2 citations · 2 across the 1 of their papers we have counts for
4 papers
Adaptive and Cascaded Compressive Sensing
Chenxi Qiu, Tao Yue, Xuemei Hu
Scene-dependent adaptive compressive sensing (CS) has been a long pursuing goal which has huge potential in significantly improving the performance of CS. However, without accessin…
Deep Image Compression via End-to-End Learning
Haojie Liu, Tong Chen, Qiu Shen +2
We present a lossy image compression method based on deep convolutional neural networks (CNNs), which outperforms the existing BPG, WebP, JPEG2000 and JPEG as measured via multi-sc…
Multispectral Focal Stack Acquisition Using A Chromatic Aberration Enlarged Camera
Qian Huang, Yunqian Li, Linsen Chen +5
Capturing more information, e.g. geometry and material, using optical cameras can greatly help the perception and understanding of complex scenes. This paper proposes a novel metho…
Multispectral Image Intrinsic Decomposition via Low Rank Constraint
Qian Huang, Weixin Zhu, Yang Zhao +4
Multispectral images contain many clues of surface characteristics of the objects, thus can be widely used in many computer vision tasks, e.g., recolorization and segmentation. How…