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20122019
most citedBayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

617 citations · 1.4k across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CV2019★ 1 cited

Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition

Yiyi Zhang, Li Niu, Ziqi Pan +4

Static image action recognition, which aims to recognize action based on a single image, usually relies on expensive human labeling effort such as adequate labeled action images an…

cs.CV2019

Learning from Web Data with Self-Organizing Memory Module

Yi Tu, Li Niu, Junjie Chen +2

Learning from web data has attracted lots of research interest in recent years. However, crawled web images usually have two types of noises, label noise and background noise, whic…

cs.CV2017★ 4 cited

Multi-shot Pedestrian Re-identification via Sequential Decision Making

Jianfu Zhang, Naiyan Wang, Liqing Zhang

Multi-shot pedestrian re-identification problem is at the core of surveillance video analysis. It matches two tracks of pedestrians from different cameras. In contrary to existing…

cs.CV2016★ 2 cited

Rectifier Neural Network with a Dual-Pathway Architecture for Image Denoising

Keting Zhang, Liqing Zhang

Recently deep neural networks based on tanh activation function have shown their impressive power in image denoising. In this letter, we try to use rectifier function instead of ta…

cs.CV2014★ 166 cited

Feature Learning from Incomplete EEG with Denoising Autoencoder

Junhua Li, Zbigniew Struzik, Liqing Zhang +1

An alternative pathway for the human brain to communicate with the outside world is by means of a brain computer interface (BCI). A BCI can decode electroencephalogram (EEG) signal…

cs.CV2014★ 247 cited

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

Qibin Zhao, Guoxu Zhou, Liqing Zhang +2

We propose a generative model for robust tensor factorization in the presence of both missing data and outliers. The objective is to explicitly infer the underlying low-CP-rank ten…