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cs.CV2026
Keep It Simple: Multi-Key Episodic Memory Retrieval for Ultra-Long Video Understanding
Yeeun Choi, Youngbeom Yoo, Joon-Young Lee +2
When videos extend from hours to days, directly processing them end-to-end becomes impractical for current Multi-modal Large Language Models (MLLMs). This ultra-long setting necess…
cs.CV2025
Open-ended Hierarchical Streaming Video Understanding with Vision Language Models
Hyolim Kang, Yunsu Park, Youngbeom Yoo +2
We introduce Hierarchical Streaming Video Understanding, a task that combines online temporal action localization with free-form description generation. Given the scarcity of datas…
cs.CV2025
A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images
Jaeseong Lee, Yeeun Choi, Heechan Choi +2
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in vision-language understanding, reasoning, and generation. However, they struggle with tasks re…