collaborators

8 papers

cs.AI2026

Towards Omni-dimensional GUI Agent Navigation with Masked Trajectory Prediction

Yan Zhang, Pei Fu, Daiqing Wu +8

Graphical User Interface (GUI) Agents autonomously interact with software to fulfill user requests, where GUI navigation stands out as the most critical and challenging capability.…

cs.AI2026

Xiaomi-GUI-0 Technical Report

Wanxia Cao, Chengzhen Duan, Pei Fu +29

Graphical user interface (GUI) agents build on vision-language models to complete user tasks end-to-end in real applications through interface actions such as tapping, swiping, tex…

cs.CV2026

UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation

Jiahao Lyu, Pei Fu, Zhenhang Li +6

In-Image Machine Translation (IIMT) aims to translate scene text in an image and render the translated text back into the original regions while preserving the overall visual appea…

cs.CV2026

IMTBench: A Multi-Scenario Cross-Modal Collaborative Evaluation Benchmark for In-Image Machine Translation

Jiahao Lyu, Pei Fu, Zhenhang Li +7

End-to-end In-Image Machine Translation (IIMT) aims to convert text embedded within an image into a target language while preserving the original visual context, layout, and render…

cs.AI2026

GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models

Shaokang Wang, Pei Fu, Ruoceng Zhang +7

While Large Vision-Language Models (LVLMs) have significantly advanced GUI agents' capabilities in parsing textual instructions, interpreting screen content, and executing tasks, a…

cs.CV2025

BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent

Shaojie Zhang, Ruoceng Zhang, Pei Fu +8

In the field of AI-driven human-GUI interaction automation, while rapid advances in multimodal large language models and reinforcement fine-tuning techniques have yielded remarkabl…

cs.CV2025

Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning

Shaojie Zhang, Pei Fu, Ruoceng Zhang +8

Autonomous graphical user interface (GUI) agents rely on accurate GUI grounding, which maps language instructions to on-screen coordinates, to execute user commands. However, curre…

cs.CV2025

Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs

Shaojie Zhang, Jiahui Yang, Jianqin Yin +2

Multimodal Large Language Models (MLLMs) have demonstrated significant success in visual understanding tasks. However, challenges persist in adapting these models for video compreh…