most citedAI-based experts' knowledge visualization of cultural heritage: A case study of Terracotta Warriors

8 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Motion-Adapter: A Diffusion Model Adapter for Text-to-Motion Generation of Compound Actions

Yue Jiang, Mingyu Yang, Liuyuxin Yang +3

Recent advances in generative motion synthesis have enabled the production of realistic human motions from diverse input modalities. However, synthesizing compound actions from tex…

cs.HC2026★ 8 cited

AI-based experts' knowledge visualization of cultural heritage: A case study of Terracotta Warriors

Siyi Li, Yue Jiang, Bowen Jing +2

Advancements in 3D modeling,digital display technologies,and the growing availability of digital cultural heritage data have significantly improved the accuracy of heritage depicti…

cs.CV2026★ 2 cited

One Shot Learning for Edge Detection on Point Clouds

Zhikun Tu, Yuhe Zhang, Yiou Jia +2

Each scanner possesses its unique characteristics and exhibits its distinct sampling error distribution. Training a network on a dataset that includes data collected from different…

cs.CV2026

RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation

Sen Zhang, Runmei Li, Shizhuang Deng +7

As Automatic Train Operation (ATO) advances toward GoA4 and beyond, it increasingly depends on efficient, reliable cab-view visual perception and decision-oriented inference to ens…

cs.CV2026

StoryTailor:A Zero-Shot Pipeline for Action-Rich Multi-Subject Visual Narratives

Jinghao Hu, Yuhe Zhang, GuoHua Geng +2

Generating multi-frame, action-rich visual narratives without fine-tuning faces a threefold tension: action text faithfulness, subject identity fidelity, and cross-frame background…