collaborators

9 papers

cs.AI2026

PAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums

Qiwei Yan, Zhiqiang Yuan, Zexi Jia +4

Longitudinal personal albums are weak-schema multimodal databases: noisy perceptual records whose key facts require joins across faces, text, timestamps, locations, and repeated ev…

cs.CL2026

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues

Hanbo Bi, Zhiqiang Yuan, Chongyang Li +7

With the widespread adoption of multi-modal communication platforms, long-form dialogues interleaving text and images have become increasingly common. Users often need to retrieve…

cs.CV2026

CoDA: Color Distribution Probing for Efficient and Generalizable AI-Generated Image Detection

Zexi Jia, Zhiqiang Yuan, Xiaoyue Duan +3

AI-generated image detection faces a persistent trade-off between generalization and efficiency: lightweight artifact-based methods often degrade on unseen generators or domains, w…

cs.CL2026

Less Redundancy: Boosting Practicality of Vision Language Model in Walking Assistants

Chongyang Li, Zhiqiang Yuan, Hanbo Bi +2

Approximately 283 million people worldwide live with visual impairments, motivating increasing research into leveraging Visual Language Models (VLMs) to develop effective walking a…

cs.CV2026

Manifold-Optimal Guidance: A Unified Riemannian Control View of Diffusion Guidance

Zexi Jia, Pengcheng Luo, Zhengyao Fang +2

Classifier-Free Guidance (CFG) serves as the de facto control mechanism for conditional diffusion, yet high guidance scales notoriously induce oversaturation, texture artifacts, an…

cs.CV2026

Evaluating Generative Models via One-Dimensional Code Distributions

Zexi Jia, Pengcheng Luo, Yijia Zhong +2

Most evaluations of generative models rely on feature-distribution metrics such as FID, which operate on continuous recognition features that are explicitly trained to be invariant…