Video Decomposition Prior: A Methodology to Decompose Videos into Layers | Paper Citation Record

Observation 32877c73-e7cd-4491-ab74-b65a20cfb7b7 · outbound

This paper cites zero-shot.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers zero-shot

Reference 1

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Observation e7656846-21f1-40da-807c-2d7baa84a66a · outbound

This paper cites Blind dehazing using internal patch recurrence.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Blind dehazing using internal patch recurrence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.375364Z

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Observation bbd10b6b-55b3-4b2b-913c-8c20368829b4 · outbound

This paper cites Text2live: Text-driven layered image and video editing.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Text2live: Text-driven layered image and video editing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.357869Z

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Observation 156ed1bd-8533-4db5-b9c9-aebbc62b023e · outbound

This paper cites Blind super-resolution kernel estimation using an internal-gan.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Blind super-resolution kernel estimation using an internal-gan

Reference 4

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Observation 0af0a53b-e697-4017-8d4b-a19d3374607b · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers It’s moving! a probabilistic model for causal motion segmentation in moving camera videos

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.325783Z

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Observation 8f8a5102-9338-4e6c-8286-19a0962145db · outbound

This paper cites Hierarchical video prediction using relational layouts for human-object interactions.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Hierarchical video prediction using relational layouts for human-object interactions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.309747Z

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Observation 70552202-f918-46be-9a39-b01ff040458c · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Object segmentation by long term analysis of point trajectories

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.293533Z

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Observation 896be7e9-be84-44ae-b367-092df1a2c1aa · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Quo vadis, action recognition? a new model and the kinetics dataset

Reference 8

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Observation ed08b565-6444-4987-aca4-ef524f0d0ae6 · outbound

This paper cites Unsupervised learning from video to detect foreground objects in single images.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Unsupervised learning from video to detect foreground objects in single images

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.266509Z

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Observation 28785012-40fa-4de2-8468-971fae2f3324 · outbound

This paper cites an unresolved cited work.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:15:41.251323Z

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Observation 2bf5f7c7-6b44-4878-a625-0de4400ea318 · outbound

This paper cites Multi-scale boosted dehazing network with dense feature fusion.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Multi-scale boosted dehazing network with dense feature fusion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.235486Z

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Observation 7106a4b7-b322-454d-b0ad-99c1216e2425 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:39.814576Z

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Observation b75046f5-ee1a-4bd7-85fb-8e94784fa502 · outbound

This paper cites EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:15:40.378724Z

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Observation a365b372-8e5c-4041-9fef-44d7974eeede · outbound

This paper cites Video segmentation by non-local consensus voting.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Video segmentation by non-local consensus voting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.218210Z

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Observation 45566b25-c7ef-4af1-a576-9ee63344202d · outbound

This paper cites Single image dehazing.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Single image dehazing

Reference 15

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Observation cf5b529c-04ef-4949-a327-7ebb73f2f178 · outbound

This paper cites Geodict: an integrated gazetteer.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Geodict: an integrated gazetteer

Reference 16

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Observation a35e230e-cdf7-452d-8199-3b62f4bd1be1 · outbound

This paper cites double-dip.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers double-dip

Reference 17

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Observation 3670ace0-b61e-4353-8460-5bd81d25a0d1 · outbound

This paper cites Single image haze removal using dark channel prior.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Single image haze removal using dark channel prior

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.153999Z

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Observation a9b83809-ecda-4e80-83bb-9f1ec2c6f1fd · outbound

This paper cites Mask r-cnn.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Mask r-cnn

Reference 19

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Observation 8dd30da3-c71f-4946-8da0-e33c1ba390b5 · outbound

This paper cites Robust interpolation of correspondences for large displacement optical flow.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Robust interpolation of correspondences for large displacement optical flow

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.129318Z

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Observation b3cb1cae-1a72-4b31-a6ee-8285aac33cce · outbound

This paper cites Layered neural atlases for consistent video editing.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Layered neural atlases for consistent video editing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.113740Z

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Observation b2dc7c58-46a9-4f85-9657-56d9f13c8628 · outbound

This paper cites Motion trajectory segmentation via minimum cost multicuts.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Motion trajectory segmentation via minimum cost multicuts

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.098037Z

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Observation 243fb34a-2b0f-4204-a639-5ddac3cd396d · outbound

This paper cites Primary object segmentation in videos based on region augmentation and reduction.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Primary object segmentation in videos based on region augmentation and reduction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.080622Z

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Observation 4cf3eb4b-e1ce-4c34-a32e-3c99f5dbf83b · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Imagenet classification with deep convolutional neural networks

Reference 24

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Observation 6c9fe5b7-df05-4a79-810f-a32721c34513 · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Betrayed by motion: Camouflaged object discovery via motion segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.054480Z

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Observation fa41405d-f248-4fe7-8a62-0f67868cee52 · outbound

This paper cites Learning to enhance low-light image via zero-reference deep curve estimation.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Learning to enhance low-light image via zero-reference deep curve estimation

Reference 26

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Observation 3edbb578-b988-42db-966e-7ffd3cd5fbef · outbound

This paper cites Layered Neural Rendering for Retiming People in Video.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Layered Neural Rendering for Retiming People in Video

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:39.889513Z

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Observation aff5fa83-7fb1-4570-aeeb-7cb6557f9f75 · outbound

This paper cites Omnimatte: Associating objects and their effects in video.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Omnimatte: Associating objects and their effects in video

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.037980Z

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Observation 2e0e7997-4aac-4f36-a0ec-98752112cf52 · outbound

This paper cites Zero-shot video object segmentation with co-attention siamese networks.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Zero-shot video object segmentation with co-attention siamese networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:41.023336Z

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Observation 14016fb2-a2b6-4d82-8b85-3d761bcba46f · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 30

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Observation 2001b9eb-3998-441f-b711-4fcea8270cab · outbound

This paper cites Narasimhan and S.K.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Narasimhan and S.K

Reference 31

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Observation b4c263ab-a446-4462-bc35-4fa194578446 · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Object segmentation in video: a hierarchical variational approach for turning point trajectories into dense regions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.997961Z

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Observation 98400f72-ae0e-46f4-80f4-1cb30ea3d865 · outbound

This paper cites Fast object segmentation in unconstrained video.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Fast object segmentation in unconstrained video

Reference 33

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Observation 0daef18c-a14c-48fc-b892-d1466498243d · outbound

This paper cites Swapping autoencoder for deep image manipulation.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Swapping autoencoder for deep image manipulation

Reference 34

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Observation 701a6a3f-21f5-432f-8114-d14c5ebb6b64 · outbound

This paper cites Perazzi, J.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Perazzi, J

Reference 35

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Observation 48b94365-fb2d-44d6-ac49-036567bb0a47 · outbound

This paper cites Across scales and across dimensions: Temporal super-resolution using deep internal learning.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Across scales and across dimensions: Temporal super-resolution using deep internal learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.938255Z

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Observation 4942336a-0de1-4149-845a-10dcb3b9ec75 · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.924079Z

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Observation f60c27d8-3f07-4ef7-96c2-3ea7c72f9b59 · outbound

This paper cites Valorcarn-tetis: Terms extracted with biotex.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Valorcarn-tetis: Terms extracted with biotex

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.909160Z

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Observation f5b28495-5674-4711-9760-a309b978b3a4 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers U-net: Convolutional networks for biomedical image segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.893893Z

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Observation 03eb457a-7e18-4c8b-a770-c8e668f59285 · outbound

This paper cites Recognizing actions using object states.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Recognizing actions using object states

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.877463Z

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Observation 92016542-7570-4ec2-8ad0-64b36a6da7c0 · outbound

This paper cites Layered depth images.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Layered depth images

Reference 41

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Observation 2d375e0a-8c93-400e-b0ca-832395779dcf · outbound

This paper cites Increasing space-time resolution in video.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Increasing space-time resolution in video

Reference 42

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Observation a371e3e1-262d-499f-a030-9239c218e88d · outbound

This paper cites Space-time super-resolution.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Space-time super-resolution

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.828178Z

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Observation 89ac225a-5e87-4df6-a8aa-7f5a62b2324a · outbound

This paper cites Diverse Video Generation.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Diverse Video Generation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.813024Z

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Observation 812530e0-1d71-4095-ae31-a3a3f117626b · outbound

This paper cites Advance Video Modeling Techniques for Video Generation and Enhancement Tasks.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Advance Video Modeling Techniques for Video Generation and Enhancement Tasks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.797416Z

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Observation b572763d-438d-4beb-aee0-faceb9171948 · outbound

This paper cites Diverse Video Generation using a Gaussian Process Trigger.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Diverse Video Generation using a Gaussian Process Trigger

Reference 46

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Observation cf8d80ad-863d-4366-838a-16ec0517ca6e · outbound

This paper cites Video prediction by modeling videos as continuous multi-dimensional processes.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Video prediction by modeling videos as continuous multi-dimensional processes

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.780972Z

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Observation 252eaef5-8fb9-4cad-be86-508f2af4bdf2 · outbound

This paper cites Video dynamics prior: An internal learning approach for robust video enhancements.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Video dynamics prior: An internal learning approach for robust video enhancements

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.764158Z

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Observation e04313b1-00a4-4024-b137-1ac758e9ec13 · outbound

This paper cites Video decomposition prior: Editing videos layer by layer.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Video decomposition prior: Editing videos layer by layer

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:40.008381Z

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Observation 42c220c0-5a5c-429f-bfb3-ae9b389470c1 · outbound

This paper cites Object level grouping for video shots.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Object level grouping for video shots

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.734779Z

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Observation 7403dc18-f058-4826-8356-02d7c255a937 · outbound

This paper cites Pyramid dilated deeper convlstm for video salient object detection.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Pyramid dilated deeper convlstm for video salient object detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.716092Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7609ccae-c872-4bea-8c8a-e4ead7691822 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.700057Z

Source-reported events for the cited work

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Observation ea99c74e-3ac0-4839-8f86-878f89729816 · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Object segmentation by long term analysis of point trajectories

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.684064Z

Source-reported events for the cited work

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Observation dd0bf0f5-efdf-4ca1-bee8-cb73348749fd · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Raft: Recurrent all-pairs field transforms for optical flow

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.667050Z

Source-reported events for the cited work

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Observation f0ddaafc-b7c5-467d-89b2-941492e9912d · outbound

This paper cites Learning motion patterns in videos.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Learning motion patterns in videos

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.650154Z

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Observation 3a153bdd-1adf-42ac-a702-686422af46fb · outbound

This paper cites Deep image prior.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Deep image prior

Reference 56

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Observation b96891b0-0eb0-4cf3-8845-3b6fb1f28769 · outbound

This paper cites Representing moving images with layers.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Representing moving images with layers

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.623647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5ac0db7-151a-4cab-aeae-b03dcc6d4217 · outbound

This paper cites Seeing dynamic scene in the dark: A high-quality video dataset with mechatronic alignment.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Seeing dynamic scene in the dark: A high-quality video dataset with mechatronic alignment

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.608133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a19fef68-7dca-4918-a6de-c396eebd0888 · outbound

This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Edvr: Video restoration with enhanced deformable convolutional networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.592844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0cc7c937-dab3-4770-b322-851304c9c140 · outbound

This paper cites Self-supervised video object segmentation by motion grouping.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Self-supervised video object segmentation by motion grouping

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.577087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e319c0b-9c1f-48eb-9010-2550c9572f9e · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Unsupervised moving object detection via contextual information separation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.559975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65f4ed38-bffb-47f7-8a67-cb68b4a97983 · outbound

This paper cites Dystab: Unsupervised object segmentation via dynamic-static bootstrapping.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Dystab: Unsupervised object segmentation via dynamic-static bootstrapping

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.543176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67d474e9-f760-4f2e-983a-a97529730c32 · outbound

This paper cites Anchor diffusion for unsupervised video object segmentation.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Anchor diffusion for unsupervised video object segmentation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.526643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 697c3732-38a7-4ec6-b4d8-6eb6c29c959b · outbound

This paper cites Deformable sprites for unsupervised video decomposition.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Deformable sprites for unsupervised video decomposition

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.510047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29814332-4c27-4a7e-ba94-966b48345116 · outbound

This paper cites Learning temporal consistency for low light video enhancement from single images.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Learning temporal consistency for low light video enhancement from single images

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.493325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0b0e340-3345-46d3-a806-7bd70f73132f · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers The unreasonable effectiveness of deep features as a perceptual metric

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:40.086447Z

Source-reported events for the cited work

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Observation a39b6131-07cd-4231-a8df-101183f4ca31 · outbound

This paper cites Learning to restore hazy video: A new real-world dataset and a new method.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Learning to restore hazy video: A new real-world dataset and a new method

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.468474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47d37aa0-e497-4f14-81fd-887bd2adeb02 · outbound

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

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Motion-attentive transition for zero-shot video object segmentation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:40.452386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cae204dc-d6fd-4e80-bba5-76f3bbc116da · outbound

This paper cites write newline.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers write newline

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:40.100982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e4c3bb-5dc3-45f7-93dd-966385174829 · outbound

This paper cites @esa (Ref.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers @esa (Ref

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:40.107048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ebabb85-7353-4d52-81c5-729a49bd8c4e · outbound

This paper cites an unresolved cited work.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:40.112222Z

Source-reported events for the cited work

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Observation 1096d6e5-989d-459e-85c1-14b8d39feceb · outbound

This paper cites an unresolved cited work.

Video Decomposition Prior: A Methodology to Decompose Videos into Layers Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:40.117072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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