Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery | Paper Citation Record

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This paper cites write newline.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery write newline

Reference 1

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This paper cites Slot-guided adaptation of pre-trained diffusion models for object-centric learning and compositional generation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Slot-guided adaptation of pre-trained diffusion models for object-centric learning and compositional generation

Reference 2

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Observation 65207a58-3e2d-4f16-a539-72387dabb2a8 · outbound

This paper cites An overview of optical flow-based approaches for motion segmentation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery An overview of optical flow-based approaches for motion segmentation

Reference 3

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Observation 818451d0-aae1-45f1-abbd-39c2ac3265b2 · outbound

This paper cites o rkay Aydemir, Weidi Xie, and Fatma G \.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery o rkay Aydemir, Weidi Xie, and Fatma G \

Reference 4

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This paper cites Discovering objects that can move.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Discovering objects that can move

Reference 5

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This paper cites Object discovery from motion-guided tokens.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Object discovery from motion-guided tokens

Reference 6

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Observation ee1354dc-fa46-49ce-81ea-662d8030d191 · outbound

This paper cites Black and David J.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Black and David J

Reference 7

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This paper cites YOLACT : R eal-time instance segmentation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery YOLACT : R eal-time instance segmentation

Reference 8

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Observation 3ff9bb75-f43f-4d4f-9bf8-c148c468b0a2 · outbound

This paper cites o dermann, David Br \.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery o dermann, David Br \

Reference 9

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Observation 39cbfda9-99d6-4f94-8b5e-b811dab0e077 · outbound

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

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Object segmentation by long term analysis of point trajectories

Reference 10

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Observation af3a67f0-1265-4c9b-9770-9db2e0be4d3e · outbound

This paper cites MONet: Unsupervised Scene Decomposition and Representation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery MONet: Unsupervised Scene Decomposition and Representation

Reference 11

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Observation ebb33809-d962-4cdc-9f15-2237ff5674da · outbound

This paper cites Cascade R-CNN : H igh quality object detection and instance segmentation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Cascade R-CNN : H igh quality object detection and instance segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:11.178389Z

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This paper cites an unresolved cited work.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Unresolved cited work

Reference 13

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Observation 8c87f7be-24db-4203-9051-cb59dac6d1cc · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Emerging properties in self-supervised vision transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T16:42:09.593287Z

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Observation cf1a3cb7-0bb7-4d9c-a83b-52ab960e8246 · outbound

This paper cites Guess what moves: U nsupervised video and image segmentation by anticipating motion.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Guess what moves: U nsupervised video and image segmentation by anticipating motion

Reference 15

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Observation cab7e6ef-b6ce-427e-9898-2ffa564d3bb6 · outbound

This paper cites The C ityscapes dataset for semantic urban scene understanding.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery The C ityscapes dataset for semantic urban scene understanding

Reference 16

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Observation 740623a6-8f0f-428d-9297-0965c0697f83 · outbound

This paper cites Motion competition: A variational approach to piecewise parametric motion segmentation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Motion competition: A variational approach to piecewise parametric motion segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:11.090233Z

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Observation ea10d2c4-5a0f-4520-8f7b-7dae5dc67086 · outbound

This paper cites Towards segmenting anything that moves.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Towards segmenting anything that moves

Reference 18

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Observation 9f16c4d3-e644-41ad-bf6c-b31691c46464 · outbound

This paper cites A simple and efficient connected components labeling algorithm.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery A simple and efficient connected components labeling algorithm

Reference 19

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Observation 74b5cc25-3bd0-4575-8f15-1fd78b2e0d59 · outbound

This paper cites Mozer, and Thomas Kipf.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Mozer, and Thomas Kipf

Reference 20

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Observation a8845471-1062-4c5d-afbe-b2e2967e1233 · outbound

This paper cites Genesis-v2: Inferring unordered object representations without iterative refinement.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Genesis-v2: Inferring unordered object representations without iterative refinement

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.995265Z

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Observation 458d1e78-2a4e-4c48-a701-a91f13e72aea · outbound

This paper cites Kosiorek, Oiwi Parker Jones, and Ingmar Posner.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Kosiorek, Oiwi Parker Jones, and Ingmar Posner

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.978039Z

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Observation 91831ebc-e07a-4a20-b5fa-d279d3157cce · outbound

This paper cites Obstacle detection by evaluation of optical flow fields from image sequences.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Obstacle detection by evaluation of optical flow fields from image sequences

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.958624Z

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Observation baa808e6-4522-4f9c-9d0e-290641dc8b25 · outbound

This paper cites an unresolved cited work.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:42:10.943009Z

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Observation 9a2cecd4-ad96-441f-b37b-361be2b23fc6 · outbound

This paper cites Vision meets robotics: T he KITTI dataset.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Vision meets robotics: T he KITTI dataset

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.927735Z

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Observation d7111ae7-7214-4e2d-a0c2-21ebedae8832 · outbound

This paper cites Multi-object representation learning with iterative variational inference.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Multi-object representation learning with iterative variational inference

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.913086Z

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Observation 0d2f10af-772b-4cec-9e0c-cc46e3bebbd1 · outbound

This paper cites Fuchs, Ingmar Posner, and Andrea Vedaldi.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Fuchs, Ingmar Posner, and Andrea Vedaldi

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.894019Z

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Observation d16d1f42-78ae-491a-94f6-40977bbc7696 · outbound

This paper cites Scene-centric unsupervised panoptic segmentation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Scene-centric unsupervised panoptic segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.876513Z

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Observation e5c4d05b-522e-4260-831b-64d7dd5245dc · outbound

This paper cites Girshick.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Girshick

Reference 29

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Observation 79e4ff48-57c7-4a5e-8b88-b5363ec1e737 · outbound

This paper cites Object-centric slot diffusion.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Object-centric slot diffusion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.843750Z

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Observation 56c94060-dcf3-4fa9-a52c-a5899535f73a · outbound

This paper cites Scalor: Generative world models with scalable object representations.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Scalor: Generative world models with scalable object representations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.828680Z

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Observation e5c0cecb-ceeb-47c1-8bfe-6691e92a2f1f · outbound

This paper cites SCALOR: G enerative world models with scalable object representations.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery SCALOR: G enerative world models with scalable object representations

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.809157Z

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Observation a924023e-dc81-4c3e-9473-91586d55d1ae · outbound

This paper cites Lawrence Zitnick, and Ross Girshick.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Lawrence Zitnick, and Ross Girshick

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.791004Z

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Observation a557f2c6-b3a0-4cc6-8846-c1dfbbccb265 · outbound

This paper cites SPOT : S elf-training with patch-order permutation for object-centric learning with autoregressive transformers.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery SPOT : S elf-training with patch-order permutation for object-centric learning with autoregressive transformers

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.771674Z

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Observation 3f64568b-a956-4305-a0a2-3281ff222ae8 · outbound

This paper cites The background also matters: B ackground-aware motion-guided objects discovery.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery The background also matters: B ackground-aware motion-guided objects discovery

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.756726Z

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Observation 7ee5b3a5-522f-45da-8372-fb95bdff1bfa · outbound

This paper cites DIOD: S elf-distillation meets object discovery.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery DIOD: S elf-distillation meets object discovery

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.741792Z

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Observation 8e4f5926-aba5-4b7c-bad0-c00bcef146f1 · outbound

This paper cites U nsupervised M ulti-object S egmentation by P redicting P robable M otion P atterns.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery U nsupervised M ulti-object S egmentation by P redicting P robable M otion P atterns

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.724371Z

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Observation ca916e64-3dad-414d-9143-88913a556b55 · outbound

This paper cites Clevrtex: A texture-rich benchmark for unsupervised multi object segmentation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Clevrtex: A texture-rich benchmark for unsupervised multi object segmentation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.711150Z

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Observation ddeeff86-9d3d-40ff-a6b1-f4b50edacd5e · outbound

This paper cites Kingma and Jimmy Ba.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Kingma and Jimmy Ba

Reference 39

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This paper cites Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, and Klaus Greff.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, and Klaus Greff

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.687941Z

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Observation 68dc151f-423c-499d-8d7a-89f7d8536975 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll \'a r, and Ross Girshick.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Berg, Wan-Yen Lo, Piotr Doll \'a r, and Ross Girshick

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.671749Z

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Observation d39b09ec-8deb-4ab6-9b27-d64ff75ce909 · outbound

This paper cites Perception: An introduction to the gestalt-theorie.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Perception: An introduction to the gestalt-theorie

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.658387Z

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Observation e4e3ae28-f96a-4da3-bf0c-2360a9dc4b95 · outbound

This paper cites an unresolved cited work.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Unresolved cited work

Reference 43

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Observation 7610a8f6-0fec-4b86-bbb8-c468f5240219 · outbound

This paper cites Learning object-centric representations of multi-object scenes from multiple views.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Learning object-centric representations of multi-object scenes from multiple views

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.628277Z

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Observation 96e637b4-d7e8-46e5-8d94-269e34c0829e · outbound

This paper cites Improving generative imagination in object-centric world models.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Improving generative imagination in object-centric world models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.607324Z

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Observation 91b2650e-ecd0-43ec-a5d7-6ff5c74fa76f · outbound

This paper cites Space: Unsupervised object-oriented scene representation via spatial attention and decomposition.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Space: Unsupervised object-oriented scene representation via spatial attention and decomposition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.591295Z

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Observation cf79f789-d124-448f-844a-1b5ff718a4e6 · outbound

This paper cites Object-centric learning with slot attention.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Object-centric learning with slot attention

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.575384Z

Source-reported events for the cited work

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Observation 8dbcd784-e04e-4fd4-a46f-3220cc452104 · outbound

This paper cites Image segmentation using deep learning: A survey.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Image segmentation using deep learning: A survey

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.552773Z

Source-reported events for the cited work

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Observation 80597e11-0a7b-42eb-aec1-c2e43e225ad5 · outbound

This paper cites Unsupervised layered image decomposition into object prototypes.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Unsupervised layered image decomposition into object prototypes

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.536401Z

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Observation 431920f1-0187-49d1-9be9-7831568b76c3 · outbound

This paper cites Higher order motion models and spectral clustering.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Higher order motion models and spectral clustering

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.518553Z

Source-reported events for the cited work

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Observation 9ab5e4e3-0ca0-4482-bf58-ad7a4e26859a · outbound

This paper cites an unresolved cited work.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:42:10.498921Z

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Observation 764c848a-36fc-4352-bf53-5feef3b703a2 · outbound

This paper cites PyTorch : An imperative style, high-performance deep learning library.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery PyTorch : An imperative style, high-performance deep learning library

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.479395Z

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Observation eaf72a85-6dff-411c-86d1-2c256c0d9a65 · outbound

This paper cites Barron, Ferran Marqu \'e s, and Jitendra Malik.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Barron, Ferran Marqu \'e s, and Jitendra Malik

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.465156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d695226-595c-4b89-bfa9-4343617a4205 · outbound

This paper cites Bernstein, Alexander C.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Bernstein, Alexander C

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.449174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c625e84-16de-4191-8086-97dc9312c53c · outbound

This paper cites Multi-object discovery by low-dimensional object motion.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Multi-object discovery by low-dimensional object motion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.432191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a97c8bce-dec2-4913-9ba9-89714d736447 · outbound

This paper cites an unresolved cited work.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:42:10.415937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27da2a58-4896-4f39-a25f-00ec0d97d1f6 · outbound

This paper cites Bridging the gap to real-world object-centric learning.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Bridging the gap to real-world object-centric learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.400793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70eec0e7-5988-441c-b038-36a6f32a77f2 · outbound

This paper cites Simple unsupervised object-centric learning for complex and naturalistic videos.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Simple unsupervised object-centric learning for complex and naturalistic videos

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.379162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38d1114f-68e8-4fbb-834e-69106e383e6b · outbound

This paper cites GLASS: Guided Latent Slot Diffusion for Object-Centric Learning.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery GLASS: Guided Latent Slot Diffusion for Object-Centric Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T16:42:09.832279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d369dc6-4b3d-4678-8abf-907f927b45a7 · outbound

This paper cites SF2SE3: C lustering scene flow into SE(3) -motions via proposal and selection.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery SF2SE3: C lustering scene flow into SE(3) -motions via proposal and selection

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.363445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a0b9d47-7ca0-4336-8661-3ba6e1f90bce · outbound

This paper cites SMURF : S elf-teaching multi-frame unsupervised RAFT with full-image warping.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery SMURF : S elf-teaching multi-frame unsupervised RAFT with full-image warping

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.347551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d46c6b3-444d-4c35-9122-4f5f2fe17cbb · outbound

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

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery RAFT : R ecurrent all-pairs field transforms for optical flow

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T16:42:09.850031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c336bee4-f7bb-49f9-9b72-882e348c69e8 · outbound

This paper cites Thompson, Kathleen M Mutch, and Valdis A Berzins.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Thompson, Kathleen M Mutch, and Valdis A Berzins

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.317883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ec26d4e-234b-4221-b1a6-151baffbf595 · outbound

This paper cites Geometric motion segmentation and model selection.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Geometric motion segmentation and model selection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.303057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 431b4ee9-0c00-4164-95ff-8bc210021e04 · outbound

This paper cites Gomez, ukasz Kaiser, and Illia Polosukhin.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Gomez, ukasz Kaiser, and Illia Polosukhin

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.289026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3696fbc2-7814-48bb-8997-091ed9fb24ff · outbound

This paper cites Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T16:42:09.870430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0fd0331-2e72-42b5-9345-40706789dc82 · outbound

This paper cites Yu, and Ishan Misra.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Yu, and Ishan Misra

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.274987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3c83eaa-703b-44a6-b127-2301f7c83e7b · outbound

This paper cites Videocutler: Surprisingly simple unsupervised video instance segmentation.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Videocutler: Surprisingly simple unsupervised video instance segmentation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.260378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15b9004b-c994-4372-b6d7-dffbf0035655 · outbound

This paper cites Crowley, and Dominique Vaufreydaz.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Crowley, and Dominique Vaufreydaz

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.242112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ad42ec1-1798-41dc-9c61-0e6862435e44 · outbound

This paper cites Experimentelle studien \"u ber das sehen von bewegung.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Experimentelle studien \"u ber das sehen von bewegung

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.222710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 117eccda-97d6-493e-b8ce-0bd095925dc5 · outbound

This paper cites SlotDiffusion : O bject-centric generative modeling with diffusion models.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery SlotDiffusion : O bject-centric generative modeling with diffusion models

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.208869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57f11ae4-f899-4baf-b5c8-a142ebbd3a1a · outbound

This paper cites Slotformer: Unsupervised visual dynamics simulation with object-centric models.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Slotformer: Unsupervised visual dynamics simulation with object-centric models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.193665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d219e8ef-3e20-4c1f-bb4f-58f9f1c2b770 · outbound

This paper cites Moving object segmentation: A ll you need is SAM (and flow).

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Moving object segmentation: A ll you need is SAM (and flow)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.174858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbef7e73-a41d-4b94-be92-4d610645604f · outbound

This paper cites Motion segmentation: A review.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Motion segmentation: A review

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.154383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd774409-3b16-4de7-bacf-e2063b391e10 · outbound

This paper cites Segmentation of moving objects in image sequence: A review.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Segmentation of moving objects in image sequence: A review

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.132919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9739d1c5-3db8-4ae7-beaa-cb79c79da873 · outbound

This paper cites Image Segmentation in Foundation Model Era: A Survey.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Image Segmentation in Foundation Model Era: A Survey

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T16:42:09.917041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda876c6-612a-47cd-89ab-1c94e16db638 · outbound

This paper cites Sensitivity of Slot-Based Object-Centric Models to their Number of Slots.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Sensitivity of Slot-Based Object-Centric Models to their Number of Slots

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T16:42:09.924194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 062742b4-d52f-4855-b00d-1a82ee6661b8 · outbound

This paper cites https://paralleldomain.com/.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery https://paralleldomain.com/

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.115151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e475713-c55c-43c7-bf25-8dd466f73761 · outbound

This paper cites Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.098724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2299413b-0572-4563-8a77-e734bc31a80d · outbound

This paper cites Object-centric learning for real-world videos by predicting temporal feature similarities.

Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery Object-centric learning for real-world videos by predicting temporal feature similarities

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:42:10.078745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers