230 citations · 409 across the 13 of their papers we have counts for
13 papers
Guided Focal Stack Refinement Network for Light Field Salient Object Detection
Bo Yuan, Yao Jiang, Keren Fu +1
Light field salient object detection (SOD) is an emerging research direction attributed to the richness of light field data. However, most existing methods lack effective handling…
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
Wenbo Zhang, Keren Fu, Zhuo Wang +2
Recently CNN-based RGB-D salient object detection (SOD) has obtained significant improvement on detection accuracy. However, existing models often fail to perform well in terms of…
Depth-Cooperated Trimodal Network for Video Salient Object Detection
Yukang Lu, Dingyao Min, Keren Fu +1
Depth can provide useful geographical cues for salient object detection (SOD), and has been proven helpful in recent RGB-D SOD methods. However, existing video salient object detec…
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
Ge-Peng Ji, Lei Zhu, Mingchen Zhuge +1
Camouflaged Object Detection (COD) aims to detect objects with similar patterns (e.g., texture, intensity, colour, etc) to their surroundings, and recently has attracted growing re…
Full-Duplex Strategy for Video Object Segmentation
Ge-Peng Ji, Deng-Ping Fan, Keren Fu +3
Previous video object segmentation approaches mainly focus on using simplex solutions between appearance and motion, limiting feature collaboration efficiency among and across thes…
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…
Light Field Salient Object Detection: A Review and Benchmark
Keren Fu, Yao Jiang, Ge-Peng Ji +3
Salient object detection (SOD) is a long-standing research topic in computer vision and has drawn an increasing amount of research interest in the past decade. This paper provides…
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…
Robust Visual Tracking via Inverse Nonnegative Matrix Factorization
Fanghui Liu, Tao Zhou, Keren Fu +2
The establishment of robust target appearance model over time is an overriding concern in visual tracking. In this paper, we propose an inverse nonnegative matrix factorization (NM…