Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:35.750104Z
Paper Citation Record · LEDGER
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
As of 15 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2507.00648.
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 2026-08-14T06:32:32.682623+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
55 of 55 outbound references displayed
- verified exact0
- verified fuzzy47
- unresolved8
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- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a1dc875b-8186-498c-824c-c663f21c1495 · outbound
This paper cites Ar- trackv2: Prompting autoregressive tracker where to look and how to describe.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Ar- trackv2: Prompting autoregressive tracker where to look and how to describe
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:43.220029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9f70ccd9-49a9-4ca4-be4f-210335b202e6 · outbound
This paper cites Learning discriminative model prediction for track- ing.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning discriminative model prediction for track- ing
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:43.095342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8c52a87f-0655-4e70-85f0-6b02fb0f7230 · outbound
This paper cites Hiptrack: Vi- sual tracking with historical prompts.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Hiptrack: Vi- sual tracking with historical prompts
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:42.901577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c02dbf67-9acd-4a32-a701-dcf88eaf8762 · outbound
This paper cites Robust object modeling for visual tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Robust object modeling for visual tracking
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b7452db8-4296-4d91-b985-01de2bbe6e88 · outbound
This paper cites Seqtrack: Sequence to sequence learning for visual object tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Seqtrack: Sequence to sequence learning for visual object tracking
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 15b173e0-7f08-4a0e-bb81-43f577381f90 · outbound
This paper cites Siamese box adaptive network for visual tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Siamese box adaptive network for visual tracking
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:42.511730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 97a7c70a-8cbf-4267-b39c-74397aa22f61 · outbound
This paper cites Optimal transport for domain adaptation.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Optimal transport for domain adaptation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:42.380191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a540c1e8-d612-4819-837d-acf05bb59648 · outbound
This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Sinkhorn distances: Lightspeed computation of optimal transport
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:42.227629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 15ace565-163a-4ed3-b4dc-02256c3a09bc · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions An image is worth 16x16 words: Transformers for image recognition at scale
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:18:32.179540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36bbcc71-2e31-4e6a-b0b9-5b536823b118 · outbound
This paper cites Lasot: A high-quality benchmark for large-scale single object tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Lasot: A high-quality benchmark for large-scale single object tracking
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:42.096435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dbcf02bd-3685-4971-b545-35b6ce6abcc0 · outbound
This paper cites Highlightnet: Highlighting low-light potential features for real-time UA V tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Highlightnet: Highlighting low-light potential features for real-time UA V tracking
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:41.951151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b7d22c1f-c1cd-459d-bb18-c7da39ede3ec · outbound
This paper cites SAM-DA: UA V Tracks Anything at Night with SAM-Powered Domain Adaptation.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions SAM-DA: UA V Tracks Anything at Night with SAM-Powered Domain Adaptation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:41.802794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a14631d6-3f7a-421b-a0c4-1d33047daff7 · outbound
This paper cites Expressive text-to-image generation with rich text.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Expressive text-to-image generation with rich text
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:41.649855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 33623773-9dcd-4299-b731-26c008914538 · outbound
This paper cites Separable self and mixed attention transformers for efficient object tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Separable self and mixed attention transformers for efficient object tracking
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:41.499114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1b312253-c7e6-4757-80b0-d17917c513e2 · outbound
This paper cites Visualizing data using t-sne journal of machine learning research.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Visualizing data using t-sne journal of machine learning research
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:41.298593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bd60b025-e771-4200-8ac4-acb95a5359ef · outbound
This paper cites SOOD: towards semi- supervised oriented object detection.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions SOOD: towards semi- supervised oriented object detection
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:41.156619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ea2f0260-a73d-4b4e-b10a-0ebeed992040 · outbound
This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Got-10k: A large high-diversity benchmark for generic object tracking in the wild
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:41.016389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e80d2524-822d-49e5-ab2e-14fa2c0dff6c · outbound
This paper cites an unresolved cited work.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:18:40.857201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation aeee1519-6bc4-4c52-bc5f-46baacbdcbb7 · outbound
This paper cites Adtrack: Target-aware dual filter learning for real-time anti-dark UA V tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adtrack: Target-aware dual filter learning for real-time anti-dark UA V tracking
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:40.681652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation eab92a42-cf8f-470d-94ef-c31374cef24e · outbound
This paper cites Siamrpn++: Evolution of siamese visual tracking with very deep networks.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Siamrpn++: Evolution of siamese visual tracking with very deep networks
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 2026-08-14T06:32:32.682623+00:00.
Observation 03f27a9e-6e7a-47ed-806e-334ed9578856 · outbound
This paper cites High performance visual tracking with siamese region proposal network.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions High performance visual tracking with siamese region proposal network
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:40.399249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d37d1f90-6179-4840-a4e3-2d631be04678 · outbound
This paper cites Visual object tracking for un- manned aerial vehicles: A benchmark and new motion models.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Visual object tracking for un- manned aerial vehicles: A benchmark and new motion models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:40.257699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c50c65f7-05f3-4bc9-9aae-d70a0f0e5a05 · outbound
This paper cites Training-Free Model Merging for Multi-target Domain Adaptation.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Training-Free Model Merging for Multi-target Domain Adaptation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:18:33.327921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cb90988-2679-4164-8f3a-a9e752aee3c3 · outbound
This paper cites Sigma: Semantic- complete graph matching for domain adaptive object detec- tion.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Sigma: Semantic- complete graph matching for domain adaptive object detec- tion
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:40.085638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c81498ac-f67f-49db-974f-27896400e0a8 · outbound
This paper cites Learning adaptive and view-invariant vision transformer for real-time uav tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning adaptive and view-invariant vision transformer for real-time uav tracking
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:39.949909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 49277b98-29ac-47de-b6fc-acbec48ae24b · outbound
This paper cites Microsoft coco: Common objects in context.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Microsoft coco: Common objects in context
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:18:33.552628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 738178a3-1397-4154-8885-e0bf1ea62e45 · outbound
This paper cites Breuel, and Jan Kautz.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Breuel, and Jan Kautz
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:39.808083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3ca2c4fc-c3be-4aeb-8261-cfc2783855e2 · outbound
This paper cites Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:18:33.693366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ca8a324-9578-4f37-b0f2-f6df4d481995 · outbound
This paper cites Trackingnet: A large-scale dataset and benchmark for object tracking in the wild.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:39.661713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b5e3f2c7-e884-4418-b16a-d56d6df6d877 · outbound
This paper cites GLIDE: towards photorealistic image gen- eration and editing with text-guided diffusion models.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions GLIDE: towards photorealistic image gen- eration and editing with text-guided diffusion models
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:39.500287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3d174cec-3858-4abe-848c-bc31f4c868b6 · outbound
This paper cites Avist: A benchmark for visual object tracking in adverse visibility.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Avist: A benchmark for visual object tracking in adverse visibility
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:39.363526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4a6ac59d-5a32-4372-93eb-ced43d26f369 · outbound
This paper cites Zero-shot text-to-image generation.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Zero-shot text-to-image generation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:39.247315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ffe1a454-6013-4668-9e13-33cd11ef8b03 · outbound
This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Generalized in- tersection over union: A metric and a loss for bounding box regression
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:39.094000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f2e84d14-5415-45ae-9ec1-abd15520d19d · outbound
This paper cites Focal loss for dense ob- ject detection.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Focal loss for dense ob- ject detection
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:38.960009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ba862dd1-5cb9-434f-9bd3-5c39935e7f5e · outbound
This paper cites Curriculum graph co-teaching for multi- target domain adaptation.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Curriculum graph co-teaching for multi- target domain adaptation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:38.815562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8298791c-b9bb-4e45-a65a-265753889cc3 · outbound
This paper cites Adversarial diffusion distillation.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adversarial diffusion distillation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:38.657563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b4680da1-dbce-4482-aca1-23a574687a66 · outbound
This paper cites Explicit visual prompts for visual object tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Explicit visual prompts for visual object tracking
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:38.491850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3818e6f7-304b-4a22-a911-5fe955b73a75 · outbound
This paper cites Cross-modal pattern- propagation for RGB-T tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Cross-modal pattern- propagation for RGB-T tracking
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:38.363030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d3c68c48-62e7-4586-9f4e-8f8f7ccdaba5 · outbound
This paper cites Bovik, Hamid R.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Bovik, Hamid R
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:38.205659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a825b701-71a3-4c90-b752-973cfa346667 · outbound
This paper cites Lvptrack: High per- formance domain adaptive UA V tracking with label aligned visual prompt tuning.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Lvptrack: High per- formance domain adaptive UA V tracking with label aligned visual prompt tuning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:38.034747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7b597faf-8d04-45e1-9c83-3118bccee74f · outbound
This paper cites an unresolved cited work.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:18:37.869158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 600b6f8c-1621-43ef-a2b8-47d48e6c77bb · outbound
This paper cites Autore- gressive queries for adaptive tracking with spatio-temporal transformers.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Autore- gressive queries for adaptive tracking with spatio-temporal transformers
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:37.701251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 61775eb0-1719-4e19-a3bf-098a67e848a2 · outbound
This paper cites Depthtrack: Un- veiling the power of RGBD tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Depthtrack: Un- veiling the power of RGBD tracking
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:37.566486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 91cf556a-5034-4c3a-b25e-ed183300a370 · outbound
This paper cites Unctrack: Reliable visual object tracking with uncertainty-aware prototype memory network.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unctrack: Reliable visual object tracking with uncertainty-aware prototype memory network
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:37.412798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 53bcb3e0-9a24-458a-81ec-91ed2b90e924 · outbound
This paper cites Learning deep lucas-kanade siamese network for visual tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning deep lucas-kanade siamese network for visual tracking
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:37.259200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c484a9ed-38d9-4b1b-a1da-d9ccb551b26f · outbound
This paper cites Robust online tracking via con- trastive spatio-temporal aware network.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Robust online tracking via con- trastive spatio-temporal aware network
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:37.132969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f8e21fb7-b624-412a-9cd2-d638d49a6146 · outbound
This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Joint feature learning and relation modeling for tracking: A one-stream framework
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:36.986796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cf175a08-120e-4b1a-bb61-e0ab2af32283 · outbound
This paper cites Darklighter: Light up the darkness for UA V track- ing.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Darklighter: Light up the darkness for UA V track- ing
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:36.885876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 16ecfd38-a849-4918-810e-db98dde67519 · outbound
This paper cites Unsupervised domain adaptation for nighttime aerial tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unsupervised domain adaptation for nighttime aerial tracking
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:36.730293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2e92f1f9-bf7f-4d1b-809f-842ada5eb197 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adding conditional control to text-to-image diffusion models
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:36.566726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation eb8bdc73-71d7-4a6b-9b93-859b4bc8c9a0 · outbound
This paper cites Efros, Eli Shechtman, and Oliver Wang.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Efros, Eli Shechtman, and Oliver Wang
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:36.446348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a2340b03-7a35-4a85-a71b-0f8ce5460e97 · outbound
This paper cites Domain Adaptive SiamRPN++ for Object Tracking in the Wild.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Domain Adaptive SiamRPN++ for Object Tracking in the Wild
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:18:35.548926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79e9ea22-94d5-42c6-a05f-5bf317b0a01e · outbound
This paper cites Odtrack: Online dense temporal token learning for visual tracking.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Odtrack: Online dense temporal token learning for visual tracking
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:36.292083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3f6d04ef-9ac6-4b35-9f3b-c8408ff19a04 · outbound
This paper cites an unresolved cited work.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:18:36.128302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a254e0d0-7055-4644-b90f-3d137d02c982 · outbound
This paper cites DCPT: darkness clue-prompted tracking in nighttime uavs.
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions DCPT: darkness clue-prompted tracking in nighttime uavs
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:18:35.960280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.