most citedVideo-EM: Event-Centric Episodic Memory for Long-Form Video Understanding

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cs.CV2026

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU

Fan Jiang, Zhaoxu Sun, Mengchao Wang +38

We present ABot-World-0, an action-conditioned video world model for real-time, long-horizon closed-loop interaction, supported by a multi-source data infrastructure spanning AAA g…

cs.CV2026

Keep It in Mind: User Centric Continual Spatial Intelligence Reasoning in Egocentric Video Streams

Yun Wang, Junbin Xiao, Han Lyu +6

We introduce UCS-Bench, a dataset spanning 170+ hours of egocentric visual observations with 8.1K+ timestamped questions for diagnosing User-Centric Continual Spatial intelligence…

cs.CV2026

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models

Yulin Zhao, Zheng Zhang

Vision-Language Models (VLMs) face a bottleneck of prohibitive computational costs arising from massive visual token sequences during inference. Existing vision token reduction met…

cs.CV2025

FAPE-IR: Frequency-Aware Planning and Execution Framework for All-in-One Image Restoration

Jingren Liu, Shuning Xu, Qirui Yang +3

All-in-One Image Restoration (AIO-IR) aims to develop a unified model that can handle multiple degradations under complex conditions. However, existing methods often rely on task-s…

cs.CV2025

TeleEgo: Benchmarking Egocentric AI Assistants in the Wild

Jiaqi Yan, Ruilong Ren, Jingren Liu +13

Egocentric AI assistants in real-world settings must process multi-modal inputs (video, audio, text), respond in real time, and retain evolving long-term memory. However, existing…

cs.CV20251 cited

Video-EM: Event-Centric Episodic Memory for Long-Form Video Understanding

Yun Wang, Long Zhang, Jingren Liu +9

Video Large Language Models (Video-LLMs) have shown strong video understanding, yet their application to long-form videos remains constrained by limited context windows. A common w…