Snapshot compressive imaging emerges as a promising technology for acqui...
The field of image super-resolution (SR) has witnessed extensive neural
...
A deeper network structure generally handles more complicated non-linear...
The technology of hyperspectral imaging (HSI) records the visual informa...
Fully exploiting the learning capacity of neural networks requires
overp...
Recently, hyperspectral imaging (HSI) has attracted increasing research
...
Action prediction aims to infer the forthcoming human action with
partia...
The study of 3D hyperspectral image (HSI) reconstruction refers to the
i...
Owing to the remarkable capability of extracting effective graph embeddi...
Multi-view action recognition (MVAR) leverages complementary temporal
in...
This paper studies the large-scale subspace clustering (LSSC) problem wi...
Nowadays, with the rapid development of data collection sources and feat...
In order to efficiently learn with small amount of data on new tasks,
me...
Multi-view time series classification aims to fuse the distinctive tempo...
Consensus clustering fuses diverse basic partitions (i.e., clustering re...
Recently image-to-image translation has received increasing attention, w...