On Moving Object Segmentation from Monocular Video with Transformers | Paper Citation Record

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This paper cites A database and eval- uation methodology for optical flow.

On Moving Object Segmentation from Monocular Video with Transformers A database and eval- uation methodology for optical flow

Reference 1

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Observation 01c3951e-38f7-4830-9ebc-1e1c66bffcd5 · outbound

This paper cites Multimodal machine learning: A survey and tax- onomy.

On Moving Object Segmentation from Monocular Video with Transformers Multimodal machine learning: A survey and tax- onomy

Reference 2

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This paper cites Discovering objects that can move.

On Moving Object Segmentation from Monocular Video with Transformers Discovering objects that can move

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This paper cites Object Discovery from Motion-Guided Tokens.

On Moving Object Segmentation from Monocular Video with Transformers Object Discovery from Motion-Guided Tokens

Reference 4

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This paper cites It’s moving! a prob- abilistic model for causal motion segmentation in moving camera videos.

On Moving Object Segmentation from Monocular Video with Transformers It’s moving! a prob- abilistic model for causal motion segmentation in moving camera videos

Reference 5

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This paper cites Moa-net: self-supervised motion segmentation.

On Moving Object Segmentation from Monocular Video with Transformers Moa-net: self-supervised motion segmentation

Reference 6

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

On Moving Object Segmentation from Monocular Video with Transformers The best of both worlds: Combining cnns and geometric constraints for hierarchical motion seg- mentation

Reference 7

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This paper cites Neural-guided ransac: Learning where to sample model hypotheses.

On Moving Object Segmentation from Monocular Video with Transformers Neural-guided ransac: Learning where to sample model hypotheses

Reference 8

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This paper cites Object segmentation by long term analysis of point trajectories.

On Moving Object Segmentation from Monocular Video with Transformers Object segmentation by long term analysis of point trajectories

Reference 9

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This paper cites A naturalistic open source movie for opti- cal flow evaluation.

On Moving Object Segmentation from Monocular Video with Transformers A naturalistic open source movie for opti- cal flow evaluation

Reference 10

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This paper cites Virtual KITTI 2.

On Moving Object Segmentation from Monocular Video with Transformers Virtual KITTI 2

Reference 11

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

On Moving Object Segmentation from Monocular Video with Transformers End-to- end object detection with transformers

Reference 12

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Observation 9b7f07e3-187b-4d48-af99-2b7bb02a8ce6 · outbound

This paper cites Mask2Former for Video Instance Segmentation.

On Moving Object Segmentation from Monocular Video with Transformers Mask2Former for Video Instance Segmentation

Reference 13

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Observation 92acb01c-87c2-47ed-89c1-575190c07513 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

On Moving Object Segmentation from Monocular Video with Transformers Masked-attention mask transformer for universal image segmentation

Reference 14

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Observation 62326d37-3af9-4914-a33e-bc3d0e322c3a · outbound

This paper cites Per- pixel classification is not all you need for semantic segmen- tation.

On Moving Object Segmentation from Monocular Video with Transformers Per- pixel classification is not all you need for semantic segmen- tation

Reference 15

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This paper cites Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion.

On Moving Object Segmentation from Monocular Video with Transformers Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion

Reference 16

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Observation 059c4a10-0f66-4db6-85b0-6abdd8af931b · outbound

This paper cites Robust estimation of a multi-layered motion representation.

On Moving Object Segmentation from Monocular Video with Transformers Robust estimation of a multi-layered motion representation

Reference 17

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This paper cites To- wards segmenting anything that moves.

On Moving Object Segmentation from Monocular Video with Transformers To- wards segmenting anything that moves

Reference 18

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This paper cites Fusion- seg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos.

On Moving Object Segmentation from Monocular Video with Transformers Fusion- seg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos

Reference 19

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Observation 787c6cff-e2c5-47ae-8250-6e1716dbbc41 · outbound

This paper cites Savi++: Towards end-to-end object-centric learning from real-world videos.

On Moving Object Segmentation from Monocular Video with Transformers Savi++: Towards end-to-end object-centric learning from real-world videos

Reference 20

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Observation b0f5018b-2d87-46b9-949b-65eeb4d2cef7 · outbound

This paper cites Detection free track- ing: Exploiting motion and topology for segmenting and tracking under entanglement.

On Moving Object Segmentation from Monocular Video with Transformers Detection free track- ing: Exploiting motion and topology for segmenting and tracking under entanglement

Reference 21

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Observation b206cd41-1254-4ec4-bc77-c6d52d6b5e38 · outbound

This paper cites Vision meets robotics: The kitti dataset.

On Moving Object Segmentation from Monocular Video with Transformers Vision meets robotics: The kitti dataset

Reference 22

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Observation 2304116d-a5a5-49d8-8840-6245210677c1 · outbound

This paper cites Separate visual pathways for perception and action.Trends in neurosciences, 15(1):20–25, 1992.

On Moving Object Segmentation from Monocular Video with Transformers Separate visual pathways for perception and action.Trends in neurosciences, 15(1):20–25, 1992

Reference 23

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This paper cites In defense of the eight-point algorithm.

On Moving Object Segmentation from Monocular Video with Transformers In defense of the eight-point algorithm

Reference 24

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This paper cites Mask r-cnn.

On Moving Object Segmentation from Monocular Video with Transformers Mask r-cnn

Reference 25

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This paper cites Deep residual learning for image recognition.

On Moving Object Segmentation from Monocular Video with Transformers Deep residual learning for image recognition

Reference 26

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Observation 8dc1c3ab-b247-4930-a03b-3c08efc866ce · outbound

This paper cites VITA: Video Instance Segmentation via Object Token Association.

On Moving Object Segmentation from Monocular Video with Transformers VITA: Video Instance Segmentation via Object Token Association

Reference 27

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Observation 73bd43a9-9bde-47a5-b048-833c3e79d9a8 · outbound

This paper cites Detect- ing and tracking multiple moving objects using temporal in- tegration.

On Moving Object Segmentation from Monocular Video with Transformers Detect- ing and tracking multiple moving objects using temporal in- tegration

Reference 28

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This paper cites Pixel Objectness.

On Moving Object Segmentation from Monocular Video with Transformers Pixel Objectness

Reference 29

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This paper cites Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns.

On Moving Object Segmentation from Monocular Video with Transformers Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

Reference 30

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This paper cites Segment Anything.

On Moving Object Segmentation from Monocular Video with Transformers Segment Anything

Reference 31

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This paper cites Ro- bust consistent video depth estimation.

On Moving Object Segmentation from Monocular Video with Transformers Ro- bust consistent video depth estimation

Reference 32

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This paper cites Betrayed by motion: Camouflaged object discovery via motion segmentation.

On Moving Object Segmentation from Monocular Video with Transformers Betrayed by motion: Camouflaged object discovery via motion segmentation

Reference 33

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This paper cites Microsoft coco: Common objects in context.

On Moving Object Segmentation from Monocular Video with Transformers Microsoft coco: Common objects in context

Reference 34

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This paper cites The emergence of objectness: Learning zero-shot segmentation from videos.

On Moving Object Segmentation from Monocular Video with Transformers The emergence of objectness: Learning zero-shot segmentation from videos

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This paper cites Prismer: A Vision-Language Model with Multi-Task Experts.

On Moving Object Segmentation from Monocular Video with Transformers Prismer: A Vision-Language Model with Multi-Task Experts

Reference 36

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On Moving Object Segmentation from Monocular Video with Transformers Robust Dynamic Radiance Fields

Reference 37

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On Moving Object Segmentation from Monocular Video with Transformers Decoupled Weight Decay Regularization

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This paper cites See more, know more: Unsuper- vised video object segmentation with co-attention siamese networks.

On Moving Object Segmentation from Monocular Video with Transformers See more, know more: Unsuper- vised video object segmentation with co-attention siamese networks

Reference 39

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Observation 731f145b-bc72-4022-99a1-7a87429f432c · outbound

This paper cites Learning rigidity in dynamic scenes with a moving camera for 3d motion field estimation.

On Moving Object Segmentation from Monocular Video with Transformers Learning rigidity in dynamic scenes with a moving camera for 3d motion field estimation

Reference 40

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This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

On Moving Object Segmentation from Monocular Video with Transformers A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 41

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Observation 326a60e8-cb7b-44f8-b508-aa56abee0f06 · outbound

This paper cites MODETR: Moving Object Detection with Transformers.

On Moving Object Segmentation from Monocular Video with Transformers MODETR: Moving Object Detection with Transformers

Reference 42

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Observation 453fb021-4299-47bf-8601-a6abdee06304 · outbound

This paper cites Attention bottlenecks for multimodal fusion.

On Moving Object Segmentation from Monocular Video with Transformers Attention bottlenecks for multimodal fusion

Reference 43

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This paper cites Monocular arbitrary moving object discovery and segmentation.

On Moving Object Segmentation from Monocular Video with Transformers Monocular arbitrary moving object discovery and segmentation

Reference 44

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Observation 667dd17e-e721-4451-a81a-22d5bfda6a1e · outbound

This paper cites Segmenta- tion of moving objects by long term video analysis.

On Moving Object Segmentation from Monocular Video with Transformers Segmenta- tion of moving objects by long term video analysis

Reference 45

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

On Moving Object Segmentation from Monocular Video with Transformers The 2017 DAVIS Challenge on Video Object Segmentation

Reference 46

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On Moving Object Segmentation from Monocular Video with Transformers Vi- sion transformers for dense prediction

Reference 47

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This paper cites Optical flow estima- tion using a spatial pyramid network.

On Moving Object Segmentation from Monocular Video with Transformers Optical flow estima- tion using a spatial pyramid network

Reference 48

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Observation ca6fcb5c-c782-40d5-8432-de05571f9a15 · outbound

This paper cites Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation.

On Moving Object Segmentation from Monocular Video with Transformers Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation

Reference 49

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On Moving Object Segmentation from Monocular Video with Transformers Imagenet large scale visual recognition challenge

Reference 50

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Observation d901064f-8e2b-487e-a558-5bbf7e3f5ac1 · outbound

This paper cites 3d geometry from planar parallax.

On Moving Object Segmentation from Monocular Video with Transformers 3d geometry from planar parallax

Reference 51

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This paper cites Motion segmentation and tracking using normalized cuts.

On Moving Object Segmentation from Monocular Video with Transformers Motion segmentation and tracking using normalized cuts

Reference 52

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Observation 49bb4a90-6334-4bf3-9182-c425433cc29c · outbound

This paper cites Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos.

On Moving Object Segmentation from Monocular Video with Transformers Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos

Reference 53

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

On Moving Object Segmentation from Monocular Video with Transformers Raft: Recurrent all-pairs field transforms for optical flow

Reference 54

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This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.

On Moving Object Segmentation from Monocular Video with Transformers Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Reference 55

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Observation 90f85192-4862-4dbc-a517-90124948900f · outbound

This paper cites Raft-3d: Scene flow using rigid- motion embeddings.

On Moving Object Segmentation from Monocular Video with Transformers Raft-3d: Scene flow using rigid- motion embeddings

Reference 56

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Observation 7ff902b3-a5e3-4566-a9b5-919402460958 · outbound

This paper cites Learning video object segmentation with visual memory.

On Moving Object Segmentation from Monocular Video with Transformers Learning video object segmentation with visual memory

Reference 57

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Observation 663cfe81-d924-40c1-9afb-de4a6e1a48d4 · outbound

This paper cites Geometric motion segmentation and model selection.

On Moving Object Segmentation from Monocular Video with Transformers Geometric motion segmentation and model selection

Reference 58

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Observation f795935e-965c-47a5-a8b9-770d546fc287 · outbound

This paper cites The problem of degeneracy in structure and motion recovery from uncalibrated image sequences.

On Moving Object Segmentation from Monocular Video with Transformers The problem of degeneracy in structure and motion recovery from uncalibrated image sequences

Reference 59

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Observation 87b559ba-e070-4cab-bab8-434ab81114ce · outbound

This paper cites Robust detection of degenerate configurations while estimat- ing the fundamental matrix.

On Moving Object Segmentation from Monocular Video with Transformers Robust detection of degenerate configurations while estimat- ing the fundamental matrix

Reference 60

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Observation c7c15914-55f3-412d-a7d3-ba8a23bcd663 · outbound

This paper cites A benchmark for the com- parison of 3-d motion segmentation algorithms.

On Moving Object Segmentation from Monocular Video with Transformers A benchmark for the com- parison of 3-d motion segmentation algorithms

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.789270Z

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Observation fb49ff0a-9e39-462e-8a6d-51f3567face7 · outbound

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On Moving Object Segmentation from Monocular Video with Transformers Video segmentation via object flow

Reference 62

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Observation 0955197d-352d-4cfb-9aac-b82b85f43431 · outbound

This paper cites Attention is all you need.

On Moving Object Segmentation from Monocular Video with Transformers Attention is all you need

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.759667Z

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This paper cites Motion segmentation with missing data using powerfactorization and gpca.

On Moving Object Segmentation from Monocular Video with Transformers Motion segmentation with missing data using powerfactorization and gpca

Reference 64

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This paper cites Optimal segmentation of dynamic scenes from two perspective views.

On Moving Object Segmentation from Monocular Video with Transformers Optimal segmentation of dynamic scenes from two perspective views

Reference 65

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This paper cites SfM-Net: Learning of Structure and Motion from Video.

On Moving Object Segmentation from Monocular Video with Transformers SfM-Net: Learning of Structure and Motion from Video

Reference 66

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On Moving Object Segmentation from Monocular Video with Transformers Opti- cal flow in mostly rigid scenes

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.714364Z

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This paper cites Object discovery in videos as foreground motion clustering.

On Moving Object Segmentation from Monocular Video with Transformers Object discovery in videos as foreground motion clustering

Reference 68

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This paper cites Segment- ing moving objects via an object-centric layered representa- tion.

On Moving Object Segmentation from Monocular Video with Transformers Segment- ing moving objects via an object-centric layered representa- tion

Reference 69

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Observation 2d832b65-e46a-4a46-9526-58ff39758aed · outbound

This paper cites Unifying Flow, Stereo and Depth Estimation.

On Moving Object Segmentation from Monocular Video with Transformers Unifying Flow, Stereo and Depth Estimation

Reference 70

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This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

On Moving Object Segmentation from Monocular Video with Transformers YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 71

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On Moving Object Segmentation from Monocular Video with Transformers 3d rigid mo- tion segmentation with mixed and unknown number of mod- els

Reference 72

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This paper cites A general framework for motion segmentation: Independent, articulated, rigid, non- rigid, degenerate and non-degenerate.

On Moving Object Segmentation from Monocular Video with Transformers A general framework for motion segmentation: Independent, articulated, rigid, non- rigid, degenerate and non-degenerate

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.656961Z

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Observation befbe4b6-6d95-4136-b4e9-c5d515a44f32 · outbound

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On Moving Object Segmentation from Monocular Video with Transformers Self-supervised video object segmentation by motion grouping

Reference 74

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On Moving Object Segmentation from Monocular Video with Transformers Upgrading optical flow to 3d scene flow through optical expansion

Reference 75

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On Moving Object Segmentation from Monocular Video with Transformers Learning to seg- ment rigid motions from two frames

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.619415Z

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This paper cites Video instance seg- mentation.

On Moving Object Segmentation from Monocular Video with Transformers Video instance seg- mentation

Reference 77

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Observation 46e297c2-0bcb-491e-9bbe-a09c8cd7770d · outbound

This paper cites Unsupervised moving object detection via contextual information separation.

On Moving Object Segmentation from Monocular Video with Transformers Unsupervised moving object detection via contextual information separation

Reference 78

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This paper cites Every pixel counts: Unsupervised geometry learn- ing with holistic 3d motion understanding.

On Moving Object Segmentation from Monocular Video with Transformers Every pixel counts: Unsupervised geometry learn- ing with holistic 3d motion understanding

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.579696Z

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Observation d7110c72-0b88-4274-ac0a-f8ee7351dd17 · outbound

This paper cites Detecting motion regions in the presence of a strong parallax from a moving camera by multiview geometric con- straints.

On Moving Object Segmentation from Monocular Video with Transformers Detecting motion regions in the presence of a strong parallax from a moving camera by multiview geometric con- straints

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.565463Z

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Observation 828cc112-0d98-4747-be92-204f526d0fb4 · outbound

This paper cites Consistent depth of moving objects in video.

On Moving Object Segmentation from Monocular Video with Transformers Consistent depth of moving objects in video

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.550890Z

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Observation 63d314c7-3787-4f0d-976d-934cf618654c · outbound

This paper cites Particlesfm: Exploiting dense point trajecto- ries for localizing moving cameras in the wild.

On Moving Object Segmentation from Monocular Video with Transformers Particlesfm: Exploiting dense point trajecto- ries for localizing moving cameras in the wild

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.536715Z

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This paper cites Motion-attentive transition for zero-shot video object segmentation.

On Moving Object Segmentation from Monocular Video with Transformers Motion-attentive transition for zero-shot video object segmentation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.522205Z

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Observation b2bafb5d-b805-4003-b65f-e31e1c95cfdf · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

On Moving Object Segmentation from Monocular Video with Transformers Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 84

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This paper cites Segment Everything Everywhere All at Once.

On Moving Object Segmentation from Monocular Video with Transformers Segment Everything Everywhere All at Once

Reference 85

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Observation 0cf664ad-289c-44fc-a78d-59a72743a2a5 · outbound

This paper cites Placement in the Literature There is a vast amount of related literature on segmen- tation, motion segmentation, moving object discovery and unsupervised feature learning.

On Moving Object Segmentation from Monocular Video with Transformers Placement in the Literature There is a vast amount of related literature on segmen- tation, motion segmentation, moving object discovery and unsupervised feature learning

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.508241Z

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Observation d9548249-f171-4abb-860e-a7f5cb05c98a · outbound

This paper cites Training Details We follow a similar training setup as [14].

On Moving Object Segmentation from Monocular Video with Transformers Training Details We follow a similar training setup as [14]

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:32:38.493872Z

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On Moving Object Segmentation from Monocular Video with Transformers Unresolved cited work

Reference 88

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Reference 89

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On Moving Object Segmentation from Monocular Video with Transformers Unresolved cited work

Reference 90

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Reference 91

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Reference 92

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Reference 93

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On Moving Object Segmentation from Monocular Video with Transformers Unresolved cited work

Reference 94

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Reference 95

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Reference 96

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On Moving Object Segmentation from Monocular Video with Transformers Unresolved cited work

Reference 97

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Reference 98

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Observation becb8f46-0376-42c5-a576-3c10e4a20a37 · outbound

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On Moving Object Segmentation from Monocular Video with Transformers Unresolved cited work

Reference 99

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On Moving Object Segmentation from Monocular Video with Transformers Costs BS / IS ✗

Reference 100

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Pith citing papers