9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Elysium: Exploring Object-level Perception in Videos via MLLM
Han Wang, Yanjie Wang, Yongjie Ye +2
Multi-modal Large Language Models (MLLMs) have demonstrated their ability to perceive objects in still images, but their application in video-related tasks, such as object tracking…
cs.AI2023★ 9 cited
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding
Hao Feng, Zijian Wang, Jingqun Tang +4
In the era of Large Language Models (LLMs), tremendous strides have been made in the field of multimodal understanding. However, existing advanced algorithms are limited to effecti…