collaborators

5 papers

cs.LG2026

Learnable Hodge-Laplacian Driven Mixture of Experts for Steady-PDE Surrogates on Coarse Unstructured Meshes

Stavros Nousias, Akis Nousias, Konstantinos Gkrispanis

Current approaches for steady partial differential equations surrogate models on unstructured meshes apply a single mixing mechanism to the whole solution. This paper proposes an a…

cs.CV2026

Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning

Wenzheng Zeng, Siyi Jiao, Chen Gao +2

Dense video captioning aims to generate temporally grounded descriptions of video events, benefiting both event-level video understanding and generation. In this domain, autoregres…

cs.CV2026

GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents

Mingyu Ouyang, Siyuan Hu, Kevin Qinghong Lin +2

Towards an embodied generalist for real-world interaction, Multimodal Large Language Model (MLLM) agents still suffer from challenging latency, sparse feedback, and irreversible mi…

cs.CV2026

FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection

Mingyu Ouyang, Kevin Qinghong Lin, Mike Zheng Shou +1

Vision-Language Models (VLMs) have shown remarkable performance in User Interface (UI) grounding tasks, driven by their ability to process increasingly high-resolution screenshots.…

cs.CV2025

Factorized Learning for Temporally Grounded Video-Language Models

Wenzheng Zeng, Difei Gao, Mike Zheng Shou +1

Recent video-language models have shown great potential for video understanding, but still struggle with accurate temporal grounding for event-level perception. We observe that two…