Paper Citation Record · LEDGER

RoMo: Robust Motion Segmentation Improves Structure from Motion

As of 23 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 4 inbound Pith citation observations for arXiv:2411.18650.

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

pith.paper-citation-record.v1
2411.18650 v1

Coverage vector

measured 59 of 59 reference resolution

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measured 63 of 63 standing notices

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:20:09.949016Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:45:20.583821Z

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 4640ad00-3faf-4f0b-aef0-2021b159fc1c · outbound

This paper cites The best of both worlds: Combining cnns and geometric constraints for hierarchical motion seg- mentation.

RoMo: Robust Motion Segmentation Improves Structure from Motion The best of both worlds: Combining cnns and geometric constraints for hierarchical motion seg- mentation

Reference 1

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Observation e0ad96f6-9d00-4c7a-9263-46f2c6e8aecc · outbound

This paper cites Robust dy- namic motion estimation over time.

RoMo: Robust Motion Segmentation Improves Structure from Motion Robust dy- namic motion estimation over time

Reference 2

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RoMo: Robust Motion Segmentation Improves Structure from Motion Unresolved cited work

Reference 3

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Observation 22ce877c-4555-46ab-9444-76e0eeb5621c · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

RoMo: Robust Motion Segmentation Improves Structure from Motion Emerg- ing properties in self-supervised vision transformers

Reference 4

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Observation 8a167ebc-9bf3-4b52-9bf2-166b8987ffc6 · outbound

This paper cites LEAP-VO: Long-term Effective Any Point Tracking for Vi- sual Odometry.

RoMo: Robust Motion Segmentation Improves Structure from Motion LEAP-VO: Long-term Effective Any Point Tracking for Vi- sual Odometry

Reference 5

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Observation 329551b5-04dd-4f79-84de-a9fa480634c8 · outbound

This paper cites TAPIR: Tracking Any Point with Per-Frame Initialization and Temporal Refinement.

RoMo: Robust Motion Segmentation Improves Structure from Motion TAPIR: Tracking Any Point with Per-Frame Initialization and Temporal Refinement

Reference 6

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This paper cites Fischler and Robert C.

RoMo: Robust Motion Segmentation Improves Structure from Motion Fischler and Robert C

Reference 7

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This paper cites https://download.franka.

RoMo: Robust Motion Segmentation Improves Structure from Motion https://download.franka

Reference 8

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Observation 9f1fa385-c37c-49c6-9dc6-59f2aa766fc1 · outbound

This paper cites Motion segmentation and appearance change detection based 2D hand tracking.

RoMo: Robust Motion Segmentation Improves Structure from Motion Motion segmentation and appearance change detection based 2D hand tracking

Reference 9

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RoMo: Robust Motion Segmentation Improves Structure from Motion Unresolved cited work

Reference 10

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Observation bc009a79-b2ee-4a03-a522-87b2b8d6a88c · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

RoMo: Robust Motion Segmentation Improves Structure from Motion 3d gaussian splatting for real-time radiance field rendering

Reference 11

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This paper cites Kingma and Jimmy Ba.

RoMo: Robust Motion Segmentation Improves Structure from Motion Kingma and Jimmy Ba

Reference 12

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Observation ddfdf1ba-129b-4825-8b55-02c24336218c · outbound

This paper cites Moving Object Segmentation Using Optical Flow and Depth Information.

RoMo: Robust Motion Segmentation Improves Structure from Motion Moving Object Segmentation Using Optical Flow and Depth Information

Reference 13

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Observation 29e06d95-5f94-4f4d-974b-cb8255950dcb · outbound

This paper cites Primary object segmen- tation in videos based on region augmentation and reduction.

RoMo: Robust Motion Segmentation Improves Structure from Motion Primary object segmen- tation in videos based on region augmentation and reduction

Reference 14

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Observation 54f3cdc7-1db9-42c5-94ca-f5c239591e88 · outbound

This paper cites Seg- menting Invisible Moving Objects.

RoMo: Robust Motion Segmentation Improves Structure from Motion Seg- menting Invisible Moving Objects

Reference 15

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Observation b7e48862-b16b-4e92-a786-17a8c408b3f6 · outbound

This paper cites Guided Slot Attention for Unsupervised Video Object Segmentation.

RoMo: Robust Motion Segmentation Improves Structure from Motion Guided Slot Attention for Unsupervised Video Object Segmentation

Reference 16

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RoMo: Robust Motion Segmentation Improves Structure from Motion Unresolved cited work

Reference 17

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Reference 18

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Observation 9157d13a-d39f-4c39-bea2-d787a84f7f2f · outbound

This paper cites Learning smooth neural functions via lipschitz regularization.

RoMo: Robust Motion Segmentation Improves Structure from Motion Learning smooth neural functions via lipschitz regularization

Reference 19

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Observation a0d5608c-dda4-4b2d-b834-f8b20ec110be · outbound

This paper cites Robust Dynamic Radiance Fields.

RoMo: Robust Motion Segmentation Improves Structure from Motion Robust Dynamic Radiance Fields

Reference 20

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RoMo: Robust Motion Segmentation Improves Structure from Motion Unresolved cited work

Reference 21

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Observation 6fd55d97-5ff4-493c-8917-e98632f66d44 · outbound

This paper cites The fundamental matrix: Theory, algorithms, and stability analysis.

RoMo: Robust Motion Segmentation Improves Structure from Motion The fundamental matrix: Theory, algorithms, and stability analysis

Reference 22

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Observation 448ebef8-31ac-4f6c-8f68-18177ce690ad · outbound

This paper cites Unsupervised Space-Time Network for Temporally-Consistent Segmenta- tion of Multiple Motions.

RoMo: Robust Motion Segmentation Improves Structure from Motion Unsupervised Space-Time Network for Temporally-Consistent Segmenta- tion of Multiple Motions

Reference 23

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Observation 9c1b3cbe-393c-434d-b88a-5c4d3ef4dc08 · outbound

This paper cites EM-Driven Unsupervised Learning for Efficient Motion Segmentation.

RoMo: Robust Motion Segmentation Improves Structure from Motion EM-Driven Unsupervised Learning for Efficient Motion Segmentation

Reference 24

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This paper cites Srinivasan, Matthew Tancik, Jonathan T.

RoMo: Robust Motion Segmentation Improves Structure from Motion Srinivasan, Matthew Tancik, Jonathan T

Reference 25

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This paper cites Object segmentation in video: a hierarchical variational approach for turning point trajecto- ries into dense regions.

RoMo: Robust Motion Segmentation Improves Structure from Motion Object segmentation in video: a hierarchical variational approach for turning point trajecto- ries into dense regions

Reference 26

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This paper cites Segmentation of Moving Objects by Long Term Video Analysis.

RoMo: Robust Motion Segmentation Improves Structure from Motion Segmentation of Moving Objects by Long Term Video Analysis

Reference 27

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This paper cites Mrf-based motion seg- mentation exploiting a 2d motion model robust estimation.

RoMo: Robust Motion Segmentation Improves Structure from Motion Mrf-based motion seg- mentation exploiting a 2d motion model robust estimation

Reference 28

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Observation 4b0b23da-2d90-45ae-9752-e92bd3126d93 · outbound

This paper cites A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation.

RoMo: Robust Motion Segmentation Improves Structure from Motion A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

Reference 29

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This paper cites Vi- sion transformers for dense prediction.

RoMo: Robust Motion Segmentation Improves Structure from Motion Vi- sion transformers for dense prediction

Reference 30

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Observation bee29c26-527f-4b7f-983b-f74d13e5a9a1 · outbound

This paper cites Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation.

RoMo: Robust Motion Segmentation Improves Structure from Motion Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation

Reference 31

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Observation e77fca16-c6ca-419c-92bf-8e162838ae41 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

RoMo: Robust Motion Segmentation Improves Structure from Motion SAM 2: Segment Anything in Images and Videos

Reference 32

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This paper cites Nerf on-the-go: Exploiting uncertainty for distractor-free nerfs in the wild.

RoMo: Robust Motion Segmentation Improves Structure from Motion Nerf on-the-go: Exploiting uncertainty for distractor-free nerfs in the wild

Reference 33

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This paper cites High-resolution image syn- thesis with latent diffusion models.

RoMo: Robust Motion Segmentation Improves Structure from Motion High-resolution image syn- thesis with latent diffusion models

Reference 34

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RoMo: Robust Motion Segmentation Improves Structure from Motion Robustnerf: Ignor- ing distractors with robust losses

Reference 35

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This paper cites SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting.

RoMo: Robust Motion Segmentation Improves Structure from Motion SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting

Reference 36

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RoMo: Robust Motion Segmentation Improves Structure from Motion very scattered

Reference 37

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This paper cites Structure-from-motion revisited.

RoMo: Robust Motion Segmentation Improves Structure from Motion Structure-from-motion revisited

Reference 39

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This paper cites Pixelwise view selection for un- structured multi-view stereo.

RoMo: Robust Motion Segmentation Improves Structure from Motion Pixelwise view selection for un- structured multi-view stereo

Reference 40

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Observation 69d63e61-7f7a-4e77-b154-c85a03ed6537 · outbound

This paper cites Theia multiview geometry library: Tutorial & reference.

RoMo: Robust Motion Segmentation Improves Structure from Motion Theia multiview geometry library: Tutorial & reference

Reference 41

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This paper cites Computer Vision: Algorithms and Appli- cations.

RoMo: Robust Motion Segmentation Improves Structure from Motion Computer Vision: Algorithms and Appli- cations

Reference 42

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Observation ef5a8fa7-8861-4fbb-b77f-f369a5eb1a1e · outbound

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

RoMo: Robust Motion Segmentation Improves Structure from Motion RAFT: Recurrent all-pairs field transforms for optical flow

Reference 43

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This paper cites DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras.

RoMo: Robust Motion Segmentation Improves Structure from Motion DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

Reference 44

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Observation 423e0f0d-5ae1-4d60-9bc1-6dab4b645913 · outbound

This paper cites Fitzgibbon, and Andrew Zisserman.

RoMo: Robust Motion Segmentation Improves Structure from Motion Fitzgibbon, and Andrew Zisserman

Reference 45

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This paper cites Dym- SLAM: 4D Dynamic Scene Reconstruction Based on Geo- metrical Motion Segmentation.

RoMo: Robust Motion Segmentation Improves Structure from Motion Dym- SLAM: 4D Dynamic Scene Reconstruction Based on Geo- metrical Motion Segmentation

Reference 46

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Observation d4a0696f-152e-44e1-bf92-fb5110d21549 · outbound

This paper cites Representing mov- ing images with layers.

RoMo: Robust Motion Segmentation Improves Structure from Motion Representing mov- ing images with layers

Reference 47

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Observation af395c3c-37a1-4dca-b88b-4230f8171eb4 · outbound

This paper cites DUSt3R: Geometric 3D Vision Made Easy.

RoMo: Robust Motion Segmentation Improves Structure from Motion DUSt3R: Geometric 3D Vision Made Easy

Reference 48

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Observation 2655375e-bacb-4ca5-9652-bb582b303852 · outbound

This paper cites VideoCutLER: Surprisingly Simple Unsu- pervised Video Instance Segmentation.

RoMo: Robust Motion Segmentation Improves Structure from Motion VideoCutLER: Surprisingly Simple Unsu- pervised Video Instance Segmentation

Reference 49

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Observation edca8960-68f1-47c5-8247-6dcea451575c · outbound

This paper cites A sur- vey of vision-based methods for action representation, seg- mentation and recognition.

RoMo: Robust Motion Segmentation Improves Structure from Motion A sur- vey of vision-based methods for action representation, seg- mentation and recognition

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.772848Z

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Observation 8b9c1d20-84b9-43bb-b3ec-b3b2ced504fc · outbound

This paper cites Robust Global Translations with 1DSfM.

RoMo: Robust Motion Segmentation Improves Structure from Motion Robust Global Translations with 1DSfM

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.756066Z

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Observation 891f9a35-7f4a-4503-8e86-50afc4ef4e35 · outbound

This paper cites A gradient-based method for general motion estimation and segmentation.

RoMo: Robust Motion Segmentation Improves Structure from Motion A gradient-based method for general motion estimation and segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.737877Z

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Observation 35463791-34f6-496e-9058-cdcb79caf4e7 · outbound

This paper cites Segmenting Moving Objects via an Object-Centric Layered Representa- tion.

RoMo: Robust Motion Segmentation Improves Structure from Motion Segmenting Moving Objects via an Object-Centric Layered Representa- tion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.715159Z

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Observation 80ceec63-c5f3-4fdd-b251-2b7c8606f725 · outbound

This paper cites Self-Supervised Video Object Segmentation by Motion Grouping.

RoMo: Robust Motion Segmentation Improves Structure from Motion Self-Supervised Video Object Segmentation by Motion Grouping

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.696062Z

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Observation c03dfbd0-a8d9-468b-9612-8cca19e5d5ed · outbound

This paper cites DyStaB: Un- supervised Object Segmentation via Dynamic-Static Boot- strapping.

RoMo: Robust Motion Segmentation Improves Structure from Motion DyStaB: Un- supervised Object Segmentation via Dynamic-Static Boot- strapping

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.677396Z

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Observation c298c26f-373d-4912-940a-8061eef33288 · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

RoMo: Robust Motion Segmentation Improves Structure from Motion MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T11:43:04.490878Z

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Observation 5f3a6ca0-827e-4ddb-a951-3486b31277d3 · outbound

This paper cites an unresolved cited work.

RoMo: Robust Motion Segmentation Improves Structure from Motion Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:43:04.660098Z

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Observation 45139162-1069-4ff4-bde3-d1164f2468e2 · outbound

This paper cites ParticleSfM: Exploiting Dense Point Trajec- tories for Localizing Moving Cameras in the Wild.

RoMo: Robust Motion Segmentation Improves Structure from Motion ParticleSfM: Exploiting Dense Point Trajec- tories for Localizing Moving Cameras in the Wild

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.640986Z

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Observation b4836b8c-8f02-4833-8503-87ca6ae4913b · outbound

This paper cites Casual Motion.

RoMo: Robust Motion Segmentation Improves Structure from Motion Casual Motion

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:43:04.620476Z

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Pith citing papers

Observation 95ad4f09-758a-41d5-b928-541b750c046c · inbound

RobustSplat: Decoupling Densification and Dynamics for Transient-Free 3DGS cites this paper.

RobustSplat: Decoupling Densification and Dynamics for Transient-Free 3DGS RoMo: Robust Motion Segmentation Improves Structure from Motion

Reference 12

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Observation 6337ad44-b4ed-402d-a017-08de411ead96 · inbound

ViPE: Video Pose Engine for 3D Geometric Perception cites this paper.

ViPE: Video Pose Engine for 3D Geometric Perception RoMo: Robust Motion Segmentation Improves Structure from Motion

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:41:08.803452Z

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Observation 18d15aa1-192c-4ccb-8757-1e70cd2ad247 · inbound

RiGS: Rigid-aware 4D Gaussian Splatting from a Single Monocular Video cites this paper.

RiGS: Rigid-aware 4D Gaussian Splatting from a Single Monocular Video RoMo: Robust Motion Segmentation Improves Structure from Motion

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:20.586537Z

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Observation a07a3781-e620-4dac-b2ee-659aba00899f · inbound

Robust Multimodal Dynamic Object Segmentation cites this paper.

Robust Multimodal Dynamic Object Segmentation RoMo: Robust Motion Segmentation Improves Structure from Motion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.925332Z

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