7 citations · 21 across the 10 of their papers we have counts for
20 papers
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
Mantang Guo, Junhui Hou, Jing Jin +2
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decode…
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…
When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks
Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou +2
Various architectures (such as GoogLeNets, ResNets, and DenseNets) have been proposed. However, the existing networks usually suffer from either redundancy of convolutional layers…
Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Jing Jin, Junhui Hou, Jie Chen +1
Light field (LF) images acquired by hand-held devices usually suffer from low spatial resolution as the limited sampling resources have to be shared with the angular dimension. LF…
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
Yuheng Jia, Hui Liu, Junhui Hou +2
This paper explores the problem of multi-view spectral clustering (MVSC) based on tensor low-rank modeling. Unlike the existing methods that all adopt an off-the-shelf tensor low-r…
Model-based Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
Qi Liu, Hui Yuan, Junhui Hou +2
Rate distortion optimization plays a very important role in image/video coding. But for 3D point cloud, this problem has not been investigated. In this paper, the rate and distorti…