Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Robust odometry estimation for RGB-D cameras
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks
Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery
UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation
DeepVO: A Deep Learning approach for Monocular Visual Odometry
Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs
Unsupervised learning of depth and motion
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
Self-Improving Visual Odometry
Unsupervised extrinsic calibration of depth sensors in dynamic scenes
Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry
Real-time visual odometry from dense RGB-D images
Unsupervised Learning of Depth and Ego-Motion from Video
Fast visual odometry and mapping from RGB-D data
6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality
Single image based camera calibration and pose estimation of the end-effector of a robot
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
iSAM2: Incremental smoothing and mapping using the Bayes tree
A mixture model for expression deconvolution from RNA-seq in heterogeneous tissues
ParaPhraser: Russian Paraphrase Corpus and Shared Task
UQAM-NTL: Named entity recognition in Twitter messages.
Being curious about the answers to questions: novelty search with learned attention