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Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
Baode Wang, Biao Wu, Weizhen Li +8
Document parsing from scanned images into structured formats remains a significant challenge due to its complexly intertwined elements such as text paragraphs, figures, formulas, a…
UniVid: The Open-Source Unified Video Model
Jiabin Luo, Junhui Lin, Zeyu Zhang +4
Unified video modeling that combines generation and understanding capabilities is increasingly important but faces two key challenges: maintaining semantic faithfulness during flow…
Automotive-ENV: Benchmarking Multimodal Models in Automotive Cockpit Environments
Junfeng Yan, Biao Wu, Meng Fang +1
Multimodal models have demonstrated strong capabilities in web, desktop, and mobile GUI environments, but their performance in automotive cockpit systems remains largely unexplored…
StereoAdapter: Adapting Stereo Depth Estimation to Underwater Scenes
Zhengri Wu, Yiran Wang, Yu Wen +3
Underwater stereo depth estimation provides accurate 3D geometry for robotics tasks such as navigation, inspection, and mapping, offering metric depth from low-cost passive cameras…
Remote Sensing-Oriented World Model
Yuxi Lu, Biao Wu, Zhidong Li +7
World models have shown potential in artificial intelligence by predicting and reasoning about world states beyond direct observations. However, existing approaches are predominant…
VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
Jinchao Ge, Tengfei Cheng, Biao Wu +7
Understanding cultural heritage artifacts such as ancient Greek pottery requires expert-level reasoning that remains challenging for current MLLMs due to limited domain-specific da…
PresentAgent: Multimodal Agent for Presentation Video Generation
Jingwei Shi, Zeyu Zhang, Biao Wu +4
We present PresentAgent, a multimodal agent that transforms long-form documents into narrated presentation videos. While existing approaches are limited to generating static slides…
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
Baode Wang, Biao Wu, Weizhen Li +8
Automated parsing of scanned documents into richly structured, machine-readable formats remains a critical bottleneck in Document AI, as traditional multi-stage pipelines suffer fr…
Motion Anything: Any to Motion Generation
Zeyu Zhang, Yiran Wang, Wei Mao +7
Conditional motion generation has been extensively studied in computer vision, yet two critical challenges remain. First, while masked autoregressive methods have recently outperfo…