8 citations · 25 across the 16 of their papers we have counts for
5 papers · 1 filter
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
Wenke Huang, Jian Liang, Zekun Shi +6
Multimodal Large Language Model (MLLM) have demonstrated strong generalization capabilities across diverse distributions and tasks, largely due to extensive pre-training datasets.…
EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
Qu Yang, Mang Ye, Bo Du
Multi-modal large language models (MLLMs) have achieved remarkable performance on objective multimodal perception tasks, but their ability to interpret subjective, emotionally nuan…
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye, Wei Shen, Bo Du +3
Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm where different parties collaboratively learn models using partitioned features of shared sa…
All in One Framework for Multimodal Re-identification in the Wild
He Li, Mang Ye, Ming Zhang +1
In Re-identification (ReID), recent advancements yield noteworthy progress in both unimodal and cross-modal retrieval tasks. However, the challenge persists in developing a unified…
Transformer for Object Re-Identification: A Survey
Mang Ye, Shuoyi Chen, Chenyue Li +3
Object Re-identification (Re-ID) aims to identify specific objects across different times and scenes, which is a widely researched task in computer vision. For a prolonged period,…