Omnidirectional Video Super-Resolution using Deep Learning | Paper Citation Record

Observation 00aa55ea-9c23-4950-bb39-ae1cdbe2eb6d · outbound

This paper cites Tile-based joint caching and delivery of 360 videos in heterogeneous networks,.

Omnidirectional Video Super-Resolution using Deep Learning Tile-based joint caching and delivery of 360 videos in heterogeneous networks,

Reference 1

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Observation edf7eec3-c7d4-4c57-a9cc-a5dda70c9723 · outbound

This paper cites A survey on adaptive 360 video streaming: solutions, challenges and opportunities,.

Omnidirectional Video Super-Resolution using Deep Learning A survey on adaptive 360 video streaming: solutions, challenges and opportunities,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.612728Z

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This paper cites Video coding optimization for virtual reality 360-degree source,.

Omnidirectional Video Super-Resolution using Deep Learning Video coding optimization for virtual reality 360-degree source,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.605815Z

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This paper cites Characterization of 360-degree videos,.

Omnidirectional Video Super-Resolution using Deep Learning Characterization of 360-degree videos,

Reference 4

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This paper cites Streaming 360-degree videos using super-resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Streaming 360-degree videos using super-resolution,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.598909Z

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Observation cfdf4902-27e1-44b2-862a-7eaf4e80dd8c · outbound

This paper cites Toward low- latency and ultra-reliable virtual reality,.

Omnidirectional Video Super-Resolution using Deep Learning Toward low- latency and ultra-reliable virtual reality,

Reference 6

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This paper cites Recurrent back-projection network for video super-resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Recurrent back-projection network for video super-resolution,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.586187Z

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Observation 71c824fd-01d0-49e6-a987-b1c5ec4c2e0e · outbound

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

Omnidirectional Video Super-Resolution using Deep Learning Edvr: Video restoration with enhanced deformable convolutional networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.579664Z

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Observation 1759d793-562c-4d2e-865b-8dd0fdae9a72 · outbound

This paper cites Video super- resolution with recurrent structure-detail network,.

Omnidirectional Video Super-Resolution using Deep Learning Video super- resolution with recurrent structure-detail network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.571878Z

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Observation 357b64d6-c621-413c-8d8b-9b44a03d0e26 · outbound

This paper cites Basicvsr: The search for essential components in video super-resolution and beyond,.

Omnidirectional Video Super-Resolution using Deep Learning Basicvsr: The search for essential components in video super-resolution and beyond,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.563051Z

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Observation 1800b9d7-b0de-4684-b1aa-0131d4a9183f · outbound

This paper cites Video super-resolution with temporal group attention,.

Omnidirectional Video Super-Resolution using Deep Learning Video super-resolution with temporal group attention,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.556045Z

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Observation 6188eecd-fcf6-40e0-8194-abd60e17cea8 · outbound

This paper cites Deformable convolutional networks,.

Omnidirectional Video Super-Resolution using Deep Learning Deformable convolutional networks,

Reference 12

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Observation 7f51435d-1851-4960-aaba-e1dc2f5fbd0f · outbound

This paper cites Deep video super-resolution network using dynamic upsampling filters without explicit motion com- pensation,.

Omnidirectional Video Super-Resolution using Deep Learning Deep video super-resolution network using dynamic upsampling filters without explicit motion com- pensation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.544493Z

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Observation 6e921818-faa5-4736-b66d-c54219334205 · outbound

This paper cites Gen- erative adversarial networks and perceptual losses for video super- resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Gen- erative adversarial networks and perceptual losses for video super- resolution,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.536081Z

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Observation b69fad43-f556-4e70-af7d-5a1ced0ebe07 · outbound

This paper cites A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution.

Omnidirectional Video Super-Resolution using Deep Learning A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution

Reference 15

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Observation cacf2885-c3da-4f09-8216-aeb8a6f0db3c · outbound

This paper cites Revisiting Temporal Modeling for Video Super-resolution.

Omnidirectional Video Super-Resolution using Deep Learning Revisiting Temporal Modeling for Video Super-resolution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.359246Z

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Observation 5c7e3dc4-a054-4362-985a-4533ceb21491 · outbound

This paper cites Online Video Super-Resolution us- ing Unidirectional Recurrent Model,.

Omnidirectional Video Super-Resolution using Deep Learning Online Video Super-Resolution us- ing Unidirectional Recurrent Model,

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:27:02.184341Z

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Observation 6a2705f2-9703-4141-ae04-afe7b35cb922 · outbound

This paper cites Basicvsr++: Improving video super-resolution with enhanced propagation and alignment,.

Omnidirectional Video Super-Resolution using Deep Learning Basicvsr++: Improving video super-resolution with enhanced propagation and alignment,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.562156Z

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Observation 55222fd8-ca39-4936-8ac5-a5b86137a88b · outbound

This paper cites Omniscient video super-resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Omniscient video super-resolution,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.524372Z

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Observation 7ee6da44-46e8-4899-92a2-358ac2e6c29a · outbound

This paper cites 360 panorama super-resolution using deep convolutional networks,.

Omnidirectional Video Super-Resolution using Deep Learning 360 panorama super-resolution using deep convolutional networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.516129Z

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Observation 617b0060-b1c3-4160-b5a7-6aadd66f8ffd · outbound

This paper cites Super-resolution of omnidirec- tional images using adversarial learning,.

Omnidirectional Video Super-Resolution using Deep Learning Super-resolution of omnidirec- tional images using adversarial learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.509071Z

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Observation 3679f932-3a38-42b6-8c2c-a0c60dd4657d · outbound

This paper cites 360° single image super res- olution via distortion-aware network and distorted perspective images,.

Omnidirectional Video Super-Resolution using Deep Learning 360° single image super res- olution via distortion-aware network and distorted perspective images,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.501611Z

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Observation 0a7a57ab-e65a-45ba-ac02-2ada3b1a3b5f · outbound

This paper cites Image super-resolution using deep convolutional networks,.

Omnidirectional Video Super-Resolution using Deep Learning Image super-resolution using deep convolutional networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.873028Z

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Observation 21dd25b2-88d2-41f0-95b7-5d434ba14427 · outbound

This paper cites Recognizing scene viewpoint using panoramic place representation,.

Omnidirectional Video Super-Resolution using Deep Learning Recognizing scene viewpoint using panoramic place representation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.488745Z

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Observation e8661e0a-6d23-48cb-b4b6-6d70c1e85ea5 · outbound

This paper cites Streaming 360-degree videos using super-resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Streaming 360-degree videos using super-resolution,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.480647Z

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Observation 31d3e541-1895-4c5c-82ba-366e8fb6c69b · outbound

This paper cites Image quality metrics: Psnr vs. ssim,.

Omnidirectional Video Super-Resolution using Deep Learning Image quality metrics: Psnr vs. ssim,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.880695Z

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Observation 41a188b4-72b5-4f9f-aec5-b64c611a1cc4 · outbound

This paper cites Weighted-to-spherically- uniform ssim objective quality evaluation for panoramic video,.

Omnidirectional Video Super-Resolution using Deep Learning Weighted-to-spherically- uniform ssim objective quality evaluation for panoramic video,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.470566Z

Source-reported events for the cited work

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Observation c12a45e5-bc02-4974-bba1-59d1da599fbf · outbound

This paper cites Optical flow estimation using a spatial pyramid network,.

Omnidirectional Video Super-Resolution using Deep Learning Optical flow estimation using a spatial pyramid network,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.462552Z

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Observation 93e28943-3bcc-486c-b0f0-aab250f8db51 · outbound

This paper cites Dynamic field of view restriction in 360° video: Aligning optical flow and visual slam to mitigate vims,.

Omnidirectional Video Super-Resolution using Deep Learning Dynamic field of view restriction in 360° video: Aligning optical flow and visual slam to mitigate vims,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.887267Z

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Observation f6a9d39e-cfbf-438d-9a1c-2b07af8e5302 · outbound

This paper cites Revisiting optical flow estimation in 360 videos,.

Omnidirectional Video Super-Resolution using Deep Learning Revisiting optical flow estimation in 360 videos,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.454178Z

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Observation f2b8682c-46fe-4c11-9176-69d2873d5e2c · outbound

This paper cites PanoFlow: Learning 360{\deg} Optical Flow for Surrounding Temporal Understanding.

Omnidirectional Video Super-Resolution using Deep Learning PanoFlow: Learning 360{\deg} Optical Flow for Surrounding Temporal Understanding

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:27:02.055447Z

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Observation 8b1599c6-5c90-4b6a-98e9-c2fba97882e1 · outbound

This paper cites Gen- erative adversarial networks and perceptual losses for video super- resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Gen- erative adversarial networks and perceptual losses for video super- resolution,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.893133Z

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This paper cites Cbam: Convolutional block attention module,.

Omnidirectional Video Super-Resolution using Deep Learning Cbam: Convolutional block attention module,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.895376Z

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Observation 7a616ddf-e7d1-4a58-a41f-66d81229db55 · outbound

This paper cites Bridge the gap between vqa and human behavior on omnidirectional video: A large-scale dataset and a deep learning model,.

Omnidirectional Video Super-Resolution using Deep Learning Bridge the gap between vqa and human behavior on omnidirectional video: A large-scale dataset and a deep learning model,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.897025Z

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Observation 15dc3d48-7032-4865-b3d7-078761000b02 · outbound

This paper cites Learning compressible 360° video isomers,.

Omnidirectional Video Super-Resolution using Deep Learning Learning compressible 360° video isomers,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.436495Z

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Observation 3af0fe62-58c1-4a0c-99cd-8d87c5457dc7 · outbound

This paper cites A survey on 360-degree video: Coding, quality of experi- ence and streaming,.

Omnidirectional Video Super-Resolution using Deep Learning A survey on 360-degree video: Coding, quality of experi- ence and streaming,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.427382Z

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Observation bbae3e99-3b5d-4445-8b10-f186c189d163 · outbound

This paper cites State-of-the-art in 360 video/image processing: Perception, assessment and compression,.

Omnidirectional Video Super-Resolution using Deep Learning State-of-the-art in 360 video/image processing: Perception, assessment and compression,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.904861Z

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Observation 202f7329-6976-4587-a500-6f274876bb93 · outbound

This paper cites A taxonomy and dataset for 360° videos,.

Omnidirectional Video Super-Resolution using Deep Learning A taxonomy and dataset for 360° videos,

Reference 39

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:27:02.045226Z

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Observation 6280a189-89ae-4432-9946-af92713ad717 · outbound

This paper cites Personal identifiability of user tracking data during observation of 360- degree vr video,.

Omnidirectional Video Super-Resolution using Deep Learning Personal identifiability of user tracking data during observation of 360- degree vr video,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.413049Z

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Observation 3fde93ac-5cc0-4c3d-a482-401a9ed10b2f · outbound

This paper cites Castellano.

Omnidirectional Video Super-Resolution using Deep Learning Castellano

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.402406Z

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Observation d0290cdb-75d7-49c2-81e2-4f408d7cabb2 · outbound

This paper cites Subjective video quality assessment methods for multimedia applications,.

Omnidirectional Video Super-Resolution using Deep Learning Subjective video quality assessment methods for multimedia applications,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.394033Z

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Observation 42fbfaf0-575e-49e8-b236-057c9ee93317 · outbound

This paper cites Video enhance- ment with task-oriented flow,.

Omnidirectional Video Super-Resolution using Deep Learning Video enhance- ment with task-oriented flow,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.916599Z

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Observation 266b3e29-1fe0-46bb-a839-fe5064009209 · outbound

This paper cites Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study,.

Omnidirectional Video Super-Resolution using Deep Learning Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.380636Z

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Observation e58c8d29-2d6b-4062-b4ae-f2d488e99352 · outbound

This paper cites Multi-temporal ultra dense memory network for video super-resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Multi-temporal ultra dense memory network for video super-resolution,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.372558Z

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Observation a4363dd7-f2e6-49f9-9b09-514371093762 · outbound

This paper cites Freezing subnetworks to analyze domain adaptation in neural machine translation,.

Omnidirectional Video Super-Resolution using Deep Learning Freezing subnetworks to analyze domain adaptation in neural machine translation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.364971Z

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Observation ec68913e-8f78-4240-b0c6-8f3d05c99f30 · outbound

This paper cites Video super-resolution based on deep learning: a comprehensive survey,.

Omnidirectional Video Super-Resolution using Deep Learning Video super-resolution based on deep learning: a comprehensive survey,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.358461Z

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Observation 046b7358-6fed-499b-b861-686ef8f8d1c8 · outbound

This paper cites Fast r-cnn,.

Omnidirectional Video Super-Resolution using Deep Learning Fast r-cnn,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.350217Z

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Observation a8e676af-089d-4fc7-94ba-9e7436de8159 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Omnidirectional Video Super-Resolution using Deep Learning Adam: A Method for Stochastic Optimization

Reference 49

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Observation 19b2e871-4a18-49f8-aaf4-a3784d69ff30 · outbound

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

Omnidirectional Video Super-Resolution using Deep Learning Pytorch: An imperative style, high-performance deep learning library,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.342948Z

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Observation c226e309-25f9-4e04-9144-1adfdb135174 · outbound

This paper cites Ahg8: Ws-psnr for 360 video objective quality evaluation,.

Omnidirectional Video Super-Resolution using Deep Learning Ahg8: Ws-psnr for 360 video objective quality evaluation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.335893Z

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

Observation 6a76ec23-2e08-4959-87ba-506b08eb9143 · outbound

This paper cites Tell me where to look: Investigating ways for assisting focus in 360 video,.

Omnidirectional Video Super-Resolution using Deep Learning Tell me where to look: Investigating ways for assisting focus in 360 video,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.327703Z

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

Observation 644ee7fa-846e-48a3-a7b1-598e11eda1f4 · outbound

This paper cites Lau-net: Latitude adaptive upscaling network for omnidirectional image super- resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Lau-net: Latitude adaptive upscaling network for omnidirectional image super- resolution,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.319307Z

Source-reported events for the cited work

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

Observation 4034e7e2-21f7-41a8-8bbc-5a25ecdee492 · outbound

This paper cites Super-resolution of omnidirec- tional images using adversarial learning,.

Omnidirectional Video Super-Resolution using Deep Learning Super-resolution of omnidirec- tional images using adversarial learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.312643Z

Source-reported events for the cited work

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

Observation 6b01e366-a1c1-4771-a265-9535d169cabd · outbound

This paper cites Video super- resolution with convolutional neural networks,.

Omnidirectional Video Super-Resolution using Deep Learning Video super- resolution with convolutional neural networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.304574Z

Source-reported events for the cited work

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

Observation 79bd8d5e-a4f7-4323-a7eb-0d13fd41b9d6 · outbound

This paper cites Real-time video super-resolution with spatio-temporal networks and motion compensation,.

Omnidirectional Video Super-Resolution using Deep Learning Real-time video super-resolution with spatio-temporal networks and motion compensation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.296162Z

Source-reported events for the cited work

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

Observation 0d888156-4ce1-4664-a3a7-7da6a3b5b5ad · outbound

This paper cites Frame-recurrent video super-resolution,.

Omnidirectional Video Super-Resolution using Deep Learning Frame-recurrent video super-resolution,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.287726Z

Source-reported events for the cited work

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

Observation 02d82e8f-140f-4fff-b980-053d169309db · outbound

This paper cites 360-aware saliency estimation with conven- tional image saliency predictors,.

Omnidirectional Video Super-Resolution using Deep Learning 360-aware saliency estimation with conven- tional image saliency predictors,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.278979Z

Source-reported events for the cited work

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

Observation 1aa1bbdf-d732-4796-822b-7b3dccaab1b9 · outbound

This paper cites Deep Learning for Omnidirectional Vision: A Survey and New Perspectives.

Omnidirectional Video Super-Resolution using Deep Learning Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.959618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea058965-f553-48d8-8950-44fd60c02ffd · outbound

This paper cites Dr Lee was a Postdoctoral Fellow at the Center for Signal Processing at The Hong Kong Polytechnic University in 2017-2018.

Omnidirectional Video Super-Resolution using Deep Learning Dr Lee was a Postdoctoral Fellow at the Center for Signal Processing at The Hong Kong Polytechnic University in 2017-2018

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.271704Z

Source-reported events for the cited work

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

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Reference resolution

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Pith citing papers