Object Concepts Emerge from Motion | Paper Citation Record

Observation 5fd357de-3731-4840-bb5e-0aa24b0fd64b · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

Object Concepts Emerge from Motion Self-supervised learning from images with a joint-embedding predictive architecture

Reference 1

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Observation dc3d8099-e5cd-4c76-86d2-9818886a70de · outbound

This paper cites BEiT: BETR pre-training of image transformers.

Object Concepts Emerge from Motion BEiT: BETR pre-training of image transformers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:41.770579Z

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Observation 9b478194-a2be-470c-9f9e-40be4368986e · outbound

This paper cites Revisiting feature prediction for learning visual representations from video.

Object Concepts Emerge from Motion Revisiting feature prediction for learning visual representations from video

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:41.540832Z

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Observation dc252626-206f-42fb-9343-e6b1a23c1fe0 · outbound

This paper cites Unsupervised scale-consistent depth and ego-motion learning from monocular video.

Object Concepts Emerge from Motion Unsupervised scale-consistent depth and ego-motion learning from monocular video

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:41.355144Z

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Observation 2f8ad3a3-8f2d-4afa-ac96-247c37371926 · outbound

This paper cites MONet: Unsupervised Scene Decomposition and Representation.

Object Concepts Emerge from Motion MONet: Unsupervised Scene Decomposition and Representation

Reference 5

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Observation 41674d50-5a4a-4e80-88f8-edada8952d27 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Object Concepts Emerge from Motion nuscenes: A multimodal dataset for autonomous driving

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:41.140108Z

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Observation 74d62430-3f13-4972-a054-7722a8dab393 · outbound

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

Object Concepts Emerge from Motion Emerging properties in self-supervised vision transformers

Reference 7

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Observation 367d2663-6682-4574-8e60-9572d806d3dd · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Object Concepts Emerge from Motion A simple framework for contrastive learning of visual representations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:25.617462Z

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Observation ca831bed-ee46-4602-af1a-45dbc4998aa5 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Object Concepts Emerge from Motion Improved Baselines with Momentum Contrastive Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:25.660743Z

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Observation 987542f9-5d20-4580-a4df-e3f200263297 · outbound

This paper cites An empirical study of training self-supervised vision transformers.

Object Concepts Emerge from Motion An empirical study of training self-supervised vision transformers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:40.915105Z

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Observation 8c107250-60bc-4791-aa39-c279a28afb1b · outbound

This paper cites OpenMMLab’s pre-training toolbox and benchmark.

Object Concepts Emerge from Motion OpenMMLab’s pre-training toolbox and benchmark

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:40.745501Z

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Observation 1f827847-6e7f-4702-a208-5f1cce0cf65b · outbound

This paper cites Vision transformers need registers.

Object Concepts Emerge from Motion Vision transformers need registers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:40.545930Z

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Observation fb463561-fcb5-4078-b6e9-2564cc528622 · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

Object Concepts Emerge from Motion ImageNet: A large-scale hierarchical image database

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:25.848360Z

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Observation 182d59d3-822f-44dc-8dab-879747bc7c1a · outbound

This paper cites With a little help from my friends: Nearest-neighbor contrastive learning of visual representations.

Object Concepts Emerge from Motion With a little help from my friends: Nearest-neighbor contrastive learning of visual representations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:40.330063Z

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Observation 130a40f6-3018-45ce-9c0b-d42fcb09ea9b · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network.

Object Concepts Emerge from Motion Depth map prediction from a single image using a multi-scale deep network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:40.127745Z

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Observation cb2f33ba-6537-4fff-83d3-a2d553ddcdbd · outbound

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

Object Concepts Emerge from Motion Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:39.904187Z

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Observation 2ef800fa-9091-4d46-8aa0-cf14202f051d · outbound

This paper cites Ego4D: Around the world in 3,000 hours of egocentric video.

Object Concepts Emerge from Motion Ego4D: Around the world in 3,000 hours of egocentric video

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:26.048537Z

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Observation c348f0ff-0e14-4c36-a98e-0a3b59b18c23 · outbound

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

Object Concepts Emerge from Motion Multi-object representation learning with iterative variational inference

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:39.695669Z

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Observation 1453dc1b-d073-4fb8-913b-54b43d54dfbb · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Object Concepts Emerge from Motion Bootstrap your own latent-a new approach to self-supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:39.498278Z

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Observation b63f46ec-d330-4df1-b2f3-4dee58d6c1c1 · outbound

This paper cites Tan et al.

Object Concepts Emerge from Motion Tan et al

Reference 20

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Observation 9d61bc25-3162-4c50-818c-440470da75bb · outbound

This paper cites Deep residual learning for image recognition.

Object Concepts Emerge from Motion Deep residual learning for image recognition

Reference 21

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Observation 6c3f7287-38ea-4c0e-b515-4b2e0f83860c · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Object Concepts Emerge from Motion Momentum contrast for unsupervised visual representation learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:26.309810Z

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Observation f6b08049-a3e0-4e6f-8a0f-3146748cdcc3 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Object Concepts Emerge from Motion Masked autoencoders are scalable vision learners

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:26.387778Z

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Observation 09e66b67-0716-46a8-8cd1-dc50a777bb47 · outbound

This paper cites Development of perceptual completion originates in early infancy.

Object Concepts Emerge from Motion Development of perceptual completion originates in early infancy

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:39.271530Z

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Observation efb7751b-a93a-4629-9f94-4d9072972030 · outbound

This paper cites Discriminative clustering for image co-segmentation.

Object Concepts Emerge from Motion Discriminative clustering for image co-segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:39.099997Z

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Observation 9384502d-7bd8-4301-8a45-44e73897bda4 · outbound

This paper cites Multi-class cosegmentation.

Object Concepts Emerge from Motion Multi-class cosegmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:38.910704Z

Source-reported events for the cited work

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Observation f01fd727-cb17-403f-801d-073de1e6a5b1 · outbound

This paper cites Perception of object unity in young infants.Infant Behavior and Development, 11(2):161–180, 1983.

Object Concepts Emerge from Motion Perception of object unity in young infants.Infant Behavior and Development, 11(2):161–180, 1983

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:38.721723Z

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Observation 39d4670e-bed4-440b-8cc3-65324ed15106 · outbound

This paper cites Panoptic feature pyramid networks.

Object Concepts Emerge from Motion Panoptic feature pyramid networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:38.561060Z

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Observation 0b13f8de-d537-4522-a251-b8a0f0294a7a · outbound

This paper cites A new neural framework for visuospatial processing.Nature Reviews Neuroscience, 12(4):217–230, 2011.

Object Concepts Emerge from Motion A new neural framework for visuospatial processing.Nature Reviews Neuroscience, 12(4):217–230, 2011

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:38.336543Z

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Observation c72457b6-7742-449a-825b-e699bc331260 · outbound

This paper cites Segment and recognize anything at any granularity.

Object Concepts Emerge from Motion Segment and recognize anything at any granularity

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:38.137101Z

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Observation a3395514-81c3-4f90-abbd-7c1c1c3eb224 · outbound

This paper cites BEVFormer: learning bird’s-eye-view representation from LiDAR-camera via spatiotemporal transformers.

Object Concepts Emerge from Motion BEVFormer: learning bird’s-eye-view representation from LiDAR-camera via spatiotemporal transformers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:37.901881Z

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Observation 1b330a99-952b-41e5-a417-4677851be292 · outbound

This paper cites V A-DepthNet: A variational approach to single image depth prediction.

Object Concepts Emerge from Motion V A-DepthNet: A variational approach to single image depth prediction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:37.740810Z

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Observation 1c10159c-a77b-40b3-8246-b3c3ce8315a6 · outbound

This paper cites Fully sparse 3D occupancy prediction.

Object Concepts Emerge from Motion Fully sparse 3D occupancy prediction

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:27.228242Z

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Observation b361d8db-31cd-4ae9-9a13-2a22f523eb84 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Object Concepts Emerge from Motion Swin transformer: Hierarchical vision transformer using shifted windows

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:27.320898Z

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Observation c7162666-a6f9-4628-a487-d6296fb7958a · outbound

This paper cites Object-centric learning with slot attention.

Object Concepts Emerge from Motion Object-centric learning with slot attention

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:27.402700Z

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Observation 93be6318-245c-4d2f-a569-ed7dede62ad2 · outbound

This paper cites Decoupled weight decay regularization.

Object Concepts Emerge from Motion Decoupled weight decay regularization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:27.510348Z

Source-reported events for the cited work

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Observation 4a069e75-9087-424b-a238-72006426dccf · outbound

This paper cites Unsupervised Discovery of Object-Centric Neural Fields.

Object Concepts Emerge from Motion Unsupervised Discovery of Object-Centric Neural Fields

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:27.621968Z

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Observation 5dd5e13f-fbbf-4ac1-84c3-ebfcbe9f2daf · outbound

This paper cites an unresolved cited work.

Object Concepts Emerge from Motion Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:31:37.534968Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b30abedf-6f88-4f9c-a379-b930d45a8ea0 · outbound

This paper cites Object exploration and object knowledge in young infants: A view from developmental psychology.Cognition, Brain, and Consciousness, 2001.

Object Concepts Emerge from Motion Object exploration and object knowledge in young infants: A view from developmental psychology.Cognition, Brain, and Consciousness, 2001

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:37.299495Z

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Observation 0223579e-6e19-4af2-b1c3-b4514d2cc701 · outbound

This paper cites DINOv2: Learning robust visual features without supervision.TMLR, 2023.

Object Concepts Emerge from Motion DINOv2: Learning robust visual features without supervision.TMLR, 2023

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:37.101874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5731c95-059d-4853-8bcc-8c31c362b2da · outbound

This paper cites Open X-embodiment: Robotic learning datasets and RT-X models.

Object Concepts Emerge from Motion Open X-embodiment: Robotic learning datasets and RT-X models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:36.911664Z

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Observation 15267dab-a6a4-4e56-b035-1b4ae27bb243 · outbound

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

Object Concepts Emerge from Motion Pytorch: An imperative style, high-performance deep learning library

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:28.179885Z

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Observation 955c7340-0723-4556-a397-3d843f9d872e · outbound

This paper cites BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers.

Object Concepts Emerge from Motion BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:28.288089Z

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Observation 7256f0b5-9b90-43af-aae1-89a95a0585ec · outbound

This paper cites Learning transferable visual models from natural language supervision.

Object Concepts Emerge from Motion Learning transferable visual models from natural language supervision

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:28.384396Z

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Observation 5037b5c7-4e9a-43f3-a1b9-d3a46c9fbc6f · outbound

This paper cites NDDepth: Normal-distance assisted monocular depth estimation.

Object Concepts Emerge from Motion NDDepth: Normal-distance assisted monocular depth estimation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:36.729101Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fd24125-f097-4c22-8dcc-393a096c37d6 · outbound

This paper cites IEBins: Iterative elastic bins for monocular depth estimation.

Object Concepts Emerge from Motion IEBins: Iterative elastic bins for monocular depth estimation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:36.577751Z

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Observation f270a981-92e5-4ecf-8658-7fcb3f16325a · outbound

This paper cites VideoFlow: Exploiting temporal cues for multi-frame optical flow estimation.

Object Concepts Emerge from Motion VideoFlow: Exploiting temporal cues for multi-frame optical flow estimation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:36.444296Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6de36e87-8e12-4367-b9cc-f62b9f259266 · outbound

This paper cites Localizing objects with self-supervised transformers and no labels.

Object Concepts Emerge from Motion Localizing objects with self-supervised transformers and no labels

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:36.308055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49f39d0c-8684-4f13-a70e-45180f216b3c · outbound

This paper cites Locate: self-supervised object discovery via flow-guided graph-cut and bootstrapped self-training.

Object Concepts Emerge from Motion Locate: self-supervised object discovery via flow-guided graph-cut and bootstrapped self-training

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:36.151687Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 423b56ea-86e3-420f-973e-3e02bb38d5b5 · outbound

This paper cites Selective search for object recognition.IJCV, 104:154–171, 2013.

Object Concepts Emerge from Motion Selective search for object recognition.IJCV, 104:154–171, 2013

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:36.002078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 415edad0-0c63-4217-86d2-652538c6a744 · outbound

This paper cites Two cortical visual systems.Analysis of Visual Behavior, 1982.

Object Concepts Emerge from Motion Two cortical visual systems.Analysis of Visual Behavior, 1982

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:35.855718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c989a00-2d3c-4693-a7a4-91c1859f5425 · outbound

This paper cites Object cosegmentation.

Object Concepts Emerge from Motion Object cosegmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:35.687583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b967e307-cdea-4207-82d2-8c51ec60c8c9 · outbound

This paper cites Unsupervised image matching and object discovery as optimization.

Object Concepts Emerge from Motion Unsupervised image matching and object discovery as optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:35.469892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 32692875-99c1-402e-8568-ee4243526bc6 · outbound

This paper cites Large-scale unsupervised object discovery.

Object Concepts Emerge from Motion Large-scale unsupervised object discovery

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:35.276939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation afac61fc-ddc4-4291-9f78-3d238a9f54a3 · outbound

This paper cites DCDepth: Progressive monocular depth estimation in discrete cosine domain.

Object Concepts Emerge from Motion DCDepth: Progressive monocular depth estimation in discrete cosine domain

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:35.032382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31f7f0cf-56ce-4c84-a849-b2b93a012987 · outbound

This paper cites Image as a foreign language: BEiT pretraining for vision and vision-language tasks.

Object Concepts Emerge from Motion Image as a foreign language: BEiT pretraining for vision and vision-language tasks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:34.808549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5eaa2410-9f72-413f-8eff-8f9dad482392 · outbound

This paper cites Self- supervised transformers for unsupervised object discovery using normalized cut.

Object Concepts Emerge from Motion Self- supervised transformers for unsupervised object discovery using normalized cut

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:34.540007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b457c8d-fac7-4b1e-9c77-e103d6702bee · outbound

This paper cites TokenCut: Segmenting objects in images and videos with self-supervised transformer and normalized cut.TPAMI, 45(12):15790–15801, 2023.

Object Concepts Emerge from Motion TokenCut: Segmenting objects in images and videos with self-supervised transformer and normalized cut.TPAMI, 45(12):15790–15801, 2023

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:34.244426Z

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Observation 88705376-2756-4163-ab9a-541f581f74ad · outbound

This paper cites 4D unsupervised object discovery.

Object Concepts Emerge from Motion 4D unsupervised object discovery

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:33.933268Z

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Observation 7bb5eaf4-9626-479b-995f-d229f2559e09 · outbound

This paper cites Unsupervised object discovery and co-localization by deep descriptor transformation.PR, 88:113–126, 2019.

Object Concepts Emerge from Motion Unsupervised object discovery and co-localization by deep descriptor transformation.PR, 88:113–126, 2019

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:33.684195Z

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Observation 3dd73b52-c58f-4a10-a197-8a853dadcf1f · outbound

This paper cites CroCo: Self-supervised pre-training for 3D vision tasks by cross-view completion.

Object Concepts Emerge from Motion CroCo: Self-supervised pre-training for 3D vision tasks by cross-view completion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:33.374955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df8c767b-2e57-486b-86f0-e3296d6309bf · outbound

This paper cites SimMIM: A simple framework for masked image modeling.

Object Concepts Emerge from Motion SimMIM: A simple framework for masked image modeling

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:33.108156Z

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Observation fe1cc001-7aca-418f-9289-aba28b6da36f · outbound

This paper cites Revealing the dark secrets of masked image modeling.

Object Concepts Emerge from Motion Revealing the dark secrets of masked image modeling

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:32.925583Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7f8c352-7a2d-4d8b-836e-82cb678bf4b0 · outbound

This paper cites BEVFormer v2: Adapting modern image backbones to bird’s-eye- view recognition via perspective supervision.

Object Concepts Emerge from Motion BEVFormer v2: Adapting modern image backbones to bird’s-eye- view recognition via perspective supervision

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:32.646465Z

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Observation 75038a03-2c63-4b52-bc6e-9734f133308e · outbound

This paper cites Generalized predictive model for autonomous driving.

Object Concepts Emerge from Motion Generalized predictive model for autonomous driving

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:32.390655Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation faf216ae-0164-46dd-840a-baa21141f8be · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Object Concepts Emerge from Motion Depth anything: Unleashing the power of large-scale unlabeled data

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:30.641934Z

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Unavailable: canonical work link unavailable.

Observation bb1029cd-2a10-483f-a3fb-b382fcaca729 · outbound

This paper cites Depth anything v2.

Object Concepts Emerge from Motion Depth anything v2

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:30.722512Z

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Unavailable: canonical work link unavailable.

Observation 95c2c685-17f5-447d-b345-269e93f1073c · outbound

This paper cites Decoupled contrastive learning.

Object Concepts Emerge from Motion Decoupled contrastive learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:32.166851Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41f6c796-563e-4b7c-9f7a-e7588c7f03e3 · outbound

This paper cites Neural window fully-connected CRFs for monocular depth estimation.

Object Concepts Emerge from Motion Neural window fully-connected CRFs for monocular depth estimation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:31.985073Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f179519-cdaa-46ef-8ad0-accf16c48139 · outbound

This paper cites HEAP: unsupervised object discovery and localization with contrastive grouping.

Object Concepts Emerge from Motion HEAP: unsupervised object discovery and localization with contrastive grouping

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:31.817057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c0d6bcf-db85-4edd-b1d0-dd3da009ce5c · outbound

This paper cites Unsupervised learning of depth and ego-motion from video.

Object Concepts Emerge from Motion Unsupervised learning of depth and ego-motion from video

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:31.672593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1862ab6-e4e9-46f3-88c7-a4a386017214 · outbound

This paper cites Edge boxes: Locating object proposals from edges.

Object Concepts Emerge from Motion Edge boxes: Locating object proposals from edges

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:31:31.478858Z

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