activity
20242026
collaborators

12 papers

cs.CV2026

OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning

Zhijia Liang, Jiaming Li, Weikai Chen +3

Streaming video reasoning requires models to operate in a setting where history grows without bound while meaningful evidence remains scarce. In such a landscape, relevant signal i…

cs.CV2026

Thinking in Streaming Video

Zikang Liu, Longteng Guo, Handong Li +7

Real-time understanding of continuous video streams is essential for interactive assistants and multimodal agents operating in dynamic environments. However, most existing video re…

cs.AI2025

Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation

Yuxiang Zhou, Jichang Li, Yanhao Zhang +2

Mobile agents show immense potential, yet current state-of-the-art (SoTA) agents exhibit inadequate success rates on real-world, long-horizon, cross-application tasks. We attribute…

cs.CV2025

AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model

Zhiwei Jin, Xiaohui Song, Nan Wang +36

In recent years, while cloud-based MLLMs such as QwenVL, InternVL, GPT-4o, Gemini, and Claude Sonnet have demonstrated outstanding performance with enormous model sizes reaching hu…

cs.CV2025

OwlCap: Harmonizing Motion-Detail for Video Captioning via HMD-270K and Caption Set Equivalence Reward

Chunlin Zhong, Qiuxia Hou, Zhangjun Zhou +5

Video captioning aims to generate comprehensive and coherent descriptions of the video content, contributing to the advancement of both video understanding and generation. However,…

cs.CV2025

Free-MoRef: Instantly Multiplexing Context Perception Capabilities of Video-MLLMs within Single Inference

Kuo Wang, Quanlong Zheng, Junlin Xie +6

Video Multimodal Large Language Models~(Video-MLLM) have achieved remarkable advancements in video understanding tasks. However, constrained by the context length limitation in the…