10 citations · 17 across the 5 of their papers we have counts for
5 papers
Cross-modal Full-mode Fine-grained Alignment for Text-to-Image Person Retrieval
Hao Yin, Xin Man, Feiyu Chen +2
Text-to-Image Person Retrieval (TIPR) is a cross-modal matching task designed to identify the person images that best correspond to a given textual description. The key difficulty…
LISA: A Layer-wise Integration and Suppression Approach for Hallucination Mitigation in Multimodal Large Language Models
Zhihui Guo, Xin Man, Hui Xu +4
Multimodal Large Language Models (MLLMs) excel in vision-language tasks such as image captioning but remain prone to object hallucinations, where they describe objects that do not…
EWMoE: An effective model for global weather forecasting with mixture-of-experts
Lihao Gan, Xin Man, Chenghong Zhang +1
Weather forecasting is a crucial task for meteorologic research, with direct social and economic impacts. Recently, data-driven weather forecasting models based on deep learning ha…
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes
Minghao Fu, Xin Man, Yihan Xu +1
While scene text image super-resolution (STISR) has yielded remarkable improvements in accurately recognizing scene text, prior methodologies have placed excessive emphasis on opti…
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
Xin Man, Chenghong Zhang, Jin Feng +2
Weather forecasting is a long-standing computational challenge with direct societal and economic impacts. This task involves a large amount of continuous data collection and exhibi…