Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A survey on leveraging deep neural networks for object tracking
Spatially supervised recurrent convolutional neural networks for visual object tracking
a survey on the tracking of object in sequence image .
SANet: Structure-Aware Network for Visual Tracking
Context-aware Deep Feature Compression for High-speed Visual Tracking
A Survey on Hardware Implementations of Visual Object Trackers
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
On the usability of deep networks for object-based image analysis
Deep Metric Learning for Visual Tracking
Towards 3D object recognition via classification of arbitrary object tracks
End-to-end Active Object Tracking via Reinforcement Learning
CREST: Convolutional Residual Learning for Visual Tracking
DEEP-SEE: Joint Object Detection, Tracking and Recognition with Application to Visually Impaired Navigational Assistance
Multiple camera based multiple object tracking under occlusion: A survey
Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking
Hierarchical Convolutional Features for Visual Tracking
Recent advances on multicue object tracking: a survey
Visual Tracking with Fully Convolutional Networks
Simultaneous object detection and localization using convolutional neural networks
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking.
Low-Latency Video Semantic Segmentation
An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching
Visual tracking via adaptive structural local sparse appearance model
On-line estimation of Allan variance parameters
Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation