Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes
Automatic salient object segmentation based on context and shape prior
Learning to Detect A Salient Object
RGBD Salient Object Detection via Deep Fusion
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
Depth saliency based on anisotropic center-surround difference
Boundary-guided Feature Aggregation Network for Salient Object Detection
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
Object-Based Multiple Foreground Segmentation in RGBD Video
Real Time Foreground-Background Segmentation Using a Modified Codebook Model
"GrabCut": interactive foreground extraction using iterated graph cuts
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning
Saliency propagation from simple to difficult
Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach
Real Time Image Saliency for Black Box Classifiers
Foreground segmentation using adaptive mixture models in color and depth
Superpixel-based saliency detection
Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
End-to-End Saliency Mapping via Probability Distribution Prediction
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
Ptosis: Causes, Presentation, and Management
Hiding Individuals and Communities in a Social Network
Strategic Asset Allocation:Determining the Optimal Portfolio with Ten Asset Classes
Spreadsheet Programming