Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:05:53.524314Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 2 inbound Pith citation observations for arXiv:2502.10444.
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 2026-08-08T13:05:53.524314Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:46:40.706675Z
100 of 299 outbound references displayed
External citation measurements
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Observation a7596587-3382-437b-8034-2556539d20d3 · outbound
Reference 1
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Observation 291e385f-ccdf-4303-8af6-2244222c0090 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Hrdfuse: Monocular 360 depth estimation by collab- orativelylearningholistic-with-regionaldepthdistributions
Reference 2
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Observation ebcda7b5-a942-4695-979e-1300735432b4 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Lu, Chen Chen, Jiancang Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, and Lin Wang
Reference 3
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Observation 2d4c5d58-e771-4302-bcd6-59e0c228fd36 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360-degree image completion by two- stage conditional gans
Reference 4
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Observation b7f00fb1-f3dd-4dad-9e48-e4b0f26df949 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Diverse plausible 360-degree image outpainting for efficient 3dcg background creation.CVPR, 2022
Reference 5
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Observation dffa1998-734d-42ee-adcb-c9852f96ede8 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Gkitsas, Vladimiros Sterzentsenko, et al
Reference 6
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Cubes3D: Neural Network based Optical Flow in Omnidirectional Image Scenes
Reference 7
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Observation ab02fbc5-1e26-4b79-b7b0-21b8ac466f71 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Joint 2d-3d-semantic data for indoor scene understanding
Reference 8
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Observation 51c9d6a3-9c56-44d7-8df0-036c5bcb79cd · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Omniflownet: a perspective neural network adaptation for optical flow estimation in omnidirectional images
Reference 9
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Observation ec883056-f08b-404e-be01-6fa7585b69f5 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Glpanodepth: Global-to-local panoramic depth estimation
Reference 10
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Observation b2b1550a-5ba3-4d59-a40c-e36c014f7f27 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Ma360: Multi-agent deep rein- forcement learning based live 360-degree video streaming on edge
Reference 11
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Observation 069441bd-7a43-47cc-b4a5-57ac9520c449 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Multidiffusion: Fusing diffusion paths for controlled image generation
Reference 12
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Observation 6fe65f2f-551d-442a-9e6b-0678d6b2cf46 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision On the use of deep learning for computational imaging
Reference 13
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Observation 777990cb-5640-4783-a545-7b9e9690f71c · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision To- wards autonomous driving: a multi-modal 360◦ perception proposal
Reference 14
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Observation a4e079d9-43b3-4d9d-b7cc-6f8e6f251d3b · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Scaled 360 layouts: Revisiting non-central panoramas
Reference 15
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Observation a8309acf-7a0d-49c9-8e61-43aba12837db · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Atlanta scaled layouts from non-central panoramas
Reference 16
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Observation 365164c5-f8da-439a-9d5d-415e4f8ab7d9 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Learning omnidirectional flow in 360◦ video via siamese representation
Reference 17
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Observation 7f45949a-9c2a-4ddc-9b9a-63a77d190aaf · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Revisiting optical flow estimation in 360 videos
Reference 18
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Observation b7b1999d-f06d-4adc-8697-d618099b4d09 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision nuscenes: A multi- modal dataset for autonomous driving
Reference 19
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Observation 71f744dd-c1c7-4a5f-9cb1-e5eb509e3a71 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Field- of-view iou for object detection in 360° images
Reference 20
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Observation 7caf2b79-c714-4e43-a5f1-3a1328afd684 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Ntire 2023 challenge on 360° omnidirectional image and video super-resolution: Datasets, methods and results.CVPR Workshop, 2023
Reference 21
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Omnizoomer: Learning to move and zoom in on sphere at high-resolution
Reference 22
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Engel, and Daniel Cremers
Reference 23
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Observation a399c09e-3dd3-4af7-9d36-bbf1a49d3a24 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Blind quality assessment of omnidirectional videos using spatio-temporal convolutional neural networks.Optik, 2021
Reference 24
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Observation a278ffbd-0de3-4945-a5c1-d5872a672d5a · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Matterport3d: Learning from rgb-d data in indoor environments.ArXiv, 2017
Reference 25
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Observation 7c44cae2-4552-42d8-a656-757e9a02a262 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Generating 360 outdoor panorama dataset with reliable sun position estimation.SIGGRAPH Asia 2018 Posters, 2018
Reference 26
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Depth estimation from indoor panoramas with neural scene repre- sentation
Reference 27
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Reference 28
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Observation ae2a4c47-fc94-4840-a208-54d85decf43c · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Intra- and inter- reasoning graph convolutional network for saliency predic- tion on 360° images
Reference 29
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Observation 2c448ab2-d1d1-4af7-99c4-bb0919a4722c · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Salbinet360: Saliency prediction on 360◦ images with local-global bifurcated deep network.IEEE VR, 2020
Reference 30
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Observation c27b4f59-fecc-48d6-9511-1db21d9cc547 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Multi-stage salient object detection in 360° omnidirectional image using complementary object-level semantic information
Reference 31
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Observation 8829e719-2453-4788-8205-abb3e07863d5 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360+ x: A panoptic multi- modal scene understanding dataset
Reference 32
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Observation 5294ba22-4b9a-43d6-9899-359100f30ba2 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Dif- fusiondet: Diffusion model for object detection
Reference 33
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Observation 424cf520-5f63-44b7-ad90-c122d3169d96 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Spherical structural similarity index for objective omnidirectional video quality assessment.ICME, 2018
Reference 34
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Observation 8c4816ce-0ea7-4e19-a122-026ab6207b46 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Dynamic convolution: Attention over convolution kernels.CVPR, pages 11027– 11036, 2019
Reference 35
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Observation a344619e-2c83-4123-b59d-d1345100d399 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision A unified and biologically-plausible re- lational graph representation of vision transformers.IEEE TNNLS, 2022
Reference 36
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Observation b7ae3e0a-63ac-43b4-9b90-77f36f11416c · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Text2light: Zero-shot text-driven hdr panorama generation
Reference 37
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Observation d558b13b-fad2-4e3f-bc21-47a9dc9802ac · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Recent advances in omnidirectional video coding for virtual reality: Projection and evaluation.Signal Process., 2018
Reference 38
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Unsupervised omnimvs: Efficient omnidirectional depth inference via establishing pseudo-stereo supervision
Reference 39
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Cube padding for weakly-supervised saliency prediction in 360 videos
Reference 40
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Observation 24d799ba-f6e4-4499-a0ea-f74e864588e9 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Sam- pling based spherical transformer for 360 degree image classification
Reference 41
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360-indoor: towards learn- ing real-world objects in 360deg indoor equirectangular images
Reference 42
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Reference 43
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Group equivariant convolu- tional networks
Reference 44
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Spherenet:Learningsphericalrepresentations for detection and classification in omnidirectional images
Reference 45
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Coughlan and Alan Loddon Yuille
Reference 46
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Observation 23a47053-529f-4661-ab99-ea1ea3ed37ad · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts
Reference 47
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Observation 6022e44f-4842-4cba-b2e5-1cbb6fa164df · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Unresolved cited work
Reference 48
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Observation fe58dadc-8726-4937-a008-0d2bdd7ed8f4 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Dilated convolutional neural networks for panoramic image saliency prediction.ICASSP, 2020
Reference 49
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Guided co-modulated gan for 360° field of view extrapolation.3DV, 2022
Reference 50
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Ev- erlight: Indoor-outdoor editable hdr lighting estimation
Reference 51
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision A viewport-driven multi-metric fusion approach for 360- degree video quality assessment.ICME, 2020
Reference 52
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Saliency prediction for omnidirectional images considering optimization on sphere domain.ICASSP, 2019
Reference 53
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Deepsphere: a graph-based spherical cnn
Reference 54
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Reference 55
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Restricted deformable convolution- based road scene semantic segmentation using surround view cameras
Reference 56
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Cnn based semantic segmentation for urban traffic scenes using fisheye camera.IV, 2017
Reference 57
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Reference 58
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Extending 2d saliency models for head movement prediction in 360-degree images using cnn- based fusion
Reference 59
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Reference 60
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Reference 61
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Reference 62
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Reference 63
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Reference 64
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Reference 65
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Reference 66
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Reference 67
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision 360 depth estimation in the wild-the depth360 dataset and the segfuse network
Reference 68
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Reference 69
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Layouts from panoramic images with geometry and deep learning.RAL, 2018
Reference 70
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Reference 71
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Observation 676e87bc-b39d-48a5-a581-d244f9f4d818 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Adaptive hypergraph convolutional network for no-reference 360-degree image quality assessment.ACM MM, 2021
Reference 72
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A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Quality assessment for omnidirectional video: A spatio-temporal distortion modeling approach.TMM, 2022
Reference 73
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Reference 74
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Observation 774a3d10-1012-4ac8-be59-63f314833527 · outbound
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Deep parametric indoor lighting estimation.ICCV, 2019
Reference 75
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Reference 76
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Reference 77
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Reference 78
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Reference 79
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Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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Reference 90
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Reference 92
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Reference 93
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Observation 6913bc69-004d-4ccd-8f60-7a645e68e525 · outbound
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Reference 95
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Reference 100
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