Learning to Learn with Variational Information Bottleneck for Domain Generalization, Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, Ling Shao
Huan Xiong

Latent Domain Generation for Unsupervised Domain Adaptation Object Counting, Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao
Machine Learning Faculty Publications

Learning to Learn with Variational Information Bottleneck for Domain Generalization, Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, Ling Shao
Machine Learning Faculty Publications

Pixel-level non-local image smoothing with objective evaluation, Jun Xu, Zhi Ang Liu, Ying Kun Hou, Xian Tong Zhen, Ling Shao, Ming Ming Cheng
Machine Learning Faculty Publications

Learning to learn kernels with variational random features, Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
Machine Learning Faculty Publications

STAR: A Structure and Texture Aware Retinex Model, Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao
Machine Learning Faculty Publications

NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising, Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
Machine Learning Faculty Publications