Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:15:40.117072Z
Paper Citation Record · LEDGER
Video Decomposition Prior: A Methodology to Decompose Videos into Layers
As of 17 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2412.04930.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
72 of 72 outbound references displayed
- verified exact1
- verified fuzzy53
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:41.390641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:41.341795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:39.794416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:41.202233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:41.186102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:41.170492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:39.850053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:39.874979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:39.884942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:39.906378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-11T21:15:40.250255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:40.981472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:40.965576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:39.936873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:40.861126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:15:40.845170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:39.994559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:15:40.040001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
Unavailable: canonical work link unavailable.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
Unavailable: canonical work link unavailable.
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.
Pith citing papers
No inbound Pith citation observations are available.