13 citations · 31 across the 15 of their papers we have counts for
6 papers · 1 filter
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise
Chaoyou Fu, Renrui Zhang, Zihan Wang +15
The surge of interest towards Multi-modal Large Language Models (MLLMs), e.g., GPT-4V(ision) from OpenAI, has marked a significant trend in both academia and industry. They endow L…
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
Yunchen Li, Zhou Yu, Gaoqi He +4
Symmetric positive definite~(SPD) matrices have shown important value and applications in statistics and machine learning, such as FMRI analysis and traffic prediction. Previous wo…
Aligning and Prompting Everything All at Once for Universal Visual Perception
Yunhang Shen, Chaoyou Fu, Peixian Chen +6
Vision foundation models have been explored recently to build general-purpose vision systems. However, predominant paradigms, driven by casting instance-level tasks as an object-wo…
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
Tao Chen, Enwei Zhang, Yuting Gao +5
Although In-Context Learning (ICL) brings remarkable performance gains to Large Language Models (LLMs), the improvements remain lower than fine-tuning on downstream tasks. This pap…
Towards Robust Text Retrieval with Progressive Learning
Tong Wu, Yulei Qin, Enwei Zhang +4
Retrieval augmentation has become an effective solution to empower large language models (LLMs) with external and verified knowledge sources from the database, which overcomes the…
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes
Yulei Qin, Xingyu Chen, Yunhang Shen +5
Webly supervised learning has attracted increasing attention for its effectiveness in exploring publicly accessible data at scale without manual annotation. However, most existing…