Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: End-to-End Representation Learning for Correlation Filter Based Tracking
High-Speed Tracking with Kernelized Correlation Filters
Correlation Filters for Object Alignment
Correlation-Based Tracking of Multiple Targets With Hierarchical Layered Structure
Discriminative Correlation Filter with Channel and Spatial Reliability
Coreset-Based Adaptive Tracking
Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size
Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor
Deformable Parts Correlation Filters for Robust Visual Tracking
Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker
Real-time part-based visual tracking via adaptive correlation filters
A compact association of particle filtering and kernel based object tracking
AKalman Filter BasedTracking Scheme withInput Estimation
Exploiting the circulant structure of tracking-by-detection with kernels
multiple object tracking by learning feature representation and distance metric jointly .
DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking
Target Tracking with Kalman Filtering
Robust object tracking via sparsity-based collaborative model
Moving Object Tracking Using Kalman Filter.
Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking
Maximum Correntropy Kalman Filter
Accurate Power Loss Model Derivation of a High-Current Dual Active Bridge Converter for an Automotive Application
Deep Ordinal Regression Network for Monocular Depth Estimation
Capacitive sensing of droplets for microfluidic devices based on thermocapillary actuation
Visual Tracking: An Experimental Survey.
VMAttack: Deobfuscating Virtualization-Based Packed Binaries