Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: CREST: Convolutional Residual Learning for Visual Tracking
Learning Multi-domain Convolutional Neural Networks for Visual Tracking
Distractor-aware Siamese Networks for Visual Object Tracking
Context-aware Deep Feature Compression for High-speed Visual Tracking
Visual Tracking with Fully Convolutional Networks
High Performance Visual Tracking with Siamese Region Proposal Network
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
Convolutional Features for Correlation Filter Based Visual Tracking
FasterMDNet: Learning model adaptation by RNN in tracking-by-detection based visual tracking
Re3 : Real-Time Recurrent Regression Networks for Object Tracking
Robust Visual Tracking via MultiTask Sparse Learning
Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching
Learning a Deep Compact Image Representation for Visual Tracking
Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches
Attentional Correlation Filter Network for Adaptive Visual Tracking
Adversarial Feature Sampling Learning for Efficient Visual Tracking
Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions
Deep Reinforcement Learning for Visual Object Tracking in Videos
SANet: Structure-Aware Network for Visual Tracking
Depth Estimation from Single Image Using CNN-Residual Network
Towards a Better Match in Siamese Network Based Visual Object Tracker
A 28-Gb/s 4.5-pJ/bit transceiver with 1-tap decision feedback equalizer in 28-nm CMOS
Socioeconomic differences in attitudes and beliefs about healthy lifestyles
Soft robotics: Definition and research issues
Robust online appearance models for visual tracking
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer