3 papers
cs.CV2021
Novel View Synthesis from a Single Image via Unsupervised learning
Bingzheng Liu, Jianjun Lei, Bo Peng +3
View synthesis aims to generate novel views from one or more given source views. Although existing methods have achieved promising performance, they usually require paired views of…
eess.IV2020
Improved Image Coding Autoencoder With Deep Learning
Licheng Xiao, Hairong Wang, Nam Ling
In this paper, we build autoencoder based pipelines for extreme end-to-end image compression based on Ballé's approach, which is the state-of-the-art open source implementation in…
cs.CV2018
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images
Runmin Cong, Jianjun Lei, Huazhu Fu +3
Co-saliency detection aims to discover common and salient objects in an image group containing more than two relevant images. Moreover, depth information has been demonstrated to b…