1 citations · 3 across the 4 of their papers we have counts for
4 papers
Edge-aware Plug-and-play Scheme for Semantic Segmentation
Jianye Yi, Xiaopin Zhong, Weixiang Liu +3
Semantic segmentation is a classic and fundamental computer vision problem dedicated to assigning each pixel with its corresponding class. Some recent methods introduce edge-based…
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
Xiaopin Zhong, Guankun Wang, Weixiang Liu +2
As a fundamental computer vision task, crowd counting plays an important role in public safety. Currently, deep learning based head detection is a promising method for crowd counti…
Variational Distillation for Multi-View Learning
Xudong Tian, Zhizhong Zhang, Cong Wang +6
Information Bottleneck (IB) based multi-view learning provides an information theoretic principle for seeking shared information contained in heterogeneous data descriptions. Howev…
Maximum Correntropy Unscented Filter
Xi Liu, Badong Chen, Bin Xu +2
The unscented transformation (UT) is an efficient method to solve the state estimation problem for a non-linear dynamic system, utilizing a derivative-free higher-order approximati…