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Paper Citation Record · LEDGER

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation

As of 13 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 2026-08-13T06:32:02.005865+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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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
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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 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.003162Z digest=sha256:9a41ec29783a06723c8712d962baae12e566b2a59b4bb7cb9dd93459ad82e8c4

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

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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.

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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
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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 2026-08-13T06:32:02.005865+00:00.

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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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.046650Z digest=sha256:0b9ecb5bd67cd7e9beeb5c25a4adc0601a481484d7633a29eabb8076cb750d16

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 2026-08-13T06:32:02.005865+00:00.

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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:bb5c8b2651607cc2e1cb8be1c981bfa4afff8dd1dc3f3481e047c0f6e1666afd

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
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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 2026-08-13T06:32:02.005865+00:00.

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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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.064822Z digest=sha256:4386c6f0afe4b5e140a33ca0639e286ae0eb1c935184bdc6432e61104b83f2b0

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.069146Z digest=sha256:648e7430de8da8852308e2b1ea7076478a2bdcc5d8e920e4b7a9a4d0684a3dc3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.078600Z digest=sha256:132e2f339889befcdd07f7f7a8a6706c3d27797e00ddf1643753889028a30521

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.082804Z digest=sha256:ca5a67598b469fcd830795cb64474ff2f9f7f992cd4fa34b6f15cd0d42c1a4bc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.087285Z digest=sha256:cbbcb3c7399fb1bfd47cd0b881a1788ff0aaa870c296ab1446cbcae811692ab7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.092243Z digest=sha256:d58eca8cb0b3acd38b54675115840381490c8dfab1eb26ae2e945db9ce62dd7a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.096527Z digest=sha256:661b6919fdd51ed408c9f7ab7ac56258ff49db3c11acce35d23ec8280ab64378

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.105454Z digest=sha256:3fe800f1465da72a39ea7c1e9d3bf16a7f1b9d9b21c5542849a597698fa09c2e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.109800Z digest=sha256:e2e6a3c033f40d459f8d99262652ed84b2f23ea7cfa5bc67c4607808b7db0140

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.118835Z digest=sha256:498b990a6e0da2a2adfd7f755d49d7f58b4b2804cbf37ecd11494b54e48e6f9a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.123518Z digest=sha256:63d10dd9fd68bb09a67b6629fd695e481f6b03960afaca1fcf6e94888d44b9b8

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:e49d7af9d2ed400b901ddab59979a2deff6b25c476e2890d172cef75b6b0098b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.132442Z digest=sha256:79f818efaa27ab500c44063f0ba7942ce4cbf35151b39455a22582ef05878807

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.136684Z digest=sha256:3c111b0c1a7465bae5157501ae8c5c4a68efe535af10027b294a7be665e16103

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.140948Z digest=sha256:25fe1ae6c9083a1760a1eda4bcbf5f45a14abb59b528df4e660baf0c9d542da7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.145494Z digest=sha256:a8e33546856f2613705716373497f8dc41e8d4e49587b67e20451de1fa9da4e1

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=sha256:2e97012201ad1060d8a964cda495bd5350573f41eff2266ca02acda7cab917df

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.154654Z digest=sha256:710b82b9a6c9d1b52dfa428357b0503738fbaf96fbcb1651bb6e782c0f3999af

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=sha256:5676381f10b930b884594a2ad692562a798de9e555890e45eb810c006e8cfb50

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.168384Z digest=sha256:be11a95ea6fde68cfa8dbbd2a5b22fde1e46e60944f28b7b2224fe49487b2373

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.172540Z digest=sha256:92e5c5f942c7e19a69353390c4a38644e0898f7da849abd5bb98cd1a89649d5f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.181589Z digest=sha256:6262a21b66ddb81c91d4a2ec3b060508e324e51a5bdeec30bdb0289fe8edbadb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.186119Z digest=sha256:5fedee3a426813d2a29ea2ce38432a9214c5a9c2f4cf9b150ddbe27114a7ed17

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.190302Z digest=sha256:a10c083ed3bfdecc9782a125714f0e985136d40385a1b3c5bcdee7b8c2fe092a

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:fc368b331fa47d7a7fde8c07d5fc9b64994d850d430ffd01c42ab112603dc99d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:52.199021Z digest=sha256:0242c21363b8ee2dc9f41e131b93b5bfe8efc91690fc7aa7300ed03db1de5d46

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:36:51.921060Z digest=sha256:b6e2755c121fcc14d9a118e9700b13c695b559f9f6a000b5616c90bb57a5ff3d

Pith citing papers

No inbound Pith citation observations are available.