924 citations · 2.7k across the 21 of their papers we have counts for
5 papers · 1 filter
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Jiaxian Guo, Junnan Li, Dongxu Li +4
Large language models (LLMs) have demonstrated excellent zero-shot generalization to new language tasks. However, effective utilization of LLMs for zero-shot visual question-answer…
The Devil in Linear Transformer
Zhen Qin, XiaoDong Han, Weixuan Sun +4
Linear transformers aim to reduce the quadratic space-time complexity of vanilla transformers. However, they usually suffer from degraded performances on various tasks and corpus.…
LAVIS: A Library for Language-Vision Intelligence
Dongxu Li, Junnan Li, Hung Le +3
We introduce LAVIS, an open-source deep learning library for LAnguage-VISion research and applications. LAVIS aims to serve as a one-stop comprehensive library that brings recent a…
cosFormer: Rethinking Softmax in Attention
Zhen Qin, Weixuan Sun, Hui Deng +6
Transformer has shown great successes in natural language processing, computer vision, and audio processing. As one of its core components, the softmax attention helps to capture l…
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li, Dongxu Li, Caiming Xiong +1
Vision-Language Pre-training (VLP) has advanced the performance for many vision-language tasks. However, most existing pre-trained models only excel in either understanding-based t…