13 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.AI2024★ 2 cited
LLMs Meet Multimodal Generation and Editing: A Survey
Yingqing He, Zhaoyang Liu, Jingye Chen +13
With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning. Previous surveys of multimodal large language m…
cs.CV2024★ 1 cited
Using Left and Right Brains Together: Towards Vision and Language Planning
Jun Cen, Chenfei Wu, Xiao Liu +6
Large Language Models (LLMs) and Large Multi-modality Models (LMMs) have demonstrated remarkable decision masking capabilities on a variety of tasks. However, they inherently opera…
cs.CV2023★ 13 cited
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Jun Cen, Di Luan, Shiwei Zhang +5
Open-set Recognition (OSR) aims to identify test samples whose classes are not seen during the training process. Recently, Unified Open-set Recognition (UOSR) has been proposed to…