10 citations · 14 across the 2 of their papers we have counts for
4 papers
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.…
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
Shangyu Xie, Han Wang, Yu Kong +1
Widely deployed deep neural network (DNN) models have been proven to be vulnerable to adversarial perturbations in many applications (e.g., image, audio and text classifications).…
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…