121 citations · 145 across the 5 of their papers we have counts for
5 papers
Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance
Xin Shen, Xiaonan Zhao, Rui Luo
Fine-grained multi-label classification models have broad applications in e-commerce, such as visual based label predictions ranging from fashion attribute detection to brand recog…
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang +3
Pre-training lays the foundation for recent successes in radiograph analysis supported by deep learning. It learns transferable image representations by conducting large-scale full…
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching
Yuxiao Chen, Jianbo Yuan, Long Zhao +4
Cross-modal attention mechanisms have been widely applied to the image-text matching task and have achieved remarkable improvements thanks to its capability of learning fine-graine…
A weakly supervised adaptive triplet loss for deep metric learning
Xiaonan Zhao, Huan Qi, Rui Luo +1
We address the problem of distance metric learning in visual similarity search, defined as learning an image embedding model which projects images into Euclidean space where semant…
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment
Jianbo Yuan, Haofu Liao, Rui Luo +1
Generating radiology reports is time-consuming and requires extensive expertise in practice. Therefore, reliable automatic radiology report generation is highly desired to alleviat…