Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: DeepTAM: Deep Tracking and Mapping
DTAM: Dense tracking and mapping in real-time
Learning Where to Attend with Deep Architectures for Image Tracking
Deep visual tracking: Review and experimental comparison
Hedged Deep Tracking
Robust Object Tracking Based on Temporal and Spatial Deep Networks
Simultaneous localization and mapping with detection and tracking of moving objects
A survey on leveraging deep neural networks for object tracking
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks
Improving Online Multiple Object tracking with Deep Metric Learning.
Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking
C-KLAM: Constrained keyframe-based localization and mapping
Multicamera People Tracking with a Probabilistic Occupancy Map
TSDF Manifolds: A Scalable and Consistent Dense Mapping Approach
Learning to Track at 100 FPS with Deep Regression Networks
Multi-Person Tracking by Multicut and Deep Matching
Stereo-based simultaneous localization, mapping and moving object tracking
Accurate, Low-Energy Trajectory Mapping for Mobile Devices
Toward Geometric Deep SLAM
Multi-level mapping: Real-time dense monocular SLAM
Super-resolution 3D tracking and mapping
Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia
Learning Query and Document Relevance from a Web-scale Click Graph
Modeling Buying Motives for Personalized Product Bundle Recommendation
Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction
Real-time multi-channel stimulus artifact suppression by local cur v e fitting