29 citations · 34 across the 3 of their papers we have counts for
6 papers
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection
Wenbo Zhang, Ge-Peng Ji, Zhuo Wang +2
RGB-D salient object detection (SOD) recently has attracted increasing research interest by benefiting conventional RGB SOD with extra depth information. However, existing RGB-D SO…
BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection
Wenbo Zhang, Yao Jiang, Keren Fu +1
Depth information has been proved beneficial in RGB-D salient object detection (SOD). However, depth maps obtained often suffer from low quality and inaccuracy. Most existing RGB-D…
RGB-D Salient Object Detection via 3D Convolutional Neural Networks
Qian Chen, Ze Liu, Yi Zhang +3
RGB-D salient object detection (SOD) recently has attracted increasing research interest and many deep learning methods based on encoder-decoder architectures have emerged. However…
Siamese Network for RGB-D Salient Object Detection and Beyond
Keren Fu, Deng-Ping Fan, Ge-Peng Ji +3
Existing RGB-D salient object detection (SOD) models usually treat RGB and depth as independent information and design separate networks for feature extraction from each. Such sche…
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
Keren Fu, Deng-Ping Fan, Ge-Peng Ji +1
This paper proposes a novel joint learning and densely-cooperative fusion (JL-DCF) architecture for RGB-D salient object detection. Existing models usually treat RGB and depth as i…
Unsupervised Many-to-Many Image-to-Image Translation Across Multiple Domains
Ye Lin, Keren Fu, Shenggui Ling +1
Unsupervised multi-domain image-to-image translation aims to synthesis images among multiple domains without labeled data, which is more general and complicated than one-to-one ima…