activity
20242026
most citedMotion Anything: Any to Motion Generation

1 citations · 1 across the 19 of their papers we have counts for

collaborators

22 papers

cs.RO2026

Cracking Mobile Manipulation: From Failure Diagnosis to Agentic Robot System

Zixuan Wang, Jia-Ning Li, Yinzhou Tang +5

Recent vision-language-action (VLA) models have shown strong performance on local robot manipulation, yet their success does not readily translate to long-horizon mobile manipulati…

cs.CV2026

MARS: Systematic Multi-Level Acceleration for World Action Models

Zengyuan Zuo, Yongchang Zhang, Guangyu Zhao +4

World Action Models (WAMs) have emerged as a promising alternative for embodied intelligence by jointly predicting future world states and robot actions. However, their heavy visua…

cs.AI2026

Scaling GUI Agents with Visual State Transitions

Xiangyan Liu, Kaixin Li, Haonan Wang +6

We introduce State Transition Pretraining (STP) as a new scaling axis for GUI agents. During the STP stage, we continually pretrain a unified multimodal model on visual state trans…

cs.CL2026

Explicit Representation Alignment for Multimodal Sentiment Analysis

Baode Wang, Ziming Wang, Huacan Wang +2

Multimodal affective analysis aims to understand human sentiment and emotion by jointly modeling heterogeneous modalities such as text and images. However, multimodal models often…

cs.CV2026

DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models

Biao Wu, Yiwu Zhong, Meng Fang +1

High-quality and diverse multimodal data are essential for improving vision-language models (VLMs), yet existing datasets often contain noisy, redundant, and poorly aligned samples…

cs.CL2026

UIPress: Bringing Optical Token Compression to UI-to-Code Generation

Dasen Dai, Shuoqi Li, Ronghao Chen +3

UI-to-Code generation requires vision-language models (VLMs) to produce thousands of tokens of structured HTML/CSS from a single screenshot, making visual token efficiency critical…

cs.CV2026

FlashSign: Pose-Free Guidance for Efficient Sign Language Video Generation

Liuzhou Zhang, Zeyu Zhang, Biao Wu +10

Sign language plays a crucial role in bridging communication gaps between the deaf and hard-of-hearing communities. However, existing sign language video generation models often re…

cs.CV2026

Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models

Yuxi Lu, Kunqi Li, Zhidong Li +4

Semantic segmentation of remote sensing imagery is fundamental to Earth observation. Achieving accurate results requires integrating not only optical images but also physical varia…

cs.CL2026

Story2Proposal: A Scaffold for Structured Scientific Paper Writing

Zhuoyang Qian, Wei Shi, Xu Lin +19

Generating scientific manuscripts requires maintaining alignment between narrative reasoning, experimental evidence, and visual artifacts across the document lifecycle. Existing la…

cs.CL2026

Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach

Biao Wu, Meng Fang, Ling Chen +3

Recent advances in vision-language models have opened up new possibilities for reasoning-driven image geolocalization. However, existing approaches often rely on synthetic reasonin…

cs.CL2025

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…

cs.CV2025

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…

cs.RO2025

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…

cs.CV2025

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…

cs.LG2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025★ 1 cited

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…

cs.AI2024

Foundations and Recent Trends in Multimodal Mobile Agents: A Survey

Biao Wu, Yanda Li, Zhiwei Zhang +3

Mobile agents are essential for automating tasks in complex and dynamic mobile environments. As foundation models evolve, the demands for agents that can adapt in real-time and pro…

cs.LG2024

Curriculum Learning with Quality-Driven Data Selection

Biao Wu, Ling Chen

The impressive multimodal capabilities demonstrated by OpenAI's GPT-4 have generated significant interest in the development of Multimodal Large Language Models (MLLMs). Visual ins…

cs.CV2024

Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion

Zeyu Zhang, Yiran Wang, Biao Wu +7

In recent years, there has been significant interest in creating 3D avatars and motions, driven by their diverse applications in areas like film-making, video games, AR/VR, and hum…