28 citations · 50 across the 21 of their papers we have counts for
3 papers · 1 filter
Modality-Collaborative Low-Rank Decomposers for Few-Shot Video Domain Adaptation
Yuyang Wanyan, Xiaoshan Yang, Weiming Dong +1
In this paper, we study the challenging task of Few-Shot Video Domain Adaptation (FSVDA). The multimodal nature of videos introduces unique challenges, necessitating the simultaneo…
Harmony: A Unified Framework for Modality Incremental Learning
Yaguang Song, Xiaoshan Yang, Dongmei Jiang +2
Incremental learning aims to enable models to continuously acquire knowledge from evolving data streams while preserving previously learned capabilities. While current research pre…
Pilot: Building the Federated Multimodal Instruction Tuning Framework
Baochen Xiong, Xiaoshan Yang, Yaguang Song +2
In this paper, we explore a novel federated multimodal instruction tuning task(FedMIT), which is significant for collaboratively fine-tuning MLLMs on different types of multimodal…