10 citations · 14 across the 3 of their papers we have counts for
4 papers · 1 filter
Learning of Global Objective for Network Flow in Multi-Object Tracking
Shuai Li, Yu Kong, Hamid Rezatofighi
This paper concerns the problem of multi-object tracking based on the min-cost flow (MCF) formulation, which is conventionally studied as an instance of linear program. Given its c…
Evidential Deep Learning for Open Set Action Recognition
Wentao Bao, Qi Yu, Yu Kong
In a real-world scenario, human actions are typically out of the distribution from training data, which requires a model to both recognize the known actions and reject the unknown.…
Residual Dense Network for Image Restoration
Yulun Zhang, Yapeng Tian, Yu Kong +2
Convolutional neural network has recently achieved great success for image restoration (IR) and also offered hierarchical features. However, most deep CNN based IR models do not ma…
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong +2
A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well. However, most deep CNN…