InDeed: Interpretable image deep decomposition with guaranteed generalizability | Paper Citation Record

Observation f751824a-47d2-4de6-a782-769f28ea9de4 · outbound

This paper cites Deep image prior,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Deep image prior,

Reference 1

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Observation ab022f4e-3c62-45fe-a97f-6cd6d9518626 · outbound

This paper cites Structure-texture image decomposition using deep variational priors,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Structure-texture image decomposition using deep variational priors,

Reference 2

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This paper cites Double-dip: unsu- pervised image decomposition via coupled deep-image-priors,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Double-dip: unsu- pervised image decomposition via coupled deep-image-priors,

Reference 3

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This paper cites A review of image denoising algorithms, with a new one,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A review of image denoising algorithms, with a new one,

Reference 4

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This paper cites Nonlinear total variation based noise removal algorithms,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Nonlinear total variation based noise removal algorithms,

Reference 5

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This paper cites Robust principal component analysis?.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Robust principal component analysis?

Reference 6

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Observation 9637a97f-b9dc-43ac-aa3f-e7a21a48343c · outbound

This paper cites Ouahabi, Signal and image multiresolution analysis.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Ouahabi, Signal and image multiresolution analysis

Reference 7

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This paper cites Sparse Bayesian Methods for Low-Rank Matrix Estimation,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Sparse Bayesian Methods for Low-Rank Matrix Estimation,

Reference 8

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This paper cites Bilateral filtering for gray and color images,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Bilateral filtering for gray and color images,

Reference 9

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This paper cites Structure extraction from texture via relative total variation,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Structure extraction from texture via relative total variation,

Reference 10

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Observation bb1458e7-6b00-485e-a555-63f3e9266a02 · outbound

This paper cites Image decomposition combining low-rank and deep image prior,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Image decomposition combining low-rank and deep image prior,

Reference 11

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This paper cites Internal statistics of a single natural image,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Internal statistics of a single natural image,

Reference 12

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Observation 6d6f2dcc-e681-4859-9f11-c54af3365d7b · outbound

This paper cites Didfuse: deep image decomposition for infrared and visible image fusion,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Didfuse: deep image decomposition for infrared and visible image fusion,

Reference 13

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Observation 2baa920e-e034-46f1-90eb-e6ef1a482a82 · outbound

This paper cites Darn: a deep adversarial residual network for intrinsic image decomposition,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Darn: a deep adversarial residual network for intrinsic image decomposition,

Reference 14

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This paper cites A survey on neural network interpretability,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A survey on neural network interpretability,

Reference 15

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This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,

Reference 16

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This paper cites Algorithm unrolling: Inter- pretable, efficient deep learning for signal and image processing,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Algorithm unrolling: Inter- pretable, efficient deep learning for signal and image processing,

Reference 17

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This paper cites Deep proximal unrolling: Algorithmic framework, convergence analysis and ap- plications,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Deep proximal unrolling: Algorithmic framework, convergence analysis and ap- plications,

Reference 18

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This paper cites An unsupervised deep unrolling framework for constrained op- timization problems in wireless networks,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability An unsupervised deep unrolling framework for constrained op- timization problems in wireless networks,

Reference 19

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This paper cites Interpretable convolutional neural networks,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Interpretable convolutional neural networks,

Reference 20

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This paper cites Bayeseg: Bayesian modeling for medical image segmentation with interpretable gen- eralizability,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Bayeseg: Bayesian modeling for medical image segmentation with interpretable gen- eralizability,

Reference 21

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This paper cites Simplified pac-bayesian margin bounds,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Simplified pac-bayesian margin bounds,

Reference 22

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This paper cites Statistical guarantees for variational autoencoders using pac-bayesian theory,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Statistical guarantees for variational autoencoders using pac-bayesian theory,

Reference 23

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This paper cites Stable princi- pal component pursuit,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Stable princi- pal component pursuit,

Reference 24

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This paper cites Exact matrix completion via convex optimization,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Exact matrix completion via convex optimization,

Reference 25

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This paper cites Robust prin- cipal component analysis: A factorization-based approach with linear complexity,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Robust prin- cipal component analysis: A factorization-based approach with linear complexity,

Reference 26

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This paper cites Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix,

Reference 27

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This paper cites The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices.

InDeed: Interpretable image deep decomposition with guaranteed generalizability The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

Reference 28

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This paper cites Nonparametric bayesian matrix completion,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Nonparametric bayesian matrix completion,

Reference 29

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This paper cites Rank-One Network: An Effective Frame- work for Image Restoration,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Rank-One Network: An Effective Frame- work for Image Restoration,

Reference 30

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This paper cites A non-local algorithm for image denoising,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A non-local algorithm for image denoising,

Reference 31

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This paper cites Image denoising via sparse and redun- dant representations over learned dictionaries,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Image denoising via sparse and redun- dant representations over learned dictionaries,

Reference 32

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This paper cites Pseudo 3d auto-correlation network for real image denoising,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Pseudo 3d auto-correlation network for real image denoising,

Reference 34

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This paper cites Nbnet: Noise basis learning for image denoising with subspace projec- tion,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Nbnet: Noise basis learning for image denoising with subspace projec- tion,

Reference 36

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This paper cites Deep image demosaicking using a cascade of convolutional residual denoising networks,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Deep image demosaicking using a cascade of convolutional residual denoising networks,

Reference 37

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This paper cites Deeply-recursive convolutional network for image super-resolution,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Deeply-recursive convolutional network for image super-resolution,

Reference 38

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InDeed: Interpretable image deep decomposition with guaranteed generalizability Blind universal bayesian image denoising with gaussian noise level learning,

Reference 39

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This paper cites A high-quality de- noising dataset for smartphone cameras,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A high-quality de- noising dataset for smartphone cameras,

Reference 40

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This paper cites Unrolling of deep graph total variation for image denoising,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Unrolling of deep graph total variation for image denoising,

Reference 41

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This paper cites Residual denoising diffusion models,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Residual denoising diffusion models,

Reference 42

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This paper cites Masked image training for generalizable deep image denoising,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Masked image training for generalizable deep image denoising,

Reference 43

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This paper cites DRÆM – A discrim- inatively trained reconstruction embedding for surface anomaly detection,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability DRÆM – A discrim- inatively trained reconstruction embedding for surface anomaly detection,

Reference 44

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This paper cites Anomaly detection in video via self-supervised and multi-task learning,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Anomaly detection in video via self-supervised and multi-task learning,

Reference 45

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InDeed: Interpretable image deep decomposition with guaranteed generalizability Anomaly detection with domain adaptation,

Reference 46

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This paper cites A unified model for multi-class anomaly detection,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A unified model for multi-class anomaly detection,

Reference 47

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This paper cites Self-supervised predictive convolu- tional attentive block for anomaly detection,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Self-supervised predictive convolu- tional attentive block for anomaly detection,

Reference 48

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This paper cites Skip- ganomaly: Skip connected and adversarially trained encoder- decoder anomaly detection,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Skip- ganomaly: Skip connected and adversarially trained encoder- decoder anomaly detection,

Reference 49

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This paper cites Learning temporal regularity in video sequences,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Learning temporal regularity in video sequences,

Reference 50

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This paper cites Anomaly localization by modeling perceptual features.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Anomaly localization by modeling perceptual features

Reference 51

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This paper cites A hybrid video anomaly detection framework via memory-augmented flow re- construction and flow-guided frame prediction,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A hybrid video anomaly detection framework via memory-augmented flow re- construction and flow-guided frame prediction,

Reference 52

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This paper cites FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows.

InDeed: Interpretable image deep decomposition with guaranteed generalizability FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Reference 53

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This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Improved Regularization of Convolutional Neural Networks with Cutout

Reference 54

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This paper cites Cutpaste: Self-supervised learning for anomaly detection and localization,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 55

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Observation fae7e46e-db31-4e71-85b4-d70408e02aea · outbound

This paper cites Superpixel masking and inpainting for self-supervised anomaly detection.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Superpixel masking and inpainting for self-supervised anomaly detection

Reference 56

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Observation ed7b8edd-c59d-4dd3-84ba-a4dc3eee204c · outbound

This paper cites Learning semantic context from normal samples for unsupervised anomaly detection,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Learning semantic context from normal samples for unsupervised anomaly detection,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.240743Z

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Observation 0a1c6fce-b8ea-4372-b772-e09accc9cfe5 · outbound

This paper cites Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.226513Z

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Observation 877cf30f-69ba-443a-a9e4-0acbba77ae4d · outbound

This paper cites Deep learning for anomaly detection: A review,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Deep learning for anomaly detection: A review,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.211506Z

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Observation 2ddbabea-17b1-45db-b1a2-46c30f15516c · outbound

This paper cites Hics: High contrast subspaces for density-based outlier ranking,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Hics: High contrast subspaces for density-based outlier ranking,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.197239Z

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Observation e6c8c7ec-bbc1-4e1c-8c84-944424f497dc · outbound

This paper cites Variational infer- ence: A review for statisticians,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Variational infer- ence: A review for statisticians,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.183093Z

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Observation c05573ad-4755-40d6-bc3e-107ae46ff988 · outbound

This paper cites Advances in variational inference,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Advances in variational inference,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.169538Z

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Observation 40bb859c-56f5-4c98-923d-3d4a17eecb35 · outbound

This paper cites No free lunch theorems for optimization,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability No free lunch theorems for optimization,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.155288Z

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Observation 0db98856-e380-4170-ad5c-7f15c9972bcc · outbound

This paper cites A model of inductive bias learning,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A model of inductive bias learning,

Reference 64

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This paper cites Inductive biases for deep learning of higher-level cognition,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Inductive biases for deep learning of higher-level cognition,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.132869Z

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Observation 669a2035-7ed5-4459-9d30-11648050aab0 · outbound

This paper cites Bayesian image super-resolution with deep modeling of image statistics,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Bayesian image super-resolution with deep modeling of image statistics,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.118462Z

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Observation 0be894c6-b9bd-4975-bf97-929f80909e78 · outbound

This paper cites Tutorial on Variational Autoencoders.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Tutorial on Variational Autoencoders

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:53.661324Z

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This paper cites Deep residual learning for image recognition,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Deep residual learning for image recognition,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:53.666389Z

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This paper cites Pac- bayesian theory meets bayesian inference,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Pac- bayesian theory meets bayesian inference,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.094653Z

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Observation 32731f1a-7468-43db-a7fb-c877e00b150b · outbound

This paper cites Efficient and accurate estimation of lipschitz constants for deep neural networks,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Efficient and accurate estimation of lipschitz constants for deep neural networks,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.080454Z

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Observation 1bf9bcdd-cac1-4683-ad46-8ae38fbd43bb · outbound

This paper cites Optimal adaptation for early stopping in statistical inverse problems,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Optimal adaptation for early stopping in statistical inverse problems,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.066616Z

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Observation 70b7424e-836a-4d92-805b-c812992b2445 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.052607Z

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Observation 60a0d809-25b9-4bef-bc3b-66507554653f · outbound

This paper cites Fields of experts: A framework for learning image priors,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Fields of experts: A framework for learning image priors,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.038655Z

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Observation a45d5720-f7bd-4bf0-926e-68fc5b8b0aa6 · outbound

This paper cites Kodak lossless true color image suite,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Kodak lossless true color image suite,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.022905Z

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Observation 02a78a25-a36e-4350-a730-ae316cfe39b9 · outbound

This paper cites Color demosaicking by local directional interpolation and nonlocal adaptive threshold- ing,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Color demosaicking by local directional interpolation and nonlocal adaptive threshold- ing,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.007968Z

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Observation bcaed63f-8be6-4560-844e-eba883ab7e1e · outbound

This paper cites Real-world Noisy Image Denoising: A New Benchmark.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Real-world Noisy Image Denoising: A New Benchmark

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:53.701586Z

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Observation a0fb5b59-c4d7-40ed-9f12-e6a654b1aa44 · outbound

This paper cites Mvtec ad– a comprehensive real-world dataset for unsupervised anomaly detection,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Mvtec ad– a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:53.993844Z

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Observation 8460c329-491d-4d30-ac35-f210d5189342 · outbound

This paper cites Steel defect detection,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Steel defect detection,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:53.979056Z

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Observation d23d7aca-0ee3-48f1-b63a-85cdf8b06bed · outbound

This paper cites A Benchmark of Medical Out of Distribution Detection.

InDeed: Interpretable image deep decomposition with guaranteed generalizability A Benchmark of Medical Out of Distribution Detection

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:53.714371Z

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This paper cites The relationship between precision- recall and roc curves,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability The relationship between precision- recall and roc curves,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:53.964837Z

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Observation 08a13444-a534-402e-b930-e91b8ec5be0a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Adam: A Method for Stochastic Optimization

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:53.722854Z

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Observation 82dd13a7-947f-435a-93b9-4b2ec9f80bd8 · outbound

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InDeed: Interpretable image deep decomposition with guaranteed generalizability Image denois- ing by sparse 3-d transform-domain collaborative filtering,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.522149Z

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Observation 2d04093b-b669-4d2d-a8ad-df1b23f10ad7 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:54.494969Z

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Observation 3ee87fb0-f8aa-4255-8048-1ffceb02c55c · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:53.735205Z

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Observation d773f380-1795-4bec-a552-3d52322ef5ff · outbound

This paper cites Rank-one network: An effective frame- work for image restoration,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Rank-one network: An effective frame- work for image restoration,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:53.941061Z

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Observation 56c262f0-4527-4829-bf1f-3bc047e55db4 · outbound

This paper cites Deep variational network toward blind image restoration,.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Deep variational network toward blind image restoration,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:53.926230Z

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Observation 91717b5a-5762-4bf5-b8b0-b40fb1d34787 · outbound

This paper cites Student-Teacher Feature Pyramid Matching for Anomaly Detection.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Student-Teacher Feature Pyramid Matching for Anomaly Detection

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:53.748386Z

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Observation 9fc53c3a-832a-4dec-884a-38bed62da9f8 · outbound

This paper cites Shangqi Gao is a Research Associate at the University of Cambridge.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Shangqi Gao is a Research Associate at the University of Cambridge

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:53.910606Z

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