Towards Universal Modal Tracking with Online Dense Temporal Token Learning | Paper Citation Record

Observation be93c374-6062-41b2-8fc3-2251dff6ea35 · outbound

This paper cites Fully-convolutional siamese networks for object tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Fully-convolutional siamese networks for object tracking,

Reference 1

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Observation 96367ad2-66da-41de-bb00-61c8578db0b3 · outbound

This paper cites High performance visual tracking with siamese region proposal network,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning High performance visual tracking with siamese region proposal network,

Reference 2

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Observation 8ae32f4c-e556-4fbe-855e-9552bec4252a · outbound

This paper cites Distractor-aware siamese networks for visual object tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Distractor-aware siamese networks for visual object tracking,

Reference 3

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Observation f06bb1b7-46ac-46a4-b54f-46510e981654 · outbound

This paper cites SiamRPN++: Evolution of siamese visual tracking with very deep networks,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning SiamRPN++: Evolution of siamese visual tracking with very deep networks,

Reference 4

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Observation e47b0c32-71c7-4ce5-bff6-f49ba8255f81 · outbound

This paper cites Fast online object tracking and segmentation: A unifying approach,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Fast online object tracking and segmentation: A unifying approach,

Reference 5

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Observation 99bc8ca4-fe9f-4740-b207-3bd36d3c386f · outbound

This paper cites Deeper and wider siamese networks for real- time visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Deeper and wider siamese networks for real- time visual tracking,

Reference 6

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Observation a7eb5785-268d-479d-ba9b-bb8adb440442 · outbound

This paper cites Faster r-cnn: towards real-time object detection with region proposal networks,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Faster r-cnn: towards real-time object detection with region proposal networks,

Reference 7

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Observation de46da54-cafb-42ed-90b3-6288195c86d3 · outbound

This paper cites Object tracking benchmark,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Object tracking benchmark,

Reference 8

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Observation b5c1ef90-b7cc-4bc8-bfe4-062be3ed6ddd · outbound

This paper cites TrackingNet: A large-scale dataset and benchmark for object tracking in the wild,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning TrackingNet: A large-scale dataset and benchmark for object tracking in the wild,

Reference 9

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Observation c20968d1-5f7b-4d19-a3c8-1c7c75f38ddb · outbound

This paper cites LaSOT: A high-quality benchmark for large-scale single object tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning LaSOT: A high-quality benchmark for large-scale single object tracking,

Reference 10

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Observation 8f4524ba-04a1-4280-a5a5-28331abd1624 · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Got-10k: A large high-diversity benchmark for generic object tracking in the wild,

Reference 11

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Observation 6a079d8e-0ced-44df-85a0-f2c64a635343 · outbound

This paper cites Microsoft COCO: Common objects in context,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Microsoft COCO: Common objects in context,

Reference 12

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Observation 950aa2c0-7595-400e-baf4-2f7cd23885d6 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 13

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Observation 8c0330db-277e-46fc-94fb-b223b851637c · outbound

This paper cites Learning discrimi- native model prediction for tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning discrimi- native model prediction for tracking,

Reference 14

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Observation 5b2ff443-976b-43dd-962c-97e8bbe7217b · outbound

This paper cites ATOM: Accurate tracking by overlap maximization,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning ATOM: Accurate tracking by overlap maximization,

Reference 15

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Observation f4d5e58a-9160-4ac5-bb58-7da8a1ab3289 · outbound

This paper cites ECO: Efficient convolution operators for tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning ECO: Efficient convolution operators for tracking,

Reference 16

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Observation 8b2e9c06-9baf-473a-a923-3f776eaed7e9 · outbound

This paper cites Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines,

Reference 17

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Observation 5941de13-4088-4e0f-95c9-2a70b05db128 · outbound

This paper cites Ocean: Object-aware anchor-free tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Ocean: Object-aware anchor-free tracking,

Reference 18

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Observation ba91ed5b-db35-4095-87e0-6cada755024b · outbound

This paper cites an unresolved cited work.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Unresolved cited work

Reference 19

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Observation d1010fd1-5b67-4381-8ae2-1a28fb475720 · outbound

This paper cites Toward accurate pixelwise object tracking via attention retrieval,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Toward accurate pixelwise object tracking via attention retrieval,

Reference 20

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Observation b76586a5-6a56-4db6-a024-9e4fd810f8a5 · outbound

This paper cites Video object segmentation using space-time memory networks,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Video object segmentation using space-time memory networks,

Reference 21

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Observation b62c12fe-74be-49d6-a1e2-828043b44080 · outbound

This paper cites D3s-a discriminative single shot segmentation tracker,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning D3s-a discriminative single shot segmentation tracker,

Reference 22

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Observation a8318263-c4e5-477a-8461-2649086e762b · outbound

This paper cites Siamban: Target-aware tracking with siamese box adaptive network,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Siamban: Target-aware tracking with siamese box adaptive network,

Reference 23

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Observation fbab66eb-8422-4aa8-8ce8-d7c395baf728 · outbound

This paper cites Siamcar: Siamese fully convolutional classification and regression for visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Siamcar: Siamese fully convolutional classification and regression for visual tracking,

Reference 24

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Observation a8fdef00-91d2-46d8-9053-35f3f9e6af52 · outbound

This paper cites Learning the model update for siamese trackers,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning the model update for siamese trackers,

Reference 25

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Observation f6e545dd-79d6-4f42-98d9-9d060b1c6f33 · outbound

This paper cites Learning to filter: Siamese relation network for robust tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning to filter: Siamese relation network for robust tracking,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.625537Z

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Observation 38e31f67-ec67-4759-bc95-2c07023cb7a8 · outbound

This paper cites Learning to fuse asymmetric feature maps in siamese trackers,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning to fuse asymmetric feature maps in siamese trackers,

Reference 27

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Observation e6b42ca0-3710-4541-a02a-443353608ad9 · outbound

This paper cites Pg-net: Pixel to global matching network for visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Pg-net: Pixel to global matching network for visual tracking,

Reference 28

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Observation 4d5a9254-5118-4b71-a734-541925541bf3 · outbound

This paper cites Stmtrack: Template-free visual tracking with space-time memory networks,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Stmtrack: Template-free visual tracking with space-time memory networks,

Reference 29

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Observation 6ecc779a-a454-4d4e-a770-9fcbb54dac1f · outbound

This paper cites Graph attention tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Graph attention tracking,

Reference 30

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Observation b6723bc4-1533-4181-bdf3-db34683ee417 · outbound

This paper cites High- performance transformer tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning High- performance transformer tracking,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.648494Z

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Observation 27461da7-50c2-43a0-a7ee-ee11f052383b · outbound

This paper cites Learning spatio-temporal transformer for visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning spatio-temporal transformer for visual tracking,

Reference 32

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Observation 13e2ae34-0770-425a-9fd7-eb4e7a11a9e2 · outbound

This paper cites Transformer meets tracker: Exploiting temporal context for robust visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Transformer meets tracker: Exploiting temporal context for robust visual tracking,

Reference 33

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Observation e171a303-3584-44b1-9cbb-8f8eb0aee801 · outbound

This paper cites Probabilistic regression for visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Probabilistic regression for visual tracking,

Reference 34

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Observation 94223593-b04f-488b-8c4e-9a89c9e1b97a · outbound

This paper cites Decoupled weight decay regularization,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Decoupled weight decay regularization,

Reference 35

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Observation 2d73b067-5b2c-41ca-adf5-9a011ac10d9c · outbound

This paper cites Attention is all you need,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Attention is all you need,

Reference 36

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Observation 0d8aa7d3-3104-41b6-8bfc-a7118b483979 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.323558Z

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Observation 17acecc9-e9cd-49d5-8216-accfd828563d · outbound

This paper cites Cvt: Introducing convolutions to vision transformers,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Cvt: Introducing convolutions to vision transformers,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.305780Z

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Observation 62e00927-5db6-4c43-978d-dacb7feccab1 · outbound

This paper cites End-to-end object detection with transformers,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning End-to-end object detection with transformers,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.289565Z

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Observation 4648caa1-69c9-4332-9277-ba35ba3586ca · outbound

This paper cites Siam r-cnn: Visual tracking by re-detection,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Siam r-cnn: Visual tracking by re-detection,

Reference 40

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Observation fa05a3c8-61f3-480f-b38e-e306a2809c70 · outbound

This paper cites Deformable siamese attention networks for visual object tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Deformable siamese attention networks for visual object tracking,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.261387Z

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Observation 659643ab-9e79-43cb-983b-057d4ec20265 · outbound

This paper cites Learning target candidate association to keep track of what not to track,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning target candidate association to keep track of what not to track,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.241583Z

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Observation 3eb4ea7d-c363-4739-be69-ed5eabdd083f · outbound

This paper cites Mixformer: End-to-end track- ing with iterative mixed attention,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Mixformer: End-to-end track- ing with iterative mixed attention,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.226014Z

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Observation 77807240-48f7-4bb3-ba36-84441814d1c6 · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Joint feature learning and relation modeling for tracking: A one-stream framework,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.210243Z

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Observation 7fec31e2-b7ac-4faf-b54e-fe8703d3b69b · outbound

This paper cites Towards more flexible and accurate object tracking with natural lan- guage: Algorithms and benchmark,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Towards more flexible and accurate object tracking with natural lan- guage: Algorithms and benchmark,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.711270Z

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Observation cee36789-ba28-4ddd-81e3-e9784426cfa5 · outbound

This paper cites Focal loss for dense object detection,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Focal loss for dense object detection,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.715926Z

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Observation 0e8745b4-2dc9-4726-bf9f-5d2be9bcd7c8 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Masked autoencoders are scalable vision learners,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.720530Z

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Observation ee88c63a-e4a3-4a7f-9eb2-e8a74b81b40b · outbound

This paper cites Lasot: A high-quality large-scale single object tracking benchmark,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Lasot: A high-quality large-scale single object tracking benchmark,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.158499Z

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Observation d76bde2b-c8e5-4edf-8393-a0752fac3b55 · outbound

This paper cites Learning target-aware representation for visual tracking via informative interac- tions,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning target-aware representation for visual tracking via informative interac- tions,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.139216Z

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Observation e0ef0b76-8b4c-4955-8e3d-3de1173288f0 · outbound

This paper cites Correlation-aware deep tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Correlation-aware deep tracking,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.123784Z

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Observation 2855c361-5b58-4b28-9c40-73800e25a123 · outbound

This paper cites Backbone is all your need: A simplified architecture for visual object tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Backbone is all your need: A simplified architecture for visual object tracking,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.108713Z

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Observation e6933106-4ef4-4d36-9158-c4190d9aa7de · outbound

This paper cites Aiatrack: Attention in attention for transformer visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Aiatrack: Attention in attention for transformer visual tracking,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.092952Z

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Observation ff577d27-d782-4a31-8992-49f61ec5ca69 · outbound

This paper cites Seqtrack: Sequence to sequence learning for visual object tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Seqtrack: Sequence to sequence learning for visual object tracking,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.076365Z

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Observation 45c0c750-4852-4922-a969-33711c56f58c · outbound

This paper cites Autore- gressive visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Autore- gressive visual tracking,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.059738Z

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Observation 53b742aa-cd81-4380-a51a-9cdf7216f7c6 · outbound

This paper cites Videotrack: Learning to track objects via video transformer,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Videotrack: Learning to track objects via video transformer,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.043958Z

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Observation c4df4e17-ee5d-42dd-888e-63deb590d2df · outbound

This paper cites Tctrack: Temporal contexts for aerial tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Tctrack: Temporal contexts for aerial tracking,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.026531Z

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Observation fb2ce780-672d-4d94-a01f-06a13790095a · outbound

This paper cites The eighth visual object tracking vot2020 challenge results,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning The eighth visual object tracking vot2020 challenge results,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:17.009194Z

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Observation fa4d8d69-771b-4a91-b192-e827b82d6e77 · outbound

This paper cites Alpha-refine: Boosting tracking performance by precise bounding box estimation,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Alpha-refine: Boosting tracking performance by precise bounding box estimation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.993318Z

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 5a932296-8fdd-4c2d-b961-945448464233 · outbound

This paper cites Generalized relation modeling for transformer tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Generalized relation modeling for transformer tracking,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.978036Z

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 b2427539-761c-4da3-8eb9-2c2f10e81841 · outbound

This paper cites Instance-level segmentation for autonomous driving with deep densely connected mrfs,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Instance-level segmentation for autonomous driving with deep densely connected mrfs,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.962521Z

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 d37bfc42-b256-4b47-bea1-2dd746e836be · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning VideoChat: Chat-Centric Video Understanding

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.784030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ad3ba4-a664-44e2-b86b-84c73e0d7054 · outbound

This paper cites Hand posture recognition using finger geometric feature,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Hand posture recognition using finger geometric feature,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.946270Z

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 f4d98f0f-480f-4bb1-aba4-a78855cc915b · outbound

This paper cites Visual prompt multi- modal tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Visual prompt multi- modal tracking,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.931688Z

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 cb8bdc93-d25a-42b6-8f04-2ea71b66da54 · outbound

This paper cites Multi-modal fusion for end-to-end rgb-t tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Multi-modal fusion for end-to-end rgb-t tracking,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.916485Z

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 b3e12001-5b0f-44ae-8508-c7bbc47a3a89 · outbound

This paper cites Bridging search region interaction with template for rgb-t tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Bridging search region interaction with template for rgb-t tracking,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.900847Z

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 a903b2d3-cbcb-4d29-9766-6aafab6e6912 · outbound

This paper cites Resource-efficient rgbd aerial tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Resource-efficient rgbd aerial tracking,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.885625Z

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 19a3e957-e583-465e-96b4-d243b6481274 · outbound

This paper cites Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.814344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd337aa6-fc14-4320-a762-5ee4f0c23405 · outbound

This paper cites RGB-T Tracking via Multi-Modal Mutual Prompt Learning.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning RGB-T Tracking via Multi-Modal Mutual Prompt Learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.819756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd48326-59fe-4b81-9448-b63b861727b9 · outbound

This paper cites RGBD1K: A large-scale dataset and benchmark for RGB-D object tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning RGBD1K: A large-scale dataset and benchmark for RGB-D object tracking,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.825156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa150ea0-bba1-4fef-bd32-029915d308af · outbound

This paper cites Learning dual-fused modality-aware representations for RGBD tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Learning dual-fused modality-aware representations for RGBD tracking,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.857414Z

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 8b656d98-1398-455b-bba8-84eb896f13ea · outbound

This paper cites Object tracking by jointly exploiting frame and event domain,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Object tracking by jointly exploiting frame and event domain,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.840820Z

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 b05b50ec-c5a6-4e59-8ff2-57e431265c07 · outbound

This paper cites Lasher: A large-scale high-diversity benchmark for rgbt tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Lasher: A large-scale high-diversity benchmark for rgbt tracking,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.824505Z

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 0e6c6eaf-9abb-4b04-b653-a7286f6d30de · outbound

This paper cites Rgb-t object tracking: Benchmark and baseline,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Rgb-t object tracking: Benchmark and baseline,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.809095Z

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 9d1ee074-912d-43b2-b008-8e017553ce1f · outbound

This paper cites Visevent: Reliable object tracking via collaboration of frame and event flows,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Visevent: Reliable object tracking via collaboration of frame and event flows,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.850292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4bfbb9-2d3a-4622-a230-e0b0faf37047 · outbound

This paper cites Depthtrack: Unveiling the power of rgbd tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Depthtrack: Unveiling the power of rgbd tracking,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.855085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3ed2b23-dd4a-4411-a5c1-098d2542f565 · outbound

This paper cites Prompting for multi-modal tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Prompting for multi-modal tracking,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.772673Z

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 c21d3705-da08-4dd2-8667-3e6afded20da · outbound

This paper cites Attribute-based progressive fusion network for rgbt tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Attribute-based progressive fusion network for rgbt tracking,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.757000Z

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 3fc23463-053a-4676-a860-89be150cd168 · outbound

This paper cites Duality-gated mutual condition network for rgbt tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Duality-gated mutual condition network for rgbt tracking,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.741578Z

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 b63ec5f3-98e1-4fcc-ac93-428c27325ca2 · outbound

This paper cites Single-Model and Any-Modality for Video Object Tracking.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Single-Model and Any-Modality for Video Object Tracking

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.875061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473d07bc-527a-4781-8a03-4efd71c23012 · outbound

This paper cites Context- aware three-dimensional mean-shift with occlusion handling for robust object tracking in rgb-d videos,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Context- aware three-dimensional mean-shift with occlusion handling for robust object tracking in rgb-d videos,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.726636Z

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 64cbe906-eb02-4b5c-b729-8249a441e9b9 · outbound

This paper cites The seventh visual object tracking vot2019 challenge results,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning The seventh visual object tracking vot2019 challenge results,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.711422Z

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 999eb2a6-fa50-4818-99d7-82ef4c430be7 · outbound

This paper cites The ninth visual object tracking vot2021 challenge results,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning The ninth visual object tracking vot2021 challenge results,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.696973Z

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 a00296b0-d319-4784-b9f2-d4bee38211f8 · outbound

This paper cites The tenth visual object tracking vot2022 challenge results,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning The tenth visual object tracking vot2022 challenge results,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.682176Z

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 52cc4e9c-25a8-45d2-bdb5-3ce613c3c2a8 · outbound

This paper cites Visible-thermal uav tracking: A large-scale benchmark and new baseline,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Visible-thermal uav tracking: A large-scale benchmark and new baseline,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.667696Z

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 381da7d8-d16f-4dd5-80b2-c78ce0088c1d · outbound

This paper cites Bi-directional Adapter for Multi-modal Tracking.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Bi-directional Adapter for Multi-modal Tracking

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:53:16.225804Z

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 7ad73c26-3a66-4023-907f-d552d1ee6bf8 · outbound

This paper cites Challenge-aware rgbt tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Challenge-aware rgbt tracking,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.653030Z

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 55e34bfa-b45b-490e-909d-20de2b3d5b4b · outbound

This paper cites Multi- adapter rgbt tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Multi- adapter rgbt tracking,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.638233Z

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 590a0705-34a6-427a-bc2d-c76cd1a03df9 · outbound

This paper cites Odtrack: Online dense temporal token learning for visual tracking,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Odtrack: Online dense temporal token learning for visual tracking,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.624349Z

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 6d78d592-71fd-4d5d-9a2d-3f66046f093a · outbound

This paper cites OneLLM: One Framework to Align All Modalities with Language.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning OneLLM: One Framework to Align All Modalities with Language

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.924583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e29d7c8-6d3c-4d10-a013-551c0e47e808 · outbound

This paper cites Tf-icon: Diffusion-based training-free cross-domain image composition,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Tf-icon: Diffusion-based training-free cross-domain image composition,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.609953Z

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 6a1f644f-89f1-4958-9fd0-6c1a1ae3ed31 · outbound

This paper cites Mace: Mass concept erasure in diffusion models,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Mace: Mass concept erasure in diffusion models,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.594647Z

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 2803ed88-9d76-4eb0-b7be-98be9665acd6 · outbound

This paper cites Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.939124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60cd0ac0-62d2-426b-837e-f4882594d9e1 · outbound

This paper cites EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.943930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e876de26-4698-4ff9-bf03-ea06e71798f4 · outbound

This paper cites Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.949005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 868e386f-eb58-4394-b6d6-2037f27644bd · outbound

This paper cites Diffusion models in low-level vision: A survey,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Diffusion models in low-level vision: A survey,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.580191Z

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 343de5ff-327b-4c09-a4cc-00d0961a6871 · outbound

This paper cites Segment concealed object with incomplete supervision,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Segment concealed object with incomplete supervision,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.564354Z

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 026071c7-33bf-455a-bb8a-6f1238c7648a · outbound

This paper cites Hqg-net: Unpaired medical image enhancement with high- quality guidance,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Hqg-net: Unpaired medical image enhancement with high- quality guidance,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.548052Z

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 6157d0f3-eaca-4573-8466-9bf2ad57c516 · outbound

This paper cites UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.969612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c512c8-e9f9-4510-902c-8d92b55f32fd · outbound

This paper cites Run: Reversible unfolding network for concealed object segmentation,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Run: Reversible unfolding network for concealed object segmentation,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.532014Z

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 79520104-5643-49b1-9e5b-c08d1cdbaa82 · outbound

This paper cites Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model,.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:53:16.516649Z

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.

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