实验室博士生任静茹的论文在国际会议International Conference on Multimedia and Expo(ICME)上发表，该论文提出了一种基于协同特征提取和从高到低特征融合的协同显著性检测模型[1]；实验室硕士生焦琪涵的论文发表在ICME Workshop(ICMEW)上，该论文提出了基于单样本学习与类别间分级结构的图像细粒度分类模型[2]。

[1] J. Ren, Z. Liu*, G. Li, X. Zhou, C. Bai, and G. Sun, "Co-saliency detection using collaborative feature extraction and high-to-low feature integration," ICME, London, Jul. 2020. 

Link: https://pan.baidu.com/share/init?surl=RofTzQ07Vi-GRohnmSy7pg[提取码:180w] ;

[2] Q. Jiao, Z. Liu*, G. Li, L. Ye, and Y. Wang, "Fine-grained image classification with coarse and fine labels on one-shot learning," ICMEW, London, Jul. 2020. 

Link：https://pan.baidu.com/share/init?surl=8j5sa8WITcRzWDoSathT8g[提取码:mkY7];