous brig…

cs.CV2026

SAFE-DiT: Semantics-Aware Fast-path Execution for High-Resolution Diffusion Transformers

Xuanhua Yin, Yuxuan Jia, Chuanzhi Xu +1

High-resolution Diffusion Transformer (DiT) inference contains substantial spatial redundancy, but many spatially adaptive implementations encode regional computation as attention…