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Paper Citation Record · LEDGER

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues

As of 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2501.11288.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.11288 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:32:49.477438Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f4bc0ac-d69f-4452-a081-3a320c82cd3c · outbound

This paper cites Exploring simple 3d multi-object tracking for autonomous driving,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Exploring simple 3d multi-object tracking for autonomous driving,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cb074ba8-9d32-47f0-896d-8675ca7a9a2b · outbound

This paper cites Multi-object tracking co- processor for multi-channel embedded dvr systems,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Multi-object tracking co- processor for multi-channel embedded dvr systems,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 986ac092-beb9-4f25-9efe-4205995ade7b · outbound

This paper cites A novel tracking algorithm using thermal and optical cameras fused with mmwave radar sensor data,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues A novel tracking algorithm using thermal and optical cameras fused with mmwave radar sensor data,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4727f3ea-e14c-48c3-9473-b83eec3fbf2c · outbound

This paper cites Bandt: A border-aware network with deformable transformers for visual tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Bandt: A border-aware network with deformable transformers for visual tracking,

Reference 4

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raw_fallback, observed 2026-08-10T18:32:50.157553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5042e99c-057f-4ef0-a575-5244d2bc687f · outbound

This paper cites Human video instance segmen- tation and tracking via data association and single-stage detector,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Human video instance segmen- tation and tracking via data association and single-stage detector,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.269109Z digest=sha256:2c3fed1fd882a1d0fb8d403816bd451984fda94e1a970595ef2f4550e81833c6

Observation 2152162e-76b4-4900-afa9-d6716076ba85 · outbound

This paper cites Simple online and realtime tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Simple online and realtime tracking,

Reference 6

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raw_fallback, observed 2026-08-10T18:32:50.137481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.273072Z digest=sha256:cb3cba990ccd9b37b7e1f032235eba5311d2195cdbdf02a0be22c0bb61c72636

Observation 963c6537-5f1a-4ec4-ac06-c269e5caa36f · outbound

This paper cites High-speed tracking-by- detection without using image information,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues High-speed tracking-by- detection without using image information,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.277111Z digest=sha256:e4d47c7058a04ded2420bd70862304e4ea3d59dc200ddd0f46e2c45bb23e81ee

Observation 5ef82084-1c7b-4921-8f81-d7c58832cd86 · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Simple online and realtime tracking with a deep association metric,

Reference 8

Resolution
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raw_fallback, observed 2026-08-10T18:32:50.115542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.280803Z digest=sha256:a00a77dbe532d6e6aa8c2270af8a1d36424abae829a0c964676b795710e2565e

Observation 9d129605-b524-43eb-a54d-0462c18ada72 · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Bytetrack: Multi-object tracking by associating every detection box,

Reference 9

Resolution
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raw_fallback, observed 2026-08-10T18:32:50.103151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.284338Z digest=sha256:20952c44232f3449d77e2beb459eaf5c23e94df924c12b1eb465352eb55dbb29

Observation 56531aae-b233-4d4d-9f86-5f07d5745c98 · outbound

This paper cites Observation- centric sort: Rethinking sort for robust multi-object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Observation- centric sort: Rethinking sort for robust multi-object tracking,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.288040Z digest=sha256:24087f2b4144e249d60b1430ea41330f32c9ef10b6b6f55718a39c64efc6fba1

Observation 9e31e5b7-f08f-436e-b8fd-002a81b3d454 · outbound

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

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.291729Z digest=sha256:4d14b013d4d8504369a6f752513dfa00051d2118b20524b0a6bd2e8449016a2e

Observation 5ac841b8-13d2-4005-a172-4f429bf5cea9 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues YOLOX: Exceeding YOLO Series in 2021

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.295283Z digest=sha256:baaa4a86be3f3665108ffeb560f03badcabc3cfbe08b1f45ce4e5a658fe2b037

Observation 92b2b437-c845-429a-ae67-aa615ba8cd2d · outbound

This paper cites On implementing 2d rectangular assignment algorithms,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues On implementing 2d rectangular assignment algorithms,

Reference 13

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raw_fallback, observed 2026-08-10T18:32:50.068914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.299416Z digest=sha256:60181dd38ae067acca5ec4bea86c65993c9cef64a47981b742884792be8218e3

Observation 53a4f87a-fd54-498c-a9f2-2233e4d23610 · outbound

This paper cites Dancetrack: Multi-object tracking in uniform appearance and diverse motion,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Dancetrack: Multi-object tracking in uniform appearance and diverse motion,

Reference 14

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raw_fallback, observed 2026-08-10T18:32:50.057544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.303086Z digest=sha256:50c7e25a35883a2ea0c89ce83d89bc4dc2483425673647cb4dbf000afe2e7d9d

Observation bc1d58a4-619e-4a46-9583-a7fb9502a81c · outbound

This paper cites SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth

Reference 15

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no resolver link, observed 2026-08-10T18:32:49.306619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.306619Z digest=sha256:e5d3fddc2fe75969f4d3648717196b2e6fa5a7325e80029519ce91e51ed72e92

Observation 12517307-0a55-44b4-a08b-c32bdc76495e · outbound

This paper cites Contributions to the theory of optimal control,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Contributions to the theory of optimal control,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.310590Z digest=sha256:e8a3adf80240521fd946a585ee7c00b4bc30d9a01021b6887d48696637997a44

Observation b56833b0-58ff-4af6-bf83-cecb21397c52 · outbound

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

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Generalized intersection over union: A metric and a loss for bound- ing box regression,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.313811Z digest=sha256:e6562fc7d6ccff6b036eeda2b7e9d59c51448a412d37e258075ae5f144202127

Observation 68dd3b1c-7c6c-4bd0-a3f6-49981f657a01 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 18

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no resolver link, observed 2026-08-10T18:32:49.316820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.316820Z digest=sha256:79fde7af3137e2db33c064a296b5076765b74457f7eaea739f2d7d891b244eeb

Observation c8a7bca3-122e-41f1-a467-ced17da35483 · outbound

This paper cites TransTrack: Multiple Object Tracking with Transformer.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues TransTrack: Multiple Object Tracking with Transformer

Reference 19

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no resolver link, observed 2026-08-10T18:32:49.320273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.320273Z digest=sha256:0d711e347ea8552aafa89065c6b2c1a1738cf643192f1dd1e36a402e3eaf17a7

Observation 1636d5db-7d2b-4382-8f87-bdf889df6621 · outbound

This paper cites Track- former: Multi-object tracking with transformers,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Track- former: Multi-object tracking with transformers,

Reference 20

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raw_fallback, observed 2026-08-10T18:32:50.032219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.324032Z digest=sha256:a5a7993620cd551dc3442faf53373deda1876c10607b300e60aea21d91a57491

Observation 599362e5-d332-4bdd-bb94-db7dc069a251 · outbound

This paper cites Motr: End-to-end multiple-object tracking with transformer,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Motr: End-to-end multiple-object tracking with transformer,

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.327753Z digest=sha256:9151e052773ea2b0013daf097c8cb0fc5ebd8d3507da2011059a14ec19b0e43b

Observation 38ef0d4b-536a-4e4a-8aa0-65ed0d7b1ea9 · outbound

This paper cites YOLOv3: An Incremental Improvement.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues YOLOv3: An Incremental Improvement

Reference 22

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no resolver link, observed 2026-08-10T18:32:49.331294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.331294Z digest=sha256:3b975df00e21bdafaf451a57f2c7bde4ce850fd837ecd8c0825cac49560f73dc

Observation b5b68080-df31-45c2-8ce2-ebbed3e81dc6 · outbound

This paper cites Learnable graph matching: Incorporating graph partitioning with deep feature learning for multi- ple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Learnable graph matching: Incorporating graph partitioning with deep feature learning for multi- ple object tracking,

Reference 23

Resolution
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raw_fallback, observed 2026-08-10T18:32:50.014037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.335516Z digest=sha256:aeb21bab63d82fca73391cd49640ed3d13f2746e51c610b3911fa9000309f4a1

Observation 525a62e4-2ee5-4fce-9d00-6094557b90bd · outbound

This paper cites The hungarian method for the assignment problem,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues The hungarian method for the assignment problem,

Reference 24

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no resolver link, observed 2026-08-10T18:32:49.339512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.339512Z digest=sha256:1e6759bc9cac320097e29c2ed4271ea4279dfefcdb2323faafb16f565a9fb36d

Observation 7d5cd847-b3d9-46bd-981d-c04ca0ad9396 · outbound

This paper cites Similarity based person re- identification for multi-object tracking using deep siamese network,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Similarity based person re- identification for multi-object tracking using deep siamese network,

Reference 25

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raw_fallback, observed 2026-08-10T18:32:49.996127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.343495Z digest=sha256:4801dd780af4be84618fdd4590e9ad8796b374249d4412a2ca72f60c9031d79a

Observation 38bec119-c525-4853-8ac1-65db1f79ceed · outbound

This paper cites A strong baseline and batch normalization neck for deep person re-identification,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues A strong baseline and batch normalization neck for deep person re-identification,

Reference 26

Resolution
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raw_fallback, observed 2026-08-10T18:32:49.985669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.347169Z digest=sha256:2d67670785b3e77311547d02c663e0275580c77d065ff2cc048c136121f84e40

Observation ad90b6c1-affa-49e3-9a05-82579ac41eb4 · outbound

This paper cites Fastreid: A pytorch toolbox for general instance re-identification,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Fastreid: A pytorch toolbox for general instance re-identification,

Reference 27

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raw_fallback, observed 2026-08-10T18:32:49.974650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.351047Z digest=sha256:18183ddb1aaf52383556a25018bdf131c2cf5a51abd0e0ab4042d7a1b4a198d1

Observation 504ec9ba-3c04-4a22-aa79-23ce7b1e8796 · outbound

This paper cites Towards real-time multi-object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Towards real-time multi-object tracking,

Reference 28

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raw_fallback, observed 2026-08-10T18:32:49.965022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.354828Z digest=sha256:58893f19e8c622387c7d5f39f2b4df3f29b0525dd32c8c975e6e4a93b4a22fe0

Observation 798c1b87-d771-4805-9394-77affea790f7 · outbound

This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Fairmot: On the fairness of detection and re-identification in multiple object tracking,

Reference 29

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raw_fallback, observed 2026-08-10T18:32:49.955173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.358891Z digest=sha256:7619c950f79ed2e01df9edb4637778293cc65b9bca93fb3da173eb4870de0840

Observation 946b1d5d-c5e1-4688-83e3-7b6768294acb · outbound

This paper cites Strong- sort: Make deepsort great again,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Strong- sort: Make deepsort great again,

Reference 30

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raw_fallback, observed 2026-08-10T18:32:49.945199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.362729Z digest=sha256:75946de30abd9b95823be3c8ab6ed736a6607fa5c569b3b1d182ae8d0f2abb92

Observation c7861be9-2375-4e26-8a6a-379acc3b9f07 · outbound

This paper cites Stat: Multi-object tracking based on spatio-temporal topological constraints,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Stat: Multi-object tracking based on spatio-temporal topological constraints,

Reference 31

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raw_fallback, observed 2026-08-10T18:32:49.934745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.366537Z digest=sha256:6c5c4e9ca8e61add966c93ca59059ed9624c52df25530aeedcc394bc3fdfef34

Observation 5a0940e4-07bf-486f-a390-a910f2ec65f2 · outbound

This paper cites Fast re-obj: Real-time object re- identification in rigid scenes,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Fast re-obj: Real-time object re- identification in rigid scenes,

Reference 32

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raw_fallback, observed 2026-08-10T18:32:49.922785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.370454Z digest=sha256:1267eaf54f8e39cd5330e5180ee92dfae458664086a019d830550509620e0d3c

Observation 71b157a2-f310-4491-9e79-54d7e9b73e53 · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Reference 33

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no resolver link, observed 2026-08-10T18:32:49.374389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.374389Z digest=sha256:840444c12dc8da42348542d13a588d95ed0ab1fc2485abbe36da637c77671a45

Observation 1f6f4fe9-69d7-4e0a-833e-5692ccb818dc · outbound

This paper cites Center-based 3d object detection and tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Center-based 3d object detection and tracking,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.910559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.378591Z digest=sha256:5f36d7ed24f95cb4d6576ffc70edd777cfd4fd1b61bfbdc54f195f3d41402238

Observation 0a2a95a7-4f6d-4dbc-8a21-74668affc6f3 · outbound

This paper cites Eagermot: 3d multi-object tracking via sensor fusion,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Eagermot: 3d multi-object tracking via sensor fusion,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.898674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.382507Z digest=sha256:75a73d907f79f35d0eedea1bd3f838cdd0f8797d295591b1e78fbc0bf04b691c

Observation c10cc2d1-2f6a-41a7-845d-e6eb3123d064 · outbound

This paper cites Quo vadis: Is trajectory forecasting the key towards long-term multi-object track- ing?.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Quo vadis: Is trajectory forecasting the key towards long-term multi-object track- ing?

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.886529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.386324Z digest=sha256:0a5d84edf8293ffd83315f320afbeb30cc189d64a5ee328a8023249bda2b5dcb

Observation 9d1545b0-cc97-4e8b-937f-3a9db5b544a5 · outbound

This paper cites Depth perspective-aware multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Depth perspective-aware multiple object tracking,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.874671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.390403Z digest=sha256:928991866f5ca47c3e3ae6b31a0c4dcadd277dac527cc9e909af96a0ad21feee

Observation f5e4b6a7-16a0-4b97-9879-927ef10ea522 · outbound

This paper cites The opencv library.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues The opencv library

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.862094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.394343Z digest=sha256:d9f92972c6504162b7810dbb74b6f5a062964f4886ac44fcebdd522648fb69e3

Observation a41025ef-5eeb-4bb2-8e85-be56e773a565 · outbound

This paper cites Good features to track,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Good features to track,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.848887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.398366Z digest=sha256:2b85ca7731bc16e7bde2e4685411a3b04204e081645f5027d6dd13f227d72fcf

Observation 9cc9ebb0-9034-40c2-b00d-c0a18d553610 · outbound

This paper cites Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.835408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.402300Z digest=sha256:7d09fa49b8fca47979244c9efee258b44fbda7805ddca4b851b902cfd64c5117

Observation 53bbbba3-f4af-4f6b-863a-662107f90d28 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T18:32:49.406038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.406038Z digest=sha256:fa420c31777316042a1318d3300aaa8dcffad74aff3cb3d6eedd27b000921675

Observation 22d3ab99-6307-4d1e-a38c-18da21a90ab2 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues MOT16: A Benchmark for Multi-Object Tracking

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T18:32:49.409892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.409892Z digest=sha256:5929be8db0be37e14f04a287267ea246098fdb7678dfdd570bef8b3b48595f01

Observation fcef04ff-6299-4e55-8441-479a416bb16a · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues MOT20: A benchmark for multi object tracking in crowded scenes

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T18:32:49.413488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.413488Z digest=sha256:67cfd5364ba8fa3fb272158bb114d64f3ce3e6e5e31ca3f9ffb5dd01b2c1f72d

Observation 7743903b-3f68-4857-abc3-af4bf6d58ebb · outbound

This paper cites Hota: A higher order metric for evaluating multi-object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Hota: A higher order metric for evaluating multi-object tracking,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.813561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.417180Z digest=sha256:dc7d8c308bfabc6ddcfcddef49a0d2160e8fd35c3190540062dd15d0e316a640

Observation ae84758e-dec6-49af-8303-ee1d0806db01 · outbound

This paper cites Evaluating multiple object tracking performance: the clear mot metrics,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Evaluating multiple object tracking performance: the clear mot metrics,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.802404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.420732Z digest=sha256:f4c36f730fa528ef708181c0f829e9c8a63e7aeeffc61ac48feefbb0c0b4a648

Observation 1e53f403-2f79-4f05-bf72-c369b12eacaf · outbound

This paper cites Performance measures and a data set for multi-target, multi-camera tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Performance measures and a data set for multi-target, multi-camera tracking,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.791559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.424009Z digest=sha256:f5b05c4ce9bf41faf9568665c8f5d640e68dcb12586c2f183d8172af8e3fa7b2

Observation f62649a6-4a00-421c-a559-85278ba56983 · outbound

This paper cites Track to detect and segment: An online multi-object tracker,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Track to detect and segment: An online multi-object tracker,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.780405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.427324Z digest=sha256:a4b1ba5bd45cb21466041ede7371eb612a644e867197aef7c858c8d8975ba7a1

Observation 4ef2531e-80aa-42ec-a5b6-b4b930a51eeb · outbound

This paper cites Global tracking transformers,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Global tracking transformers,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.769035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.430696Z digest=sha256:a8337bcb82b2e2afe9b1f31d2a97868b1518aa4c60d9e503dce40ff34c49f98b

Observation 279402e4-5864-413e-b967-d84857743b19 · outbound

This paper cites Tracking objects as points,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Tracking objects as points,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.757226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.434592Z digest=sha256:3b9803354454be16509c4f55de5d796da0808fd238592a5968d583a3b85c268e

Observation afd77e0a-c0e6-45be-b737-98123e742d35 · outbound

This paper cites Quasi- dense similarity learning for multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Quasi- dense similarity learning for multiple object tracking,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.745324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.438682Z digest=sha256:4c2b463790f58c416917f27178f8859dbeac7baa092d119b69856db6391a1e16

Observation 72493d52-05f3-4c52-a248-9c415594535f · outbound

This paper cites Memot: Multi-object tracking with memory,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Memot: Multi-object tracking with memory,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.732880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.442356Z digest=sha256:3af63a1db41b20439d134f574ba0af199a1e9833a3d958e51b9bfc48593b7497

Observation 97116499-cfa8-4424-bf54-ebdc90bae7e7 · outbound

This paper cites Motfr: Multiple object tracking based on feature recoding,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Motfr: Multiple object tracking based on feature recoding,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.719577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.446180Z digest=sha256:b124de466325c65c1bf6bf2d37fb15cdbbaf25751a04aa5a623be7fbb2996348

Observation 351cbb3f-708a-4e47-9e7a-c59009964356 · outbound

This paper cites Modelling ambiguous assignments for multi- person tracking in crowds,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Modelling ambiguous assignments for multi- person tracking in crowds,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.706209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.450132Z digest=sha256:1662d76064f5c7c825591ec8f539c7885a1d949a6c02c0ff57a899be2e38a481

Observation 4d5bb78d-bf13-4fa1-a4e2-a3fffbcac1ad · outbound

This paper cites Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.692650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.454167Z digest=sha256:60ecbdb9ce3e2dea02045ab13c83a16850ada57dff6a44edb6cd18a33e599abf

Observation a45a9027-d001-4212-8566-773601103263 · outbound

This paper cites Looking beyond two frames: End-to-end multi-object tracking using spatial and temporal transformers,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Looking beyond two frames: End-to-end multi-object tracking using spatial and temporal transformers,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.678520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.458414Z digest=sha256:435525b72de3da1f149dec20b4cf61238b5d6a3958b9f9ae31aa8da8a7fb13ef

Observation 4c9b45ae-2fbb-4e7a-8600-667f03472bb1 · outbound

This paper cites Multiple object tracking with correlation learning,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Multiple object tracking with correlation learning,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.665097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.462355Z digest=sha256:7aa606633a9f15110a051f832993dbd5558b312c96800ef024a450394ecb7c82

Observation 78d8b582-f377-4432-b330-491d8ece47c3 · outbound

This paper cites Transmot: Spatial- temporal graph transformer for multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Transmot: Spatial- temporal graph transformer for multiple object tracking,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.652517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.466154Z digest=sha256:ed04f27f37e97c6011a88dafad1bb467dc3c89c30e269b129398e51c492512a7

Observation 2ccbb19d-9fa0-4319-9732-36c61cee2872 · outbound

This paper cites Relationtrack: Relation-aware mul- tiple object tracking with decoupled representation,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Relationtrack: Relation-aware mul- tiple object tracking with decoupled representation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.639742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.469910Z digest=sha256:8d4f030f1b96640f5ca3fd2321cb2072d0d203c3e90a134b47cb2b476afa57d9

Observation 6921ba04-cb8d-4400-9cb5-7a080f00ae7d · outbound

This paper cites Rethinking the competition between detection and reid in multiobject tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Rethinking the competition between detection and reid in multiobject tracking,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.627372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.473769Z digest=sha256:77464ccc4ac86058d91c6ceca3b0bdb1c2df7b1b7aaf0dd87e9800cd6c66a271

Observation b3464a4c-bad4-49e2-8fba-f301d0943a10 · outbound

This paper cites Simple cues lead to a strong multi-object tracker,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Simple cues lead to a strong multi-object tracker,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.614412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T18:32:49.477438Z digest=sha256:20245a7e853a9ede14bcaa9c7a87e004c851ffaca414b6b7ec183b39a48414cd

Pith citing papers

No inbound Pith citation observations are available.