309 citations · 1.6k across the 77 of their papers we have counts for
8 papers · 1 filter
Deep Anomaly Detection in Packet Payload
Jiaxin Liu, Xucheng Song, Yingjie Zhou +4
With the widespread adoption of cloud services, especially the extensive deployment of plenty of Web applications, it is important and challenging to detect anomalies from the pack…
Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai +2
While being the de facto standard coordinate representation in human pose estimation, heatmap is never systematically investigated in the literature, to our best knowledge. This wo…
Deep Independently Recurrent Neural Network (IndRNN)
Shuai Li, Wanqing Li, Chris Cook +1
Recurrent neural networks (RNNs) are known to be difficult to train due to the gradient vanishing and exploding problems and thus difficult to learn long-term patterns and construc…
C3AE: Exploring the Limits of Compact Model for Age Estimation
Chao Zhang, Shuaicheng Liu, Xun Xu +1
Age estimation is a classic learning problem in computer vision. Many larger and deeper CNNs have been proposed with promising performance, such as AlexNet, VggNet, GoogLeNet and R…
Robust Low-Rank Tensor Ring Completion
Huyan Huang, Yipeng Liu, Ce Zhu
Low-rank tensor completion recovers missing entries based on different tensor decompositions. Due to its outstanding performance in exploiting some higher-order data structure, low…
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC
Tianyi Li, Mai Xu, Ren Yang +1
High efficiency video coding (HEVC) has brought outperforming efficiency for video compression. To reduce the compression artifacts of HEVC, we propose a DenseNet based approach as…
Low-rank Tensor Grid for Image Completion
Huyan Huang, Yipeng Liu, Ce Zhu
Tensor completion estimates missing components by exploiting the low-rank structure of multi-way data. The recently proposed methods based on tensor train (TT) and tensor ring (TR)…
Provable Tensor Ring Completion
Huyan Huang, Yipeng Liu, Ce Zhu
Tensor completion recovers a multi-dimensional array from a limited number of measurements. Using the recently proposed tensor ring (TR) decomposition, in this paper we show that a…