On the public citation graph
Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking
0 signed · 126 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10578-9_13openalex-snapshot
Transfer Learning Based Visual Tracking with Gaussian Processes Regression
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_13openalex-snapshot
MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_9openalex-snapshot
Fast Visual Tracking via Dense Spatio-temporal Context Learning
inferredcites →https://doi.org/10.1007/978-3-319-16181-5_14openalex-snapshot
The Visual Object Tracking VOT2014 Challenge Results
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_45openalex-snapshot
Learning to Track at 100 FPS with Deep Regression Networks
inferredcites →https://doi.org/10.1007/978-3-319-48881-3_56openalex-snapshot
Fully-Convolutional Siamese Networks for Object Tracking
inferredcites →https://doi.org/10.1007/978-3-540-88682-2_19openalex-snapshot
Semi-supervised On-Line Boosting for Robust Tracking
inferredcites →https://doi.org/10.1007/s11263-007-0075-7openalex-snapshot
Incremental Learning for Robust Visual Tracking
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/cvpr.2012.6247881openalex-snapshot
Real time robust L1 tracker using accelerated proximal gradient approach
inferredcites →https://doi.org/10.1109/cvpr.2012.6247882openalex-snapshot
Robust object tracking via sparsity-based collaborative model
inferredcites →https://doi.org/10.1109/cvpr.2013.312openalex-snapshot
Online Object Tracking: A Benchmark
inferredcites →https://doi.org/10.1109/cvpr.2016.153openalex-snapshot
STCT: Sequentially Training Convolutional Networks for Visual Tracking
inferredcites →https://doi.org/10.1109/cvpr.2016.156openalex-snapshot
Staple: Complementary Learners for Real-Time Tracking
inferredcites →https://doi.org/10.1109/cvpr.2016.158openalex-snapshot
Siamese Instance Search for Tracking
inferredcites →https://doi.org/10.1109/cvpr.2016.465openalex-snapshot
Learning Multi-domain Convolutional Neural Networks for Visual Tracking
inferredcites →https://doi.org/10.1109/iccv.2011.6126251openalex-snapshot
Struck: Structured output tracking with kernels
inferredcites →https://doi.org/10.1109/iccv.2015.352openalex-snapshot
Hierarchical Convolutional Features for Visual Tracking
inferredcites →https://doi.org/10.1109/iccv.2015.357openalex-snapshot
Visual Tracking with Fully Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.490openalex-snapshot
Learning Spatially Regularized Correlation Filters for Visual Tracking
inferredcites →https://doi.org/10.1109/iccvw.2013.20openalex-snapshot
Notice of Removal: The Visual Object Tracking VOT2013 Challenge Results
inferredcites →https://doi.org/10.1109/tpami.2010.226openalex-snapshot
Robust Object Tracking with Online Multiple Instance Learning
inferredcites →https://doi.org/10.1109/tpami.2013.230openalex-snapshot
Visual Tracking: An Experimental Survey
inferredcites →https://doi.org/10.1109/tpami.2014.2345390openalex-snapshot
High-Speed Tracking with Kernelized Correlation Filters
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1502.06796openalex-snapshot
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
inferredcites →https://doi.org/10.5244/c.28.56openalex-snapshot
DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking
inferredcites →https://doi.org/10.5244/c.28.65openalex-snapshot
Accurate Scale Estimation for Robust Visual Tracking
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-01240-3_34openalex-snapshot
Joint Representation and Truncated Inference Learning for Correlation Filter Based Tracking
inferred← citeshttps://doi.org/10.1007/978-3-030-58595-2_9openalex-snapshot
BioMetricNet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaussian Distributions
inferred← citeshttps://doi.org/10.1007/978-3-030-69532-3_32openalex-snapshot
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking
inferred← citeshttps://doi.org/10.1007/978-3-030-69532-3_37openalex-snapshot
Adversarial Semi-supervised Multi-domain Tracking
inferred← citeshttps://doi.org/10.1007/978-3-319-48881-3_56openalex-snapshot
Fully-Convolutional Siamese Networks for Object Tracking
inferred← citeshttps://doi.org/10.1007/978-3-319-97304-3_58openalex-snapshot
Siamese Network Based Features Fusion for Adaptive Visual Tracking
inferred← citeshttps://doi.org/10.1007/978-981-13-0469-9_7openalex-snapshot
Visual Tracking Based on Deep Learning
inferred← citeshttps://doi.org/10.1007/s00138-018-0947-6openalex-snapshot
Hierarchical convolutional features for end-to-end representation-based visual tracking
inferred← citeshttps://doi.org/10.1007/s00371-020-01848-yopenalex-snapshot
A survey on online learning for visual tracking
inferred← citeshttps://doi.org/10.1007/s10489-020-02047-xopenalex-snapshot
Occluded object tracking using object-background prototypes and particle filter
inferred← citeshttps://doi.org/10.1007/s11554-019-00922-6openalex-snapshot
Siamese network for real-time tracking with action-selection
inferred← citeshttps://doi.org/10.1007/s11768-025-00251-zopenalex-snapshot
Effective convolution mixed Transformer Siamese network for robust visual tracking
inferred← citeshttps://doi.org/10.1007/s11831-022-09772-1openalex-snapshot
A Review of Deep Learning Techniques for Crowd Behavior Analysis
inferred← citeshttps://doi.org/10.1016/j.cviu.2018.05.009openalex-snapshot
Real-time visual tracking by deep reinforced decision making
inferred← citeshttps://doi.org/10.1016/j.imavis.2019.02.003openalex-snapshot
Visual object tracking based on adaptive Siamese and motion estimation network
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102635openalex-snapshot
Visual tracking via dynamic weighting with pyramid-redetection based Siamese networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.11.050openalex-snapshot
Visual tracking using Siamese convolutional neural network with region proposal and domain specific updating
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.07.010openalex-snapshot
Multi-layer convolutional network-based visual tracking via important region selection
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.118openalex-snapshot
AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking
inferred← citeshttps://doi.org/10.1016/j.patcog.2017.11.007openalex-snapshot
Deep visual tracking: Review and experimental comparison
inferred← citeshttps://doi.org/10.1016/j.procs.2019.06.022openalex-snapshot
SiaMemory: Target Tracking
inferred← citeshttps://doi.org/10.1049/iet-cvi.2018.5546openalex-snapshot
Relay dueling network for visual tracking with broad field‐of‐view
inferred← citeshttps://doi.org/10.1049/iet-cvi.2018.5826openalex-snapshot
Visual tracking based on semantic and similarity learning
inferred← citeshttps://doi.org/10.1049/ipr2.12009openalex-snapshot
End‐to‐end feature fusion Siamese network for adaptive visual tracking
inferred← citeshttps://doi.org/10.1063/5.0154881openalex-snapshot
Optimizing Siamese neural network with TensorRT on NVIDIA jetson nano
inferred← citeshttps://doi.org/10.1080/10095020.2024.2305912openalex-snapshot
Single target tracking in high-resolution satellite videos: a comprehensive review
inferred← citeshttps://doi.org/10.1088/1742-6596/1176/3/032035openalex-snapshot
Visual Target Tracking Based on Online Discriminant Feature Enhancement
inferred← citeshttps://doi.org/10.1109/access.2018.2862878openalex-snapshot
Domain Adaptation Tracker With Global and Local Searching
inferred← citeshttps://doi.org/10.1109/access.2019.2938187openalex-snapshot
Multi-Cue Cascades for Robust Visual Tracking
inferred← citeshttps://doi.org/10.1109/access.2020.3005511openalex-snapshot
Deeper Siamese Network With Stronger Feature Representation for Visual Tracking
inferred← citeshttps://doi.org/10.1109/access.2020.3024583openalex-snapshot
Focus First: Coarse-to-Fine Traffic Sign Detection With Stepwise Learning
inferred← citeshttps://doi.org/10.1109/access.2020.3045036openalex-snapshot
Co-Inference Discriminative Tracking Through Multi-Task Siamese Network
inferred← citeshttps://doi.org/10.1109/access.2021.3101988openalex-snapshot
Siamese Visual Object Tracking: A Survey
inferred← citeshttps://doi.org/10.1109/access.2021.3108623openalex-snapshot
On the Use of Deep Reinforcement Learning for Visual Tracking: A Survey
inferred← citeshttps://doi.org/10.1109/access.2023.3298440openalex-snapshot
Transformers in Single Object Tracking: An Experimental Survey
inferred← citeshttps://doi.org/10.1109/acpr.2017.92openalex-snapshot
Robust Lane Detection and Tracking with Propagated Spatio-temporal Constraints
inferred← citeshttps://doi.org/10.1109/cvpr.2017.531openalex-snapshot
End-to-End Representation Learning for Correlation Filter Based Tracking
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00160openalex-snapshot
JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems
inferred← citeshttps://doi.org/10.1109/iccke48569.2019.8964761openalex-snapshot
Object Tracking Methods:A Review
inferred← citeshttps://doi.org/10.1109/iccv.2017.129openalex-snapshot
Learning Background-Aware Correlation Filters for Visual Tracking
inferred← citeshttps://doi.org/10.1109/iccv.2017.130openalex-snapshot
Robust Object Tracking Based on Temporal and Spatial Deep Networks
inferred← citeshttps://doi.org/10.1109/iccv.2017.196openalex-snapshot
Learning Dynamic Siamese Network for Visual Object Tracking
inferred← citeshttps://doi.org/10.1109/icip.2018.8451440openalex-snapshot
Generating Reliable Online Adaptive Templates for Visual Tracking
inferred← citeshttps://doi.org/10.1109/icivc47709.2019.8981260openalex-snapshot
Verified Background-Aware Filters and Re-detection Tracking Algorithms
inferred← citeshttps://doi.org/10.1109/icme.2017.8019506openalex-snapshot
DenseTracker: A multi-task dense network for visual tracking
inferred← citeshttps://doi.org/10.1109/icpr.2018.8545204openalex-snapshot
Joint Identification-Verification Model for Visual Tracking
inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489227openalex-snapshot
Multi-granularity Hierarchical Attention Siamese Network for Visual Tracking
inferred← citeshttps://doi.org/10.1109/jiot.2020.3041052openalex-snapshot
Deep Siamese Cross-Residual Learning for Robust Visual Tracking
inferred← citeshttps://doi.org/10.1109/tcsvt.2018.2889488openalex-snapshot
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tcsvt.2019.2903421openalex-snapshot
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams
inferred← citeshttps://doi.org/10.1109/tcsvt.2019.2938038openalex-snapshot
Visual Tracking by Structurally Optimizing Pre-Trained CNN
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3464631openalex-snapshot
Purify Then Guide: A Bi-Directional Bridge Network for Open-Vocabulary Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2936503openalex-snapshot
Visual Object Tracking by Hierarchical Attention Siamese Network
inferred← citeshttps://doi.org/10.1109/tfuzz.2022.3170657openalex-snapshot
The Dual-Fuzzy Convolutional Neural Network to Deal With Handwritten Image Recognition
inferred← citeshttps://doi.org/10.1109/tifs.2019.2935871openalex-snapshot
Target-Specific Siamese Attention Network for Real-Time Object Tracking
inferred← citeshttps://doi.org/10.1109/tip.2018.2813166openalex-snapshot
P2T: Part-to-Target Tracking via Deep Regression Learning
inferred← citeshttps://doi.org/10.1109/tip.2018.2819362openalex-snapshot
Convolutional Regression for Visual Tracking
inferred← citeshttps://doi.org/10.1109/tip.2020.3014952openalex-snapshot
Visual Tracking With Multiview Trajectory Prediction
inferred← citeshttps://doi.org/10.1109/tip.2020.3036723openalex-snapshot
Siamese Regression Tracking With Reinforced Template Updating
inferred← citeshttps://doi.org/10.1109/tits.2020.3046478openalex-snapshot
Deep Learning for Visual Tracking: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/tmm.2018.2846405openalex-snapshot
Learning Linear Regression via Single-Convolutional Layer for Visual Object Tracking
inferred← citeshttps://doi.org/10.1109/tmm.2019.2922125openalex-snapshot
Deep Position-Sensitive Tracking
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3136907openalex-snapshot
Deep Learning in Visual Tracking: A Review
inferred← citeshttps://doi.org/10.1145/3474085.3475387openalex-snapshot
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
inferred← citeshttps://doi.org/10.1145/3507548.3507553openalex-snapshot
Modified Kernelized Correlation Filter Tracker Based on Saliency Detection and Reliability Judgment
inferred← citeshttps://doi.org/10.1145/3581783.3611935openalex-snapshot
Follow-me: Deceiving Trackers with Fabricated Paths
inferred← citeshttps://doi.org/10.1177/01423312211002795openalex-snapshot
Deep regression of convolutional neural network applied to resolved acceleration control for a robot manipulator
inferred← citeshttps://doi.org/10.13052/rp-9788770226103openalex-snapshot
Intelligent Edge-Embedded Technologies for Digitising Industry
inferred← citeshttps://doi.org/10.1371/journal.pone.0245259openalex-snapshot
Application of deep learning in automatic detection of technical and tactical indicators of table tennis
inferred← citeshttps://doi.org/10.1587/transinf.2019edp7240openalex-snapshot
Real-Time Generic Object Tracking via Recurrent Regression Network
inferred← citeshttps://doi.org/10.3390/app10020713openalex-snapshot
Fast and Robust Object Tracking Using Tracking Failure Detection in Kernelized Correlation Filter
inferred← citeshttps://doi.org/10.3390/app10217780openalex-snapshot
Visual Tracking Using Wang–Landau Reinforcement Sampler
inferred← citeshttps://doi.org/10.3390/app12062771openalex-snapshot
Cell-Based Target Localization and Tracking with an Active Camera
inferred← citeshttps://doi.org/10.3390/electronics11030345openalex-snapshot
Multiple Cues-Based Robust Visual Object Tracking Method
inferred← citeshttps://doi.org/10.3390/electronics9111918openalex-snapshot
Siamese High-Level Feature Refine Network for Visual Object Tracking
inferred← citeshttps://doi.org/10.3390/s24010240openalex-snapshot
Research on Convolutional Neural Network Inference Acceleration and Performance Optimization for Edge Intelligence
inferred← citeshttps://doi.org/10.3390/s24248120openalex-snapshot
Confidence-Guided Frame Skipping to Enhance Object Tracking Speed
inferred← citeshttps://doi.org/10.3837/tiis.2020.03.012openalex-snapshot
Visual Object Tracking Fusing CNN and Color Histogram based Tracker and Depth Estimation for Automatic Immersive Audio Mixing
inferred← citeshttps://doi.org/10.48550/arxiv.1606.09549openalex-snapshot
Fully-Convolutional Siamese Networks for Object Tracking
inferred← citeshttps://doi.org/10.48550/arxiv.1702.06291openalex-snapshot
Real-time visual tracking by deep reinforced decision making
inferred← citeshttps://doi.org/10.48550/arxiv.1703.04590openalex-snapshot
Learning Background-Aware Correlation Filters for Visual Tracking
inferred← citeshttps://doi.org/10.48550/arxiv.1707.00569openalex-snapshot
An In-Depth Analysis of Visual Tracking with Siamese Neural Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1803.04610openalex-snapshot
Target Driven Instance Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1805.00603openalex-snapshot
Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.1812.07368openalex-snapshot
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends
inferred← citeshttps://doi.org/10.48550/arxiv.1904.02553openalex-snapshot
Generic Multiview Visual Tracking
inferred← citeshttps://doi.org/10.5194/isprs-annals-iv-1-w1-125-2017openalex-snapshot
VISUAL TRACKING UTILIZING OBJECT CONCEPT FROM DEEP LEARNING NETWORK
inferred← citeshttps://doi.org/10.5772/intechopen.101698openalex-snapshot
Siamese-Based Attention Learning Networks for Robust Visual Object Tracking
inferred← citeshttps://doi.org/10.5772/intechopen.86235openalex-snapshot
Deep Siamese Networks toward Robust Visual Tracking
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.