Pith. sign in

Paper Citation Record · LEDGER

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation

As of 15 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2411.09551.

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

pith.paper-citation-record.v1
2411.09551 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:36:52.199021Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

63 of 63 outbound references displayed

  • verified exact3
  • verified fuzzy44
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4386391-e59b-4e21-aa63-700cef141188 · outbound

This paper cites MAGSAC++, a fast, reliable and accurate robust estimator.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation MAGSAC++, a fast, reliable and accurate robust estimator

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.163587Z

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.

source=pdf_text observed=2026-08-12T20:36:51.915703Z digest=sha256:2ab95d3664c7d418c7311bf815bfc90b190ecfc6af15756a0e63e9580db55fe6

Observation 0ecb8c21-d75a-4a68-9c0e-f25a64976289 · outbound

This paper cites Visual object tracking using adaptive corre- lation filters.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Visual object tracking using adaptive corre- lation filters

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:51.925510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:51.925510Z digest=sha256:8e736d52bc6144ee99f4a9e6b452f279d08e0fb079887f6838f139f713345c58

Observation a8bee543-fae8-4207-aab2-6c2120278ebc · outbound

This paper cites A Short Note on the Kinetics-700 Human Action Dataset.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation A Short Note on the Kinetics-700 Human Action Dataset

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:51.930204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:51.930204Z digest=sha256:dc50f0666625e2b69351659de2519f942cf6722de29657ef02f96620d729c161

Observation 16f4b109-df25-4c4c-af4c-6e03c7307c14 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Quo vadis, action recognition? a new model and the kinetics dataset

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.123498Z

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.

source=pdf_text observed=2026-08-12T20:36:51.935204Z digest=sha256:647b7b4ebcce13b520bd45d2dfd9cf622a41ff032fc42afbaf8539d66dfda5df

Observation c57fb5f2-386f-479a-a57a-e235ad511d8a · outbound

This paper cites FlowTrack: Revisiting optical flow for long- range dense tracking.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation FlowTrack: Revisiting optical flow for long- range dense tracking

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.108992Z

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.

source=pdf_text observed=2026-08-12T20:36:51.939779Z digest=sha256:83b88324124a515354a9323953068d5120d62be39ed1e6dab11e0f11fdc0a04c

Observation 7fdc7e77-80e7-47a8-aeab-f44d0cca91e8 · outbound

This paper cites Multi-reference combinatorial strategy towards longer long-term dense motion estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Multi-reference combinatorial strategy towards longer long-term dense motion estimation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.094029Z

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.

source=pdf_text observed=2026-08-12T20:36:51.944131Z digest=sha256:73ef73e4d1b233f78e23e607a666d5ad83f85e2d71668ee67d3230af5b0d5f7b

Observation e0be671d-a7b1-41b7-8e2f-eb53a3a47b1c · outbound

This paper cites From optical flow to dense long term cor- respondences.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation From optical flow to dense long term cor- respondences

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.078880Z

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.

source=pdf_text observed=2026-08-12T20:36:51.948743Z digest=sha256:31cc0c8ec27b0f3af2d043e328f57f5abd2e482fa0fe2391c59675427de0112d

Observation 33ebf03d-b4a3-4dc9-880d-9231e7f8829e · outbound

This paper cites Atom: Accurate tracking by overlap max- imization.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Atom: Accurate tracking by overlap max- imization

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.063870Z

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.

source=pdf_text observed=2026-08-12T20:36:51.953588Z digest=sha256:9c1696631a8b8341da8993bb4a05633d17fb29a330121baad50ef65c22f73317

Observation 779ab82d-5555-4be1-98b0-0301515868d2 · outbound

This paper cites an unresolved cited work.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:36:53.049567Z

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.

source=pdf_text observed=2026-08-12T20:36:51.958035Z digest=sha256:a0c17150ddddc9d9a9c5eb02d4d670098739b9d9d563f7be3c141b4b6b964834

Observation a2e2f44f-d2e1-42aa-a9b6-e808d6c8ec68 · outbound

This paper cites TAP-Vid: A bench- mark for tracking any point in a video.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation TAP-Vid: A bench- mark for tracking any point in a video

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.034618Z

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.

source=pdf_text observed=2026-08-12T20:36:51.962280Z digest=sha256:79bbbc1f270a833551e7f8f0534f094ae342783820b485f6e3bd55ed0f8b9a90

Observation a92827f6-42bd-41d9-a2ac-5b43a0eb6acd · outbound

This paper cites BootsTAP: Boot- strapped training for tracking-any-point, 2024.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation BootsTAP: Boot- strapped training for tracking-any-point, 2024

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.019321Z

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.

source=pdf_text observed=2026-08-12T20:36:51.967048Z digest=sha256:ceed03f86e5890ae0be5f3847bfa68224ac8c9ffe501713ded466ae1af3d3f85

Observation 352136f4-b053-4407-b8b3-000cb4902232 · outbound

This paper cites TAPIR: Tracking any point with per-frame initialization and temporal refinement.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation TAPIR: Tracking any point with per-frame initialization and temporal refinement

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:53.004444Z

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.

source=pdf_text observed=2026-08-12T20:36:51.971628Z digest=sha256:7cc0648d61a79ace8cec493486d7e0c159ab4e8804a2b26bc0eb6e2f53746507

Observation 8a49fdec-83a8-469b-a4ca-aba943fcdf33 · outbound

This paper cites MemFlow: Optical flow es- timation and prediction with memory.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation MemFlow: Optical flow es- timation and prediction with memory

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.989045Z

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.

source=pdf_text observed=2026-08-12T20:36:51.976058Z digest=sha256:7152bc2dc97e9323d23f3bf665282053ab2e6fe92f894184c7076881ad5b96d2

Observation 419dce34-c100-40ac-8535-9b77c7749feb · outbound

This paper cites Flownet: Learn- ing optical flow with convolutional networks.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Flownet: Learn- ing optical flow with convolutional networks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.973973Z

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.

source=pdf_text observed=2026-08-12T20:36:51.980483Z digest=sha256:f8fed502755af1e9c6a4cb99f953ca9d745498a76e4dc037874725396bb27b42

Observation 407d302d-37bb-4022-8991-98e2154d37f2 · outbound

This paper cites DKM: Dense kernelized feature matching for geometry estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation DKM: Dense kernelized feature matching for geometry estimation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.958278Z

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.

source=pdf_text observed=2026-08-12T20:36:51.985047Z digest=sha256:d309055da8501790a283d7bb19dc406179e628900ac6d0c548572965a8d6c086

Observation 06cbed1e-8140-4ebe-b21e-467cd40dbe02 · outbound

This paper cites RoMa: Revisiting robust losses for dense feature matching.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation RoMa: Revisiting robust losses for dense feature matching

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.941982Z

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.

source=pdf_text observed=2026-08-12T20:36:51.989416Z digest=sha256:9333dbc9ea2c975a76c59c0c4a9a682cdcb7df698e4e7188d85a7ff2111ba995

Observation 56a6b8c2-7d8e-4a1a-951c-438d322c9803 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.925685Z

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.

source=pdf_text observed=2026-08-12T20:36:51.993996Z digest=sha256:dddf85208e018f8c95b1f20758326bd3740db4f534826e4c81e73db047079dc9

Observation 0c774da9-18b0-4696-bbc8-48a1e36699e4 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.910780Z

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.

source=pdf_text observed=2026-08-12T20:36:51.998450Z digest=sha256:8c2a5c9688cb02b37465c146bf96233f97a1438b2930e343143add9de166446b

Observation fbea1f7f-292c-41c2-9d0a-4c6d99546038 · outbound

This paper cites Kubric: A scalable dataset generator.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Kubric: A scalable dataset generator

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.895993Z

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.

source=pdf_text observed=2026-08-12T20:36:52.003162Z digest=sha256:472e30a01b2fa33c3510930306f7edb622b8a01c3bae352da956802a307ff465

Observation 0c7d7a59-a870-4a62-8a32-6a6742063f59 · outbound

This paper cites Particle video revisited: Tracking through occlusions using point trajectories.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Particle video revisited: Tracking through occlusions using point trajectories

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.881394Z

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.

source=pdf_text observed=2026-08-12T20:36:52.007702Z digest=sha256:c6f7030fe5e53776c5e38a9c85d16b46ee47c183bc0fdd15f40b942ecae1cca4

Observation b5b7c028-d53d-448f-b4b4-bdc9f84eece2 · outbound

This paper cites Deep residual learning for image recognition.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Deep residual learning for image recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.866637Z

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.

source=pdf_text observed=2026-08-12T20:36:52.012057Z digest=sha256:e36d0e8875a9eacdc9104c01041fb16668a81fecfb338fb648ec9138eb73147e

Observation 861ab4f9-588a-4cd1-a38d-35380f8c678f · outbound

This paper cites Determining opti- cal flow.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Determining opti- cal flow

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.016355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.016355Z digest=sha256:c7d1dff2bbaf99f883b41a7acf0959a6677d8e67434145fdd5865252ef3061b7

Observation 0ef64528-c544-40ee-8e08-92c8b40d83ae · outbound

This paper cites Flowformer: A transformer architecture for optical flow.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Flowformer: A transformer architecture for optical flow

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.840293Z

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.

source=pdf_text observed=2026-08-12T20:36:52.020747Z digest=sha256:0beb1663f6d40908334fa6a734fc2e7d8f77fe7f5c67240721e55ee3822c9b59

Observation 438520ae-904f-45e3-9ce3-a5ec4ef18ded · outbound

This paper cites Flownet 2.0: Evolution of optical flow estimation with deep networks.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Flownet 2.0: Evolution of optical flow estimation with deep networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.824336Z

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.

source=pdf_text observed=2026-08-12T20:36:52.025025Z digest=sha256:e69b3e379780f066e20c15940ddf35eb76104bd9087009f2e8a172738f00ddf5

Observation ca934e25-7fb4-4035-a36b-9573b3936dc1 · outbound

This paper cites Dense matchers for dense tracking.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Dense matchers for dense tracking

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.809185Z

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.

source=pdf_text observed=2026-08-12T20:36:52.029382Z digest=sha256:c90de5fc95373e70b4ef4a3bf1a4ffef79b3ed2e2aaf96325d37111f5e37eaa8

Observation 38e667fc-038e-42fa-ab36-dc1113bb0565 · outbound

This paper cites Tracking-learning-detection.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Tracking-learning-detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.793833Z

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.

source=pdf_text observed=2026-08-12T20:36:52.033576Z digest=sha256:934223588332a5a1e5d5b2c24af39679b28053bc09f3e50429c3e132c3539936

Observation bbb9c402-af35-4d4a-b60d-37c64aed3e53 · outbound

This paper cites CoTracker: It is Better to Track Together.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation CoTracker: It is Better to Track Together

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.037994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.037994Z digest=sha256:4b4dc63ca13dd0a2ba9ca3670f04396da44fb7fa774de304ec244b7ec7f4e49d

Observation a50f611b-17aa-4063-b425-70417fdd7fc4 · outbound

This paper cites The eighth visual object tracking vot2020 chal- lenge results.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation The eighth visual object tracking vot2020 chal- lenge results

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.778696Z

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.

source=pdf_text observed=2026-08-12T20:36:52.042491Z digest=sha256:fb102cd2b55d3dc9d1e9eb28f9d6d9d258b51920d95f8a8a1f0a095539c404c9

Observation fd32d24c-d245-47a5-99a3-3b1fca096a08 · outbound

This paper cites Dense optical tracking: connecting the dots.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Dense optical tracking: connecting the dots

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.762078Z

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.

source=pdf_text observed=2026-08-12T20:36:52.046650Z digest=sha256:25f024debec6878480b88fe8cccad6a87710e6421bf7f57679aea224288935ff

Observation 75be23c8-f4b0-4af7-bef0-8159ade89137 · outbound

This paper cites Dense optical tracking: Connecting the dots.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Dense optical tracking: Connecting the dots

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.747688Z

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.

source=pdf_text observed=2026-08-12T20:36:52.050980Z digest=sha256:044881f85ce014cedd8e9a5396253ef81088a6b923a7d35a653b8c7d61df9e7d

Observation 6a33159f-334f-4bf2-a6c0-dec0102fc1c3 · outbound

This paper cites TAPTR: Tracking Any Point with Transformers as Detection.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation TAPTR: Tracking Any Point with Transformers as Detection

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.055473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.055473Z digest=sha256:1512ce234f1c257f43ed7e988af4e12a9db8cb53a396ef2ca2d3ab40b23c90fa

Observation 830fb0b9-ac5c-4ac5-8262-aec030b2d2a8 · outbound

This paper cites Centroid-based graph matching networks for planar object tracking.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Centroid-based graph matching networks for planar object tracking

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.733013Z

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.

source=pdf_text observed=2026-08-12T20:36:52.060227Z digest=sha256:1ce34d8ac54df40d1524a5319c6b827033763fb85f53721a74adb8c17c5988fa

Observation 4fce7097-e95c-4236-b15f-b584b7f2a55f · outbound

This paper cites Planar object tracking benchmark in the wild.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Planar object tracking benchmark in the wild

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.718583Z

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.

source=pdf_text observed=2026-08-12T20:36:52.064822Z digest=sha256:d8bcebfd7452f3b82a93f2c2ed96dc0040f6293131ea3baecf80d392e3b2b2db

Observation 1a3ccb60-c1dc-427a-8bd5-c05c950a3b5c · outbound

This paper cites Planar object tracking in the wild: A benchmark.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Planar object tracking in the wild: A benchmark

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.703773Z

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.

source=pdf_text observed=2026-08-12T20:36:52.069146Z digest=sha256:99a3d0f6c1c5f515ea07584963ce720916b3d3e9ccb714a5365661f51adfe044

Observation 9ce3e176-e4df-459b-8f55-1b5f016958e9 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.074147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.074147Z digest=sha256:46d6f4561868dae801de7c9d346a57e494134ccb4701484b95aadc18d1478e74

Observation a84559a2-ebcc-44bc-ac7e-5b53e78f020e · outbound

This paper cites RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.679309Z

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.

source=pdf_text observed=2026-08-12T20:36:52.078600Z digest=sha256:1c66f9d9b4872e71efe7becfeac7d42b849d6b77be41ebeacbecae913277cbba

Observation ecacfdba-ad5e-4580-81d8-de426516ae9d · outbound

This paper cites Recurrent partial kernel network for efficient optical flow estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Recurrent partial kernel network for efficient optical flow estimation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.665055Z

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.

source=pdf_text observed=2026-08-12T20:36:52.082804Z digest=sha256:6e6abb1b2ae1cd54f68d24d0d5ccc30463dbabe26b2b4ca29a1598d153c95260

Observation f71a52ae-7a6e-4c40-8d8e-42cecb459bf0 · outbound

This paper cites Multi-object Monocular SLAM for Dynamic Environments.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Multi-object Monocular SLAM for Dynamic Environments

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:36:52.389564Z

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.

source=pdf_text observed=2026-08-12T20:36:52.087285Z digest=sha256:ff2de13a7615a8451ab6363f4ebd7755389a0708dd5ab6fa5acc8382af7931b3

Observation 476668cd-eeea-412e-af9b-718e1831dfb5 · outbound

This paper cites MFT: Long-term tracking of every pixel.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation MFT: Long-term tracking of every pixel

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.650855Z

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.

source=pdf_text observed=2026-08-12T20:36:52.092243Z digest=sha256:f5e9aa505a4e229ed76766f1b9abdfa4d068953c35e943c029862ac4d54c9735

Observation 3582c4f0-ac1b-4021-a5f8-a1cddcf5600d · outbound

This paper cites Continual oc- clusion and optical flow estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Continual oc- clusion and optical flow estimation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.636471Z

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.

source=pdf_text observed=2026-08-12T20:36:52.096527Z digest=sha256:25d2e09b86fdcbf145cfe97e90d6282ebbb731ce07616258b9f54c27085b61c3

Observation d2a954a3-e612-49ee-9393-8228cfd23b65 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation DINOv2: Learning Robust Visual Features without Supervision

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.100870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.100870Z digest=sha256:8572057288f54fac7a29396f3b3a592426f6ab4d2e7eb4702c4d15c6a8eaf960

Observation f1883f9c-8c4b-43ab-b346-7d7c6f60f529 · outbound

This paper cites Online invariance selection for local feature de- scriptors.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Online invariance selection for local feature de- scriptors

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.622197Z

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.

source=pdf_text observed=2026-08-12T20:36:52.105454Z digest=sha256:3d958d593215c070efb7f18135969adba01349c685d063a1060ec934d9102d8b

Observation 04f3b1b6-9ade-450a-9e0a-c725d7ce4a97 · outbound

This paper cites Perazzi, J.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Perazzi, J

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.607784Z

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.

source=pdf_text observed=2026-08-12T20:36:52.109800Z digest=sha256:aa8ab291afc0a2f8f4c9280ad2849bad00e2b62a7b0cd6ec24bec33d436e9ab1

Observation 83b2b35c-f88f-48db-bc6c-c472b75bfafb · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.114130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.114130Z digest=sha256:3e38f8706750d26ef42058ebafb5529e745fb55a27cf74072152fbb8c5beaf9d

Observation 5a342719-e1c5-4160-9814-4a66a523144e · outbound

This paper cites Particle video: Long-range mo- tion estimation using point trajectories.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Particle video: Long-range mo- tion estimation using point trajectories

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.593223Z

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.

source=pdf_text observed=2026-08-12T20:36:52.118835Z digest=sha256:fcf786c14550ab495ec7e4ec86fcbde1eb537246176ffcee8d2faeb979686f4b

Observation 7155d8eb-e875-4a64-8841-8f2457716156 · outbound

This paper cites Planar object tracking via weighted optical flow.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Planar object tracking via weighted optical flow

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.578255Z

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.

source=pdf_text observed=2026-08-12T20:36:52.123518Z digest=sha256:48a879ba45013e653972b7f67af977d8b2d9c2fb767a4eabf4b1bb1030550d3d

Observation 1aa487fc-2f1e-4bff-9516-a8b3dbea0bd6 · outbound

This paper cites VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.127852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.127852Z digest=sha256:7110fada31a12f6b04e3d522c529dea3e5fbb157c947416d3341ae5703793272

Observation 4f12f783-b6dd-4752-9db9-89f73b9fdf51 · outbound

This paper cites FlowFormer++: Masked cost volume autoen- coding for pretraining optical flow estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation FlowFormer++: Masked cost volume autoen- coding for pretraining optical flow estimation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.562119Z

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.

source=pdf_text observed=2026-08-12T20:36:52.132442Z digest=sha256:3122cc2d16a03ed44cc7714b7a6cfcc8b2d359739d5251b091dee4f28cb52f7f

Observation dfbcb4a3-41ae-461a-bd82-6229384f46a5 · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learning rates.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Super-convergence: Very fast training of neural networks using large learning rates

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.547655Z

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.

source=pdf_text observed=2026-08-12T20:36:52.136684Z digest=sha256:a2e257088e580b532599f606fc60e3ac1c2871c241f5c80ef27b7f9f4fb2672c

Observation 4dee2eae-51c4-4e4f-9fcb-2fbfab75c0da · outbound

This paper cites PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.532831Z

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.

source=pdf_text observed=2026-08-12T20:36:52.140948Z digest=sha256:30765471320f3e96f072ef8f24d35de4d81930b37eb7a8bb9eea88332dacb835

Observation 9928ad81-42f9-412f-a635-e21942bfac83 · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation RAFT: Recurrent all-pairs field transforms for optical flow

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.517900Z

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.

source=pdf_text observed=2026-08-12T20:36:52.145494Z digest=sha256:e2afb5307a781b99b794e3985f49e68187228cc763c29102d3c47e9bcb2eb902

Observation 94b413a0-9ad3-46e6-9a99-aaa76b363d29 · outbound

This paper cites RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.150077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.150077Z digest=sha256:14de29ac49255bd845683c6d5881c42ba168baceb412c460286c9e81c3acd7c2

Observation 17b60301-d177-43ef-847a-3b7c63adc75b · outbound

This paper cites Tracking Everything Everywhere All at Once.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Tracking Everything Everywhere All at Once

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:36:52.311362Z

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.

source=pdf_text observed=2026-08-12T20:36:52.154654Z digest=sha256:bdb33e29ffd1d6fefcda9e141e5935045f45d591913ecc12032ff8c11ffddbe4

Observation b2419a56-2852-485b-9063-9d34d33e6998 · outbound

This paper cites SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.163510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.163510Z digest=sha256:24b78558889fa3a698d18ad7eaace70acf34a062bae511d2f1fc006eaa53027b

Observation 1c108bc5-dfe3-4efd-abab-2a8bf767416a · outbound

This paper cites Fu- ture video synthesis with object motion prediction.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Fu- ture video synthesis with object motion prediction

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.502870Z

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.

source=pdf_text observed=2026-08-12T20:36:52.168384Z digest=sha256:89ff5796cae9780f9e02a9b9d34eec59e2bb8316292dbe9e0d0a5715655afb25

Observation e9c2781c-7c21-4c0e-944a-887f70cff988 · outbound

This paper cites SpatialTracker: Tracking Any 2D Pixels in 3D Space.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation SpatialTracker: Tracking Any 2D Pixels in 3D Space

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:36:52.276321Z

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.

source=pdf_text observed=2026-08-12T20:36:52.172540Z digest=sha256:b533c68b4a2fc910fc04c0876d23cd1aec751fa3a0b45aebc5f78e911bb380b5

Observation 227c37ab-3017-4595-a2cd-17f2fbca5d2b · outbound

This paper cites Gmflow: Learning optical flow via global matching.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Gmflow: Learning optical flow via global matching

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.176994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.176994Z digest=sha256:fec9c5cde331ee9d86a26b5d5f3d23dd8a7338118d277b7e98c8858215531632

Observation f1148d27-0b28-4bbd-81dd-0e73716b268c · outbound

This paper cites Lla-flow: A lightweight local aggregation on cost volume for optical flow estimation.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Lla-flow: A lightweight local aggregation on cost volume for optical flow estimation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.478981Z

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.

source=pdf_text observed=2026-08-12T20:36:52.181589Z digest=sha256:9ce408935225789ae032959a2368a3a6cc6cd3e13f7be04b3b45b613bfebd124

Observation 955bb766-b2d3-43d8-89d7-29cb5dbe64cd · outbound

This paper cites Ho- mography decomposition networks for planar object track- ing.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Ho- mography decomposition networks for planar object track- ing

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.464352Z

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.

source=pdf_text observed=2026-08-12T20:36:52.186119Z digest=sha256:622a5569e51be8072d3bc2dab919c791439cb0a03ec2853b9f20a35652663e85

Observation 389a4c68-f410-40c2-96fc-16c0a0a79b71 · outbound

This paper cites HVC-Net: Unifying ho- mography, visibility, and confidence learning for planar ob- ject tracking.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation HVC-Net: Unifying ho- mography, visibility, and confidence learning for planar ob- ject tracking

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:36:52.449551Z

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.

source=pdf_text observed=2026-08-12T20:36:52.190302Z digest=sha256:66a183ac70854a57723b597638e14e5bd826aa0d35f3e02c7bad1449b964e1eb

Observation 7f704418-11fc-4c09-9c26-dbc4a35b34d6 · outbound

This paper cites NeuFlow v2: Push High-Efficiency Optical Flow To the Limit.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation NeuFlow v2: Push High-Efficiency Optical Flow To the Limit

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.194579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.194579Z digest=sha256:859a7700aa47cc579b09fe0dc18fa8284c7e70d35423bc50ab74579a5ad82dec

Observation 33331186-8bf5-45ec-8671-a4d0ceb2d08f · outbound

This paper cites NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge Devices.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge Devices

Reference 63

Resolution
malformed identifier
local_arxiv, observed 2026-08-12T20:36:52.241376Z

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.

source=pdf_text observed=2026-08-12T20:36:52.199021Z digest=sha256:446f1c6e655a6c72a1f6f8210787ca41e881c5083e97c1a00ce482d8deba7cf7

Observation 32e5e6fc-5da8-47de-8df3-fae44b7c64ce · outbound

This paper cites an unresolved cited work.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation Unresolved cited work

Reference 2020

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:36:53.147876Z

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.

source=pdf_text observed=2026-08-12T20:36:51.921060Z digest=sha256:dd7d8c1bf2d667b77e683038c8c1f49287abf588cfc602ac8cdbf94fade67738

Pith citing papers

No inbound Pith citation observations are available.