most citedICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts

3 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV20263 cited

ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts

Yaping Zhang, Yupu Liang, Zhiyang Zhang +5

Document Image Machine Translation (DIMT) seeks to translate text embedded in document images from one language to another by jointly modeling both textual content and page layout,…

cs.IR2026

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers

Zhiyang Zhang, Junda She, Kuo Cai +8

Leveraging the vast open-world knowledge and understanding capabilities of Large Language Models (LLMs) to develop general-purpose, semantically-aware recommender systems has emerg…

cs.LG2025

Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation

Zhiyang Zhang, Ningcong Chen, Xin Zhang +4

The widespread use of GPS devices has driven advances in spatiotemporal data mining, enabling machine learning models to simulate human decision making and generate realistic traje…

cs.CL2025

VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations

Yupeng Xie, Zhiyang Zhang, Yifan Wu +8

Visualization, a domain-specific yet widely used form of imagery, is an effective way to turn complex datasets into intuitive insights, and its value depends on whether data are fa…

cs.CL2025

Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency

Yupu Liang, Yaping Zhang, Zhiyang Zhang +5

Multimodal Large Language Models (MLLMs) have shown strong performance in document image tasks, especially Optical Character Recognition (OCR). However, they struggle with Document…

cs.CL2025

Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation

Yupu Liang, Yaping Zhang, Zhiyang Zhang +4

Document Image Machine Translation (DIMT) aims to translate text within document images, facing generalization challenges due to limited training data and the complex interplay bet…