10 papers
BAMI: Training-Free Bias Mitigation in GUI Grounding
Borui Zhang, Bo Zhang, Bo Wang +6
GUI grounding is a critical capability for enabling GUI agents to execute tasks such as clicking and dragging. However, in complex scenarios like the ScreenSpot-Pro benchmark, exis…
ProPhy: Progressive Physical Alignment for Dynamic World Simulation
Zijun Wang, Panwen Hu, Jing Wang +7
Recent advances in video generation have shown remarkable potential for constructing world simulators. However, current models still struggle to produce physically consistent resul…
Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detection
Liang Tang, Hongda Li, Jiayu Zhang +5
Emotion recognition in videos is a pivotal task in affective computing, where identifying subtle psychological states such as Ambivalence and Hesitancy holds significant value for…
WildGHand: Learning Anti-Perturbation Gaussian Hand Avatars from Monocular In-the-Wild Videos
Hanhui Li, Xuan Huang, Wanquan Liu +5
Despite recent progress in 3D hand reconstruction from monocular videos, most existing methods rely on data captured in well-controlled environments and therefore degrade in real-w…
Evolving in Tasks: Empowering the Multi-modality Large Language Model as the Computer Use Agent
Yuhao Cheng, Liang Tang, Shuxian Li +5
Computer use agents represent an emerging area in artificial intelligence, aiming to operate computers autonomously to fulfill user tasks, attracting significant attention from bot…
LaVieID: Local Autoregressive Diffusion Transformers for Identity-Preserving Video Creation
Wenhui Song, Hanhui Li, Jiehui Huang +5
In this paper, we present LaVieID, a novel \underline{l}ocal \underline{a}utoregressive \underline{vi}d\underline{e}o diffusion framework designed to tackle the challenging \underl…