Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T17:43:40.151655Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:1906.09909.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T17:43:40.151655Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5345dd92-0491-4570-9cd1-d61194de8877 · outbound
Deep Exemplar-based Video Colorization Colorization us- ing optimization
Reference 1
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Deep Exemplar-based Video Colorization Fast image and video colorization using chrominance blending
Reference 2
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Deep Exemplar-based Video Colorization An adaptive edge detection based colorization algo- rithm and its applications
Reference 3
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Reference 4
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Reference 5
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Reference 6
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Reference 7
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Reference 8
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Reference 9
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Reference 10
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Deep Exemplar-based Video Colorization Automatic im- age colorization via multimodal predictions
Reference 11
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Deep Exemplar-based Video Colorization Colorization by example
Reference 12
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Deep Exemplar-based Video Colorization Local color transfer via probabilistic segmentation by expectation-maximization
Reference 13
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Deep Exemplar-based Video Colorization Deep colorization
Reference 14
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Observation 7caa3028-1d48-4cd9-8d1e-03d202d782dd · outbound
Deep Exemplar-based Video Colorization Let there be color!: joint end-to-end learning of global and local im- age priors for automatic image colorization with simultane- ous classification
Reference 15
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Deep Exemplar-based Video Colorization Learning rep- resentations for automatic colorization
Reference 16
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Observation 1321d367-7a02-44ba-b903-f53f3f966ed5 · outbound
Deep Exemplar-based Video Colorization Colorful image col- orization
Reference 17
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Deep Exemplar-based Video Colorization Learning large- scale automatic image colorization
Reference 18
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Deep Exemplar-based Video Colorization Pixel-level Semantics Guided Image Colorization
Reference 19
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Deep Exemplar-based Video Colorization Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
Reference 20
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Reference 21
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Reference 22
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Deep Exemplar-based Video Colorization Video colorization using parallel optimization in feature space
Reference 23
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Deep Exemplar-based Video Colorization Key- frame based spatiotemporal scribble propagation
Reference 24
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Deep Exemplar-based Video Colorization Spatiotemporal colorization of video using 3d steerable pyramids
Reference 25
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Deep Exemplar-based Video Colorization Video propagation networks
Reference 26
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Observation 0d2777c9-b457-4397-a071-ec46af5049e8 · outbound
Deep Exemplar-based Video Colorization Tracking emerges by colorizing videos
Reference 27
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Deep Exemplar-based Video Colorization Switchable Temporal Propagation Network
Reference 28
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Deep Exemplar-based Video Colorization Deep Video Color Propagation
Reference 29
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Reference 30
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Reference 31
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Deep Exemplar-based Video Colorization Real-Time User-Guided Image Colorization with Learned Deep Priors
Reference 32
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Deep Exemplar-based Video Colorization Progressive Color Transfer with Dense Semantic Correspondences
Reference 33
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Deep Exemplar-based Video Colorization Image- to-image translation with conditional adversarial networks
Reference 34
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Deep Exemplar-based Video Colorization Learning diverse image colorization
Reference 35
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Deep Exemplar-based Video Colorization Structural Consistency and Controllability for Diverse Colorization
Reference 36
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Deep Exemplar-based Video Colorization PixColor: Pixel Recursive Colorization
Reference 37
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Deep Exemplar-based Video Colorization Probabilistic Image Colorization
Reference 38
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Deep Exemplar-based Video Colorization Colorization of grayscale images and videos using a semiautomatic approach
Reference 39
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Deep Exemplar-based Video Colorization Approximate nearest neighbor fields in video
Reference 40
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Deep Exemplar-based Video Colorization Robust and au- tomatic video colorization via multiframe reordering refine- ment
Reference 41
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Deep Exemplar-based Video Colorization Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 42
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Deep Exemplar-based Video Colorization Non-local Neural Networks
Reference 43
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Reference 44
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Reference 45
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Deep Exemplar-based Video Colorization Edge- preserving decompositions for multi-scale tone and detail manipulation
Reference 46
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Reference 47
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Reference 48
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Reference 49
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Reference 50
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Deep Exemplar-based Video Colorization Actions in con- text
Reference 52
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Deep Exemplar-based Video Colorization Flownet 2.0: Evolution of optical flow estimation with deep networks
Reference 53
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Deep Exemplar-based Video Colorization Artistic style trans- fer for videos
Reference 54
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Deep Exemplar-based Video Colorization Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 55
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Reference 56
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Observation 26c970b3-15d8-44f0-9413-8775ca50ae0b · outbound
Deep Exemplar-based Video Colorization A benchmark dataset and evaluation methodology for video object segmentation
Reference 57
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No inbound Pith citation observations are available.