Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Self-Supervised Visual Descriptor Learning for Dense Correspondence
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
3D Object Dense Reconstruction from a Single Depth View
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-to-End Learning from Demonstration
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
Effective Background Model-Based RGB-D Dense Visual Odometry in a Dynamic Environment
A hybrid deep architecture for robotic grasp detection
Generic Object Detection with Dense Neural Patterns and Regionlets
BRAND: A robust appearance and depth descriptor for RGB-D images
scalable deep reinforcement learning for vision - based robotic manipulation .
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Learning Deep Descriptors with Scale-Aware Triplet Networks
A Combined RGB and Depth Descriptor for SLAM with Humanoids
Object recognition and full pose registration from a single image for robotic manipulation
Robotic Grasping of Novel Objects using Vision
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Dense Visual SLAM
Multimodal deep learning for robust RGB-D object recognition
A learned feature descriptor for object recognition in RGB-D data
Deep learning for object identification in ROS-based mobile robots
A survey on transition from GMPLS control plane for optical multilayer networks to SDN control plane
DCRoute: Speeding up Inter-Datacenter Traffic Allocation while Guaranteeing Deadlines
Fast And Space Efficient Trie Searches
Automated news reading: Stock price prediction based on financial news using context-capturing features
R-FCN: Object Detection via Region-based Fully Convolutional Networks