Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:17:08.029962Z
Paper Citation Record · LEDGER
High Performance Visual Object Tracking with Unified Convolutional Networks
As of 16 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:1908.09445.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
74 of 74 outbound references displayed
- verified exact7
- verified fuzzy59
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 87dc72cb-08a0-4c84-82e4-859635e6bcce · outbound
This paper cites Sparse representation for crowd attributes recognition,.
High Performance Visual Object Tracking with Unified Convolutional Networks Sparse representation for crowd attributes recognition,
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 20d2518f-e000-4161-b815-7c491f421d85 · outbound
This paper cites Research on automatic parking systems based on parking scene recognition,.
High Performance Visual Object Tracking with Unified Convolutional Networks Research on automatic parking systems based on parking scene recognition,
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c6183c24-6565-4203-b43c-9b3bd6af0c17 · outbound
This paper cites FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks.
High Performance Visual Object Tracking with Unified Convolutional Networks FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47025c46-861c-4583-a4df-5e9198e3a48a · outbound
This paper cites Exploiting Offset-guided Network for Pose Estimation and Tracking.
High Performance Visual Object Tracking with Unified Convolutional Networks Exploiting Offset-guided Network for Pose Estimation and Tracking
Reference 4
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91b9b435-4e14-4bdf-922a-5d60658753c5 · outbound
This paper cites State-aware re-identification feature for multi-target multi-camera tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks State-aware re-identification feature for multi-target multi-camera tracking,
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7919de92-26c8-47bc-be3f-91d198c53631 · outbound
This paper cites Selection of observation position and orientation in visual servoing with eye-in-vehicle configuration for manipulator,.
High Performance Visual Object Tracking with Unified Convolutional Networks Selection of observation position and orientation in visual servoing with eye-in-vehicle configuration for manipulator,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a7acd3d5-c318-4316-9ed9-26925e1372f5 · outbound
This paper cites Adaptive tra- jectory tracking of wheeled mobile robots based on a fish-eye camera,.
High Performance Visual Object Tracking with Unified Convolutional Networks Adaptive tra- jectory tracking of wheeled mobile robots based on a fish-eye camera,
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e3953693-da33-493d-a578-4fdf7e34b253 · outbound
This paper cites A velocity compensation visual servo method for oculomotor con- trol of bionic eyes,.
High Performance Visual Object Tracking with Unified Convolutional Networks A velocity compensation visual servo method for oculomotor con- trol of bionic eyes,
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9c406f5-8b45-429d-9476-70475acb0db1 · outbound
This paper cites Motion control in saccade and smooth pursuit for bionic eye based on three- dimensional coordinates,.
High Performance Visual Object Tracking with Unified Convolutional Networks Motion control in saccade and smooth pursuit for bionic eye based on three- dimensional coordinates,
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e75d2bd-e359-4887-895d-df3aaadd3840 · outbound
This paper cites Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes.
High Performance Visual Object Tracking with Unified Convolutional Networks Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes
Reference 10
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f9a07b4-85de-4da3-90d4-d4031cdd22d8 · outbound
This paper cites Optical Flow Based Online Moving Foreground Analysis.
High Performance Visual Object Tracking with Unified Convolutional Networks Optical Flow Based Online Moving Foreground Analysis
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:17:08.269324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7d5e4bde-e85f-4f50-9a79-a797c37f8497 · outbound
This paper cites An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes.
High Performance Visual Object Tracking with Unified Convolutional Networks An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:17:08.243766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06d3cafe-3ec7-487a-b43e-bab80db6bde6 · outbound
This paper cites Motion cue based instance-level moving object detection,.
High Performance Visual Object Tracking with Unified Convolutional Networks Motion cue based instance-level moving object detection,
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 158cf080-787a-4385-a2fe-fb02f628ca85 · outbound
This paper cites Std: A stereo tracking dataset for evaluating binocular tracking algorithms,.
High Performance Visual Object Tracking with Unified Convolutional Networks Std: A stereo tracking dataset for evaluating binocular tracking algorithms,
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b2bd6df-fc70-47a9-a0fe-7b17d6f2dc0c · outbound
This paper cites Object tracking benchmark,.
High Performance Visual Object Tracking with Unified Convolutional Networks Object tracking benchmark,
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0c018eed-2d76-420e-9e52-18203ec62069 · outbound
This paper cites Visual tracking: An exper- imental survey,.
High Performance Visual Object Tracking with Unified Convolutional Networks Visual tracking: An exper- imental survey,
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 525c7741-5105-45d0-9145-8361cb4cf6a6 · outbound
This paper cites The sixth visual object tracking vot2018 challenge results,.
High Performance Visual Object Tracking with Unified Convolutional Networks The sixth visual object tracking vot2018 challenge results,
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1b55746-5770-45a5-9cd9-211d560535ad · outbound
This paper cites The visual object tracking vot2015 challenge results,.
High Performance Visual Object Tracking with Unified Convolutional Networks The visual object tracking vot2015 challenge results,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:09.172345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1fc7a8ce-02b7-4636-9c3e-be2c63c3355b · outbound
This paper cites Online object tracking with sparse prototypes,.
High Performance Visual Object Tracking with Unified Convolutional Networks Online object tracking with sparse prototypes,
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 117aefe4-78d9-4ff4-87fe-ff4d20779410 · outbound
This paper cites Inverse sparse tracker with a locally weighted distance metric,.
High Performance Visual Object Tracking with Unified Convolutional Networks Inverse sparse tracker with a locally weighted distance metric,
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3594f549-7a50-4f6d-a811-025ef1389b56 · outbound
This paper cites Struck: Structured output tracking with kernels,.
High Performance Visual Object Tracking with Unified Convolutional Networks Struck: Structured output tracking with kernels,
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5bce6619-c19b-443c-ba46-0dc14f649b12 · outbound
This paper cites Real-time tracking via on-line boosting,.
High Performance Visual Object Tracking with Unified Convolutional Networks Real-time tracking via on-line boosting,
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e321f8dc-f5c6-47d0-bc19-af9d7508dd28 · outbound
This paper cites Robust object tracking with online multiple instance learning,.
High Performance Visual Object Tracking with Unified Convolutional Networks Robust object tracking with online multiple instance learning,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:09.088469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69a653e1-065f-48f2-98fd-ba25adbbefc4 · outbound
This paper cites High-speed tracking with kernelized correlation filters,.
High Performance Visual Object Tracking with Unified Convolutional Networks High-speed tracking with kernelized correlation filters,
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d3853206-34b1-45ad-8338-b863104e1dd6 · outbound
This paper cites Learning spatially regularized correlation filters for vi- sual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Learning spatially regularized correlation filters for vi- sual tracking,
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2582b3f7-1300-404a-9d6d-f15cb7f08f0a · outbound
This paper cites Long- term correlation tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Long- term correlation tracking,
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b91dde52-a88d-4fbf-a63c-0dcfc19ccc18 · outbound
This paper cites A scale adaptive kernel correlation filter tracker with feature integration,.
High Performance Visual Object Tracking with Unified Convolutional Networks A scale adaptive kernel correlation filter tracker with feature integration,
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dff9d339-d178-4edc-a1f6-082205d28fb3 · outbound
This paper cites Ex- ploiting the circulant structure of tracking-by-detection with kernels,.
High Performance Visual Object Tracking with Unified Convolutional Networks Ex- ploiting the circulant structure of tracking-by-detection with kernels,
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 598da227-3b51-4f44-a509-e50354d77173 · outbound
This paper cites Discriminative scale space tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Discriminative scale space tracking,
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation edb419b0-39b5-4b62-9739-7aa0b84ec67f · outbound
This paper cites Learning background-aware correlation filters for visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Learning background-aware correlation filters for visual tracking,
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 079640e9-feef-4286-a946-46589021d212 · outbound
This paper cites Imagenet classification with deep convolutional neural networks,.
High Performance Visual Object Tracking with Unified Convolutional Networks Imagenet classification with deep convolutional neural networks,
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ece2480c-b43a-4f71-beb8-c1149564701a · outbound
This paper cites Deep resid- ual learning for image recognition,.
High Performance Visual Object Tracking with Unified Convolutional Networks Deep resid- ual learning for image recognition,
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b165e19c-e904-4311-ba21-23e3bf5c4ec8 · outbound
This paper cites Faster r-cnn: towards real-time object detection with region proposal networks,.
High Performance Visual Object Tracking with Unified Convolutional Networks Faster r-cnn: towards real-time object detection with region proposal networks,
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 759d49eb-a29b-4c78-b17b-0bceeb8e8351 · outbound
This paper cites Fully convolu- tional networks for semantic segmentation,.
High Performance Visual Object Tracking with Unified Convolutional Networks Fully convolu- tional networks for semantic segmentation,
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e826822-3165-4480-ae53-393843f68501 · outbound
This paper cites Hi- erarchical convolutional features for visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Hi- erarchical convolutional features for visual tracking,
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 58e88c15-749f-4f3e-968a-4ca7b4053dc0 · outbound
This paper cites Hedged deep tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Hedged deep tracking,
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bfa5d6aa-6328-4bb8-b3b3-9099b9b3ef4d · outbound
This paper cites Beyond correlation filters: Learning continuous convo- lution operators for visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Beyond correlation filters: Learning continuous convo- lution operators for visual tracking,
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 739597ea-b92b-4d32-97dd-0a1336e94372 · outbound
This paper cites Convolutional features for correlation filter based visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Convolutional features for correlation filter based visual tracking,
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9a16c30e-9720-4ee1-ae50-f14fb7e618d1 · outbound
This paper cites Fully-convolutional siamese networks for object tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Fully-convolutional siamese networks for object tracking,
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8a6a37b0-9c88-4045-ad0a-918c28865c0d · outbound
This paper cites Visual track- ing with fully convolutional networks,.
High Performance Visual Object Tracking with Unified Convolutional Networks Visual track- ing with fully convolutional networks,
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 48a08e09-35f5-470a-bb66-bb26c2d491fa · outbound
This paper cites The visual object tracking vot2016 challenge results,.
High Performance Visual Object Tracking with Unified Convolutional Networks The visual object tracking vot2016 challenge results,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.795131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9feeb1c-b3b6-41ab-977a-4382d2518d7e · outbound
This paper cites UCT: Learning unified convolutional networks for real-time visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks UCT: Learning unified convolutional networks for real-time visual tracking,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.778025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84de5e56-0774-4b42-be42-c107f6219ab6 · outbound
This paper cites Two-stream gated fusion convnets for action recognition,.
High Performance Visual Object Tracking with Unified Convolutional Networks Two-stream gated fusion convnets for action recognition,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.760643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb4fcd4c-ddf7-4941-bf0e-e93adddd0c38 · outbound
This paper cites Attention-guided unified network for panoptic segmentation,.
High Performance Visual Object Tracking with Unified Convolutional Networks Attention-guided unified network for panoptic segmentation,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.744164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2011070-9f42-496f-8d44-bbd205e4e1ee · outbound
This paper cites Action Machine: Rethinking Action Recognition in Trimmed Videos.
High Performance Visual Object Tracking with Unified Convolutional Networks Action Machine: Rethinking Action Recognition in Trimmed Videos
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:17:08.218197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0bc6f8fe-bc0c-43d0-8cda-bb0a37023410 · outbound
This paper cites Learning Gating ConvNet for Two-Stream based Methods in Action Recognition.
High Performance Visual Object Tracking with Unified Convolutional Networks Learning Gating ConvNet for Two-Stream based Methods in Action Recognition
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:17:08.192418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6247962e-d6a7-473f-b5af-c967d575ebd2 · outbound
This paper cites Transferring Rich Feature Hierarchies for Robust Visual Tracking.
High Performance Visual Object Tracking with Unified Convolutional Networks Transferring Rich Feature Hierarchies for Robust Visual Tracking
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:17:07.879815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e08d70c3-93e7-4090-8288-c72e9b5de361 · outbound
This paper cites Deeptrack: Learning dis- criminative feature representations online for robust vi- sual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Deeptrack: Learning dis- criminative feature representations online for robust vi- sual tracking,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.728020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cdb80473-b21a-45d7-945c-49db82877881 · outbound
This paper cites Multi-hierarchical Independent Correlation Filters for Visual Tracking.
High Performance Visual Object Tracking with Unified Convolutional Networks Multi-hierarchical Independent Correlation Filters for Visual Tracking
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:17:08.142609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 381eeb05-b51f-490a-854f-8432390765df · outbound
This paper cites Learning multi-domain convolu- tional neural networks for visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Learning multi-domain convolu- tional neural networks for visual tracking,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.710872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a78a8f58-6337-48f1-9447-26b2ce4ae1c9 · outbound
This paper cites Template matching using fast normalized cross correlation,.
High Performance Visual Object Tracking with Unified Convolutional Networks Template matching using fast normalized cross correlation,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.693155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb95a89c-28ce-4ccd-bf4f-37f12b0e89a8 · outbound
This paper cites Real-time track- ing of non-rigid objects using mean shift,.
High Performance Visual Object Tracking with Unified Convolutional Networks Real-time track- ing of non-rigid objects using mean shift,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.676935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d79c3d05-f987-40d3-b848-f8fa7237fa4b · outbound
This paper cites Visual object tracking using adaptive correlation filters,.
High Performance Visual Object Tracking with Unified Convolutional Networks Visual object tracking using adaptive correlation filters,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.659147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5013d76e-0b68-44b7-850f-dacf3e48e415 · outbound
This paper cites Staple: Complementary learners for real- time tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Staple: Complementary learners for real- time tracking,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.642551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c1e1e120-c642-47e8-866d-d64c4d0a622d · outbound
This paper cites Correla- tion filters with limited boundaries,.
High Performance Visual Object Tracking with Unified Convolutional Networks Correla- tion filters with limited boundaries,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.623865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7bc83923-2d69-4c7c-9a43-6ba62fc9ca4d · outbound
This paper cites Learning to track at 100 fps with deep regression networks,.
High Performance Visual Object Tracking with Unified Convolutional Networks Learning to track at 100 fps with deep regression networks,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.606372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7cd4197c-f051-46e9-b08e-98b58740eab3 · outbound
This paper cites End-to-end representation learning for correlation filter based tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks End-to-end representation learning for correlation filter based tracking,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.589204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 13b0742b-eedc-451d-adeb-9f81c497f0cd · outbound
This paper cites DCFNet: Discriminant Correlation Filters Network for Visual Tracking.
High Performance Visual Object Tracking with Unified Convolutional Networks DCFNet: Discriminant Correlation Filters Network for Visual Tracking
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:17:07.939798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00f792ba-cb4d-4e04-999d-47d32be98a31 · outbound
This paper cites End-to-end flow correlation tracking with spatial-temporal attention,.
High Performance Visual Object Tracking with Unified Convolutional Networks End-to-end flow correlation tracking with spatial-temporal attention,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.571266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd9a0de3-493c-47d4-b44b-086a0ab26ee9 · outbound
This paper cites End-to-end video-level representation learning for action recognition,.
High Performance Visual Object Tracking with Unified Convolutional Networks End-to-end video-level representation learning for action recognition,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.552105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 92f2473c-c0a6-4103-a3ac-18a2d0390494 · outbound
This paper cites High performance visual tracking with siamese region proposal network,.
High Performance Visual Object Tracking with Unified Convolutional Networks High performance visual tracking with siamese region proposal network,
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:17:07.957083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3b2abea-a567-49ae-ac17-aeae9e194aec · outbound
This paper cites Distractor-aware siamese networks for visual object tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Distractor-aware siamese networks for visual object tracking,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.523405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 887c4d53-a424-49f9-8737-9bbf5e40114a · outbound
This paper cites DenseBox: Unifying Landmark Localization with End to End Object Detection.
High Performance Visual Object Tracking with Unified Convolutional Networks DenseBox: Unifying Landmark Localization with End to End Object Detection
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:17:07.966774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b19bb41-f9b4-4255-9c10-3c32629288ed · outbound
This paper cites Learning a deep compact im- age representation for visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Learning a deep compact im- age representation for visual tracking,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.506636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4db4af5-dd26-4ca8-8efd-f608dd0eeb55 · outbound
This paper cites Online object tracking: A benchmark,.
High Performance Visual Object Tracking with Unified Convolutional Networks Online object tracking: A benchmark,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.489457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4edab244-8a2b-4685-8d26-0a5f1ee66768 · outbound
This paper cites The visual object tracking vot2015 challenge results,.
High Performance Visual Object Tracking with Unified Convolutional Networks The visual object tracking vot2015 challenge results,
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.471986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca3dfd43-e18b-442e-9fcc-d20bf87010ed · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
High Performance Visual Object Tracking with Unified Convolutional Networks Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:17:07.989372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0db610fd-45c2-4fb2-b6e3-3be25ab0dae3 · outbound
This paper cites Visualizing and under- standing convolutional networks,.
High Performance Visual Object Tracking with Unified Convolutional Networks Visualizing and under- standing convolutional networks,
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.453996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5b0470c-3b0a-4e0d-931c-183098b54b7a · outbound
This paper cites ImageNet Large Scale Visual Recognition Challenge,.
High Performance Visual Object Tracking with Unified Convolutional Networks ImageNet Large Scale Visual Recognition Challenge,
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:17:08.001388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 182d9cd6-168f-4a6f-8297-8492ce0171d3 · outbound
This paper cites Caffe: Convolutional architecture for fast feature embedding,.
High Performance Visual Object Tracking with Unified Convolutional Networks Caffe: Convolutional architecture for fast feature embedding,
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.424373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d3783e9-1cc2-49e7-8e2c-7c10b24658b0 · outbound
This paper cites Parallel tracking and verifying: A framework for real-time and high accuracy visual tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Parallel tracking and verifying: A framework for real-time and high accuracy visual tracking,
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.407189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bc4fa692-eb39-4a0a-be0f-6160fba59790 · outbound
This paper cites Context-aware correlation filter tracking,.
High Performance Visual Object Tracking with Unified Convolutional Networks Context-aware correlation filter tracking,
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.390072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 412f9d43-3d23-4d9a-abf4-779c304d3932 · outbound
This paper cites Discriminative correlation filter with channel and spatial reliability,.
High Performance Visual Object Tracking with Unified Convolutional Networks Discriminative correlation filter with channel and spatial reliability,
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.373346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8fa5bb61-502f-4c70-9749-888e50f4bb9d · outbound
This paper cites Visual tracking using attention- modulated disintegration and integration,.
High Performance Visual Object Tracking with Unified Convolutional Networks Visual tracking using attention- modulated disintegration and integration,
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:17:08.355127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.