Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors | Paper Citation Record

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This paper cites Wasserstein generative adversarial networks.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Wasserstein generative adversarial networks

Reference 1

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This paper cites Dualrefine: Self-supervised depth and pose estima- tion through iterative epipolar sampling and refinement to- ward equilibrium.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Dualrefine: Self-supervised depth and pose estima- tion through iterative epipolar sampling and refinement to- ward equilibrium

Reference 2

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This paper cites Diagnosis and treatment of metastatic colorectal cancer: a review.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Diagnosis and treatment of metastatic colorectal cancer: a review

Reference 3

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This paper cites Colonoscopy 3d video dataset with paired depth from 2d-3d registration.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Colonoscopy 3d video dataset with paired depth from 2d-3d registration

Reference 4

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This paper cites Richter, and Vladlen Koltun.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Richter, and Vladlen Koltun

Reference 5

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Observation 445e6dbd-2856-4fa0-bc75-f084dbdc5cb1 · outbound

This paper cites Effect of colonoscopy screening on risks of col- orectal cancer and related death.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Effect of colonoscopy screening on risks of col- orectal cancer and related death

Reference 6

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This paper cites Unsupervised monocular depth and ego-motion learning with structure and semantics.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Unsupervised monocular depth and ego-motion learning with structure and semantics

Reference 7

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Observation 5fc7df5d-55bf-4db5-8fc0-954271c7f396 · outbound

This paper cites Glean: Generative latent bank for large-factor image super-resolution.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Glean: Generative latent bank for large-factor image super-resolution

Reference 8

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This paper cites Depth estimation for colonoscopy images with self- supervised learning from videos.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Depth estimation for colonoscopy images with self- supervised learning from videos

Reference 9

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This paper cites Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture

Reference 10

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This paper cites Depth map prediction from a single image using a multi-scale deep net- work.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Depth map prediction from a single image using a multi-scale deep net- work

Reference 11

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This paper cites Deep ordinal regression net- work for monocular depth estimation.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Deep ordinal regression net- work for monocular depth estimation

Reference 12

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This paper cites Unsupervised monocular depth estimation with left- right consistency.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Unsupervised monocular depth estimation with left- right consistency

Reference 13

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This paper cites Digging into self-supervised monocular depth estimation.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Digging into self-supervised monocular depth estimation

Reference 14

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This paper cites Improved training of wasserstein gans.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Improved training of wasserstein gans

Reference 15

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This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 16

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This paper cites 3d reconstruction of virtual colon structures from colonoscopy images.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors 3d reconstruction of virtual colon structures from colonoscopy images

Reference 17

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This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Arbitrary style transfer in real-time with adaptive instance normalization

Reference 18

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This paper cites Unsupervised monocular depth estima- tion for colonoscope system using feedback network.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Unsupervised monocular depth estima- tion for colonoscope system using feedback network

Reference 19

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This paper cites Fine- grained semantics-aware representation enhancement for self-supervised monocular depth estimation.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Fine- grained semantics-aware representation enhancement for self-supervised monocular depth estimation

Reference 20

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This paper cites A style-based generator architecture for generative adversarial networks.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors A style-based generator architecture for generative adversarial networks

Reference 21

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This paper cites Semi-supervised learning with deep gen- erative models.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Semi-supervised learning with deep gen- erative models

Reference 22

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This paper cites Syndistnet: Self-supervised monocular fisheye camera distance estima- tion synergized with semantic segmentation for autonomous driving.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Syndistnet: Self-supervised monocular fisheye camera distance estima- tion synergized with semantic segmentation for autonomous driving

Reference 23

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This paper cites Deeper depth prediction with fully convolutional residual networks.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Deeper depth prediction with fully convolutional residual networks

Reference 24

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Observation d72434c2-e598-41f1-b2d4-59f0678a1c5e · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 25

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This paper cites Depth and surface normal estimation from monocular images using regression on deep features and hi- erarchical crfs.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Depth and surface normal estimation from monocular images using regression on deep features and hi- erarchical crfs

Reference 26

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Observation f82a09d1-5697-4da7-86a2-b8344b9592a3 · outbound

This paper cites Deep attention-based classification net- work for robust depth prediction.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Deep attention-based classification net- work for robust depth prediction

Reference 27

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Observation 50c2e927-026c-4bef-8d96-b9559c4174fd · outbound

This paper cites Learning depth from single monocular images using deep convolutional neural fields.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Learning depth from single monocular images using deep convolutional neural fields

Reference 28

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This paper cites Self-supervised monocular depth estimation for gastrointestinal endoscopy.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Self-supervised monocular depth estimation for gastrointestinal endoscopy

Reference 29

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This paper cites Real-time 3d re- construction of colonoscopic surfaces for determining miss- ing regions.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Real-time 3d re- construction of colonoscopic surfaces for determining miss- ing regions

Reference 30

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This paper cites Deep learning and conditional random fields-based depth estimation and topo- graphical reconstruction from conventional endoscopy.Med- ical image analysis, 48:230–243, 2018.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Deep learning and conditional random fields-based depth estimation and topo- graphical reconstruction from conventional endoscopy.Med- ical image analysis, 48:230–243, 2018

Reference 31

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This paper cites Polyp segmentation and classification using predicted depth from monocular en- doscopy.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Polyp segmentation and classification using predicted depth from monocular en- doscopy

Reference 32

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This paper cites Monoprob: Self-supervised monocular depth estimation with interpretable uncertainty.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Monoprob: Self-supervised monocular depth estimation with interpretable uncertainty

Reference 33

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This paper cites A 3d measuring endoscope for hand-guided operation.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors A 3d measuring endoscope for hand-guided operation

Reference 34

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This paper cites SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth

Reference 35

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This paper cites Endoslam dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Endoslam dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos

Reference 36

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This paper cites On the uncertainty of self-supervised monocular depth estimation.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors On the uncertainty of self-supervised monocular depth estimation

Reference 37

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This paper cites Im- plicit domain adaptation with conditional generative adver- sarial networks for depth prediction in endoscopy.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Im- plicit domain adaptation with conditional generative adver- sarial networks for depth prediction in endoscopy

Reference 38

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This paper cites Simcol3d—3d reconstruction during colonoscopy challenge.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Simcol3d—3d reconstruction during colonoscopy challenge

Reference 39

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This paper cites Learning depth from monocular videos using direct methods.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Learning depth from monocular videos using direct methods

Reference 40

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This paper cites Learning-based depth and pose estimation for monocular endoscope with loss generalization.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Learning-based depth and pose estimation for monocular endoscope with loss generalization

Reference 41

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This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Depth anything: Unleashing the power of large-scale unlabeled data

Reference 42

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This paper cites D3vo: Deep depth, deep pose and deep uncer- tainty for monocular visual odometry.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors D3vo: Deep depth, deep pose and deep uncer- tainty for monocular visual odometry

Reference 43

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This paper cites Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

Reference 44

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This paper cites Lego: Learning edge with geometry all at once by watching videos.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Lego: Learning edge with geometry all at once by watching videos

Reference 45

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This paper cites Colonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions us- ing convolutional neural network.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Colonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions us- ing convolutional neural network

Reference 46

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This paper cites Lite-mono: A lightweight cnn and transformer architecture for self-supervised monocular depth estimation.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Lite-mono: A lightweight cnn and transformer architecture for self-supervised monocular depth estimation

Reference 47

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This paper cites Monovit: Self-supervised monocular depth estimation with a vision transformer.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Monovit: Self-supervised monocular depth estimation with a vision transformer

Reference 48

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