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Eltrack: Correlating Events and Language for Visual Tracking

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inferredcites →https://doi.org/10.1007/978-3-030-01246-5_19openalex-extracted
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
inferredcites →https://doi.org/10.1007/978-3-031-20047-2_20openalex-extracted
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
inferredcites →https://doi.org/10.1007/978-3-031-20047-2_9openalex-extracted
AiATrack: Attention in Attention for Transformer Visual Tracking
inferredcites →https://doi.org/10.1007/978-3-319-48881-3_56openalex-extracted
Fully-Convolutional Siamese Networks for Object Tracking
inferredcites →https://doi.org/10.1007/s11263-020-01387-yopenalex-extracted
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
inferredcites →https://doi.org/10.1016/j.patcog.2025.112718openalex-extracted
Revisiting color-event based tracking: A unified network, dataset, and metric
inferredcites →https://doi.org/10.1049/trit.2019.0107openalex-extracted
Object tracking on event cameras with offline–online learning
inferredcites →https://doi.org/10.1109/access.2021.3101988openalex-extracted
Siamese Visual Object Tracking: A Survey
inferredcites →https://doi.org/10.1109/cvpr.2017.777openalex-extracted
Tracking by Natural Language Specification
inferredcites →https://doi.org/10.1109/cvpr.2019.00441openalex-extracted
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00479openalex-extracted
ATOM: Accurate Tracking by Overlap Maximization
inferredcites →https://doi.org/10.1109/cvpr.2019.00552openalex-extracted
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00162openalex-extracted
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00579openalex-extracted
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00803openalex-extracted
Transformer Tracking
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01355openalex-extracted
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01324openalex-extracted
MixFormer: End-to-End Tracking with Iterative Mixed Attention
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01334openalex-extracted
Recurrent Vision Transformers for Object Detection with Event Cameras
inferredcites →https://doi.org/10.1109/cvpr52729.2023.02217openalex-extracted
Joint Visual Grounding and Tracking with Natural Language Specification
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00144openalex-extracted
v2e: From Video Frames to Realistic DVS Events
inferredcites →https://doi.org/10.1109/iccv.2019.00628openalex-extracted
Learning Discriminative Model Prediction for Tracking
inferredcites →https://doi.org/10.1109/iccv48922.2021.01028openalex-extracted
Learning Spatio-Temporal Transformer for Visual Tracking
inferredcites →https://doi.org/10.1109/iccv48922.2021.01280openalex-extracted
Object Tracking by Jointly Exploiting Frame and Event Domain
inferredcites →https://doi.org/10.1109/iccv51070.2023.00915openalex-extracted
CiteTracker: Correlating Image and Text for Visual Tracking
inferredcites →https://doi.org/10.1109/iros.2018.8593805openalex-extracted
Event-Based Moving Object Detection and Tracking
inferredcites →https://doi.org/10.1109/jsen.2019.2937304openalex-extracted
A Combined Vision-Based Multiple Object Tracking and Visual Odometry System
inferredcites →https://doi.org/10.1109/tcss.2021.3093298openalex-extracted
An Overview of Correlation-Filter-Based Object Tracking
inferredcites →https://doi.org/10.1109/tcsvt.2020.3038720openalex-extracted
Grounding-Tracking-Integration
inferredcites →https://doi.org/10.1109/tcyb.2023.3318601openalex-extracted
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
inferredcites →https://doi.org/10.1109/tiv.2020.3037928openalex-extracted
Real-Time Adaptive Object Detection and Tracking for Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tnnls.2022.3201830openalex-extracted
Neuromorphic Camera Denoising Using Graph Neural Network-Driven Transformers
inferredcites →https://doi.org/10.1109/tpami.2013.230openalex-extracted
Visual Tracking: An Experimental Survey
inferredcites →https://doi.org/10.1109/tpami.2014.2388226openalex-extracted
Object Tracking Benchmark
inferredcites →https://doi.org/10.1109/tpami.2019.2957464openalex-extracted
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
inferredcites →https://doi.org/10.1109/tpami.2022.3152247openalex-extracted
A Survey on Vision Transformer
inferredcites →https://doi.org/10.1109/tpami.2022.3212594openalex-extracted
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
inferredcites →https://doi.org/10.1145/3474085.3475349openalex-extracted
Capsule-based Object Tracking with Natural Language Specification
inferredcites →https://doi.org/10.1609/aaai.v34i07.6625openalex-extracted
End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking
inferredcites →https://doi.org/10.1609/aaai.v38i7.28591openalex-extracted
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
inferredcites →https://doi.org/10.3389/fnins.2017.00309openalex-extracted
CIFAR10-DVS: An Event-Stream Dataset for Object Classification
inferredcites →https://doi.org/10.3390/app10062024openalex-extracted
Event Density Based Denoising Method for Dynamic Vision Sensor
inferredcites →https://doi.org/10.3390/s22166090openalex-extracted
EVtracker: An Event-Driven Spatiotemporal Method for Dynamic Object Tracking
inferredcites →https://doi.org/10.3929/ethz-b-000521357openalex-extracted
Event-Based Vision: A Survey
inferredcites →https://doi.org/10.3929/ethz-b-000608965openalex-extracted
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-extracted
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1912.02048openalex-extracted
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-extracted
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2112.00995openalex-extracted
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
inferredcites →https://doi.org/10.48550/arxiv.2203.11082openalex-extracted
MixFormer: End-to-End Tracking with Iterative Mixed Attention
inferredcites →https://doi.org/10.48550/arxiv.2212.05598openalex-extracted
Recurrent Vision Transformers for Object Detection with Event Cameras
inferredcites →https://doi.org/10.48550/arxiv.2301.12597openalex-extracted
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
inferredcites →https://doi.org/10.52202/068431-0321openalex-extracted
Divert More Attention to Vision-Language Tracking
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