Pith. sign in

Paper Citation Record · LEDGER

Omnidirectional Video Super-Resolution using Deep Learning

As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2506.14803.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.14803 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:27:01.963044Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:27:02.619747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.030772Z digest=sha256:fb9f8c05fb3900f460c264942356d10b570b68ab0167174277dc7f3bb58c2f1e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.128101Z digest=sha256:450cab5de46e811b8043259d7cef5ddecf23a88135c588007fc6a05116d3bec0

Observation 0a9fa0bd-82b4-4527-bbcc-b8a8410e46a2 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.228753Z digest=sha256:93ebde35c85755e9276b6f72c82a16f7db8965e2e62f9996f470db55945e8377

Observation f73c9b70-edfe-40bd-b3fb-df881c30673e · outbound

This paper cites Characterization of 360-degree videos,.

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

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T11:27:02.263850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.334638Z digest=sha256:730243ba342aa48b73ef5ea2a61a729059c4817939d854469449999f5079f7c9

Observation 1b41aa5e-1130-4410-9ab3-67e2b0e6fae0 · 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 5

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.413202Z digest=sha256:8789541c186656df05b5af42dee8f21280ef04f192a91602b56e7bb8f109eaad

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:00.479679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:00.479679Z digest=sha256:98a70c883d3e926dae59b8c3ff41bba60430bfb4d19fea3309b5696b1e6491ef

Observation 3b4ac22e-35b6-4268-b614-82ef18595a29 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.559742Z digest=sha256:e0d292773da4bffd92237a05fa52c65ed51aedd699cf39d429168286fd5a4c43

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.689209Z digest=sha256:20cf50ef2387b4a6a2e475ddb95deb3b61c20ca9008a4469092883efdc4f92c7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.743799Z digest=sha256:ab6f215890ef1fdf175c4ecd745599486a17c7164a7ec9b0a74e22bb243c1c6b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.792203Z digest=sha256:e802b73863e9df72be68e239ef4e0d969c75ca99b2e45236cd684a3a16263656

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:00.876240Z digest=sha256:d2d9ad41976e1d10d5619644f5df7a800e9d5f93eff35ec095423c4ddbf24cb7

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:00.999480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:00.999480Z digest=sha256:8b6e38aa3c930fd8629f69c7bc9b693d4d896ddc1ab411bdcbc4ef08baa1bb2a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.103821Z digest=sha256:273e0fafed144b1111912149bbd0611f59c40341d4e67548177ae1eac4dd9f52

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.161023Z digest=sha256:b44d19a7bd379fb346126b6332c90d7a8a5f0e64ead0320a509ef2d31232e653

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:01.279126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.279126Z digest=sha256:123ce930b3157bb6b40f87dfeb026b439522f95e2bdc404fc815717fd0620593

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.359246Z digest=sha256:704d110f9dff3e074a96ff1ce8b90f70260cb5ad9f28dc32a83f445c6d7c54ae

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.432411Z digest=sha256:3ec40ccead3c2d38f39be1979da23e6f0fec842c0e236e3d3a6d8d0c33bf2f7b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.562156Z digest=sha256:325e53def0800482a4e5bcb2c96ae3f0e22dea34615ef476b9b45888961da5f4

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.621267Z digest=sha256:c7da5b4888f717506f4933d2146570dd538a81285f0a6dc6e50e1f854a07dd71

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.730376Z digest=sha256:7f8f09da25c9a84a1ee8243ad86daaa49a233c3fa506606f59064e3dd80ab78e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.803304Z digest=sha256:0e2adab83e2ee56f15373b3a3c43314e0e398f25a99b2f350101aca424911402

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.844565Z digest=sha256:68c986c23bd63333b7d31a884e931d83d7fed6fe00d20b13d3015857e0c17ba6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.873028Z digest=sha256:a16c1dd90439fdefc000ffc56432b0fb283e5092873c901f183d0e9386480566

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.875953Z digest=sha256:99d4a8430186aeb8b563615ce10dc4d1a743f4f0b18a1053b5910135d3380bc8

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.878718Z digest=sha256:ef5c5c4aae2a0dbbf19b9231f639099c65ad1e5189ed97db4384049a646cd8b9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.880695Z digest=sha256:b72c409186a9dfe994f7883c50f0ebc15e54686238a955524a1a2662cc503add

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.882737Z digest=sha256:9d02f5a3edde2228292a0706d868b051f29ed928936091f3c257e987e71c8325

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.884732Z digest=sha256:22a29d34ecbc68299accb659a5267a495bfc6df0583f766e1963a31bd1463350

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.887267Z digest=sha256:ea1f719257c03b54de52bb7fe7d00a3e350150d46f4b5aaf49305b327618ec25

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.889176Z digest=sha256:5b51bd922287c8cac7fb0bbe3e51efaca5ae539c5d7f57808ae1a73f32d2da0b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.890915Z digest=sha256:219917e9fac33edad7a7232a3a2295a496089628d36b9e483b0d25619e0fdf30

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.893133Z digest=sha256:a4f5a9ce247602156b151d2516b1adfe7960820e77813fcf6accc01403b854ee

Observation 5f8f44f2-2507-41e2-a7ab-ee4c90d6a006 · outbound

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.895376Z digest=sha256:9324a542257c0e1ac2844849b2b3d7f14cc9ca4b1f2e7ad50084bd6e095772a6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.897025Z digest=sha256:bd820c07e35e92cc189277fb47ecda5b05f1bfd6fb1773b6affc4d80dfecc95b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.898683Z digest=sha256:d9657f7d00fbf1bfb8610a2e48278e65f26fef7bbf2fbde154b0dc3eb6d3b51d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.903157Z digest=sha256:af596bbfbab61fd811cf91c84b481e563f723500b23cb5c6ba9aa7f459cab7eb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.904861Z digest=sha256:24f7d6f50e014635f2c2cd6797081e59bc35119c7c7824ad5aa1ba10833231ad

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.906753Z digest=sha256:5ef63be77e550075595c9bebc03845ff15a91bf21efafbf557ecbccab5eba8b8

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.909332Z digest=sha256:ad00f4850982820ec933ff04cb06a2b4b0cbfdb025154cfe5e3e6beb1df3f6a1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.911135Z digest=sha256:6417f49a5b9bbbd22f2b2d3a947b3b97355ab9078c378ac637e6c4a8c08afbc8

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.914468Z digest=sha256:f4bdd95aa56601eb3ff356689d8cb5108a0670037e23e900c6d9a2b3d74e17b2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.916599Z digest=sha256:e3e4f09be95ab749601437133d98b2b466e6afbb3666ef5e35590b42555c396a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.918909Z digest=sha256:97c4ad8a7f87683c3e9df1538af73d80055e6e9e27ce3f0956d227cd691e881f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.920650Z digest=sha256:51c0cdd47e696a7096908bc4a220c474c97560f0b2485cbe0be86e987c40f057

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.923657Z digest=sha256:38a511c4763f2de56d901855005bae3629695012ccf6203a4bad7e044379bd44

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.926471Z digest=sha256:0696f96af995dbc1ffec1c2bb433c96e88f27d2aa5b202988e4565421c6be271

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.928493Z digest=sha256:7c4f1a90f39c8cc278e73debe9a6576b83bdfacc89bcbcc80cbbe48df848a7a0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:01.931094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:01.931094Z digest=sha256:8b1e3f37d3cf90f13e1f5621b8e9f75577c88c3c839f8537a5ed2805954d76c1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.934420Z digest=sha256:48c8bf406af579abc85111477f49e1c09f7ab311fbb7251ecb0f67cd30afa4ff

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.937423Z digest=sha256:1c9f2170a9093450f5431063e76c455169551728a4d2ae528db7116834f23231

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.939416Z digest=sha256:9768694c36c71ee8aca02683a2e2465f3b01e54acaa132297e30178a0ab40b5d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.942152Z digest=sha256:4ff899087d1b53140d5b396b81dd8d3dcc218019396aaeba1c1b7a663810102a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.945524Z digest=sha256:e3257e42de9749835791c1dc78ce0ed0cceeb6cd037b7c6be1dc4616e1eea16f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.948375Z digest=sha256:2d91acae3c7d9aadf5ce8e55a013240f5b1ebbeb445497ad134a24767f26f958

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.951182Z digest=sha256:01c491e9a54b3a20a6f0959773668874545a41f668f093f6338554e27e7e3536

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.954384Z digest=sha256:3ff141c1f3bef975f9e432d64105ff6107c826414242ca1e8bd902de251ffdb3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.957499Z digest=sha256:95e7a149e7a7f0785d77582b10b31569c3d7e9b840b0de1392dde240704d433d

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.

source=pdf_text observed=2026-08-07T11:27:01.959618Z digest=sha256:10c50fc3f6c1dd8f350e124985769129a3e38b731d971c22332c8a1c45181b2d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:27:01.963044Z digest=sha256:95921c846f9cb474ca5f71b9365a2990e965936ed5744cd48e75190e216600fe

Pith citing papers

No inbound Pith citation observations are available.