activity
20172019
most citedBreaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images

6 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20191 cited

Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise

Yuefeng Chen, Qing Wang

Recently a category of tracking methods based on "tracking-by-detection" is widely used in visual tracking problem. Most of these methods update the classifier online using the sam…

cs.CV20196 cited

Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images

Hao Zhu, Mantang Guo, Hongdong Li +2

Light-field cameras (LFC) have received increasing attention due to their wide-spread applications. However, current LFCs suffer from the well-known spatio-angular trade-off, which…

cs.CV2018

A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras

Qi Zhang, Chunping Zhang, Jinbo Ling +2

Light field cameras can capture both spatial and angular information of light rays, enabling 3D reconstruction by a single exposure. The geometry of 3D reconstruction is affected b…

cs.CV2018

Dense Light Field Reconstruction From Sparse Sampling Using Residual Network

Mantang Guo, Hao Zhu, Guoqing Zhou +1

A light field records numerous light rays from a real-world scene. However, capturing a dense light field by existing devices is a time-consuming process. Besides, reconstructing a…

cs.CV2017

Light Field Segmentation From Super-pixel Graph Representation

Xianqiang Lv, Hao Zhu, Qing Wang

Efficient and accurate segmentation of light field is an important task in computer vision and graphics. The large volume of input data and the redundancy of light field make it an…