Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Tracking
End-to-End Representation Learning for Correlation Filter Based Tracking
Adaptive Color Attributes for Real-Time Visual Tracking
Robust Visual Tracking via Structured Multi-Task Sparse Learning
Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking
Spatially supervised recurrent convolutional neural networks for visual object tracking
Feature detection and tracking with constrained local models
Learning Spatial-Aware Regressions for Visual Tracking
Robust visual tracking via online semi-supervised co-boosting
Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects
Deep Metric Learning for Visual Tracking
Adaptive object tracking by learning background context
Sparse coding based visual tracking: Review and experimental comparison
Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches
Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning
unsupervised learning of visual invariance with temporal coherence .
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space
STCT: Sequentially Training Convolutional Networks for Visual Tracking
Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker
Any-angle path planning for computer games
Recommendation Systems in Software Engineering
DNA methylation patterns and epigenetic memory
Learning Color Names for Real-World Applications
ESL student attitudes toward corpus use in L2 writing