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Lu Peng

2 accepted papers

2024

Federated Text-driven Prompt Generation for Vision-Language Models

ICLR 2024poster

Prompt learning for vision-language models, e.g., CoOp, has shown great success in adapting CLIP to different downstream tasks, making it a promising solution for federated learning due to computational reasons. Existing prompt learning techniques replace hand-crafted text prompts with learned vecto…

Cited by 11SourcePDFScholar
2023

MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer

ICCV 2023poster

Precise crop yield prediction provides valuable information for agricultural planning and decision-making processes. However, timely predicting crop yields remains challenging as crop growth is sensitive to growing season weather variation and climate change. In this work, we develop a deep learning…

Cited by 45PDFcodeScholar