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HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion

https://doi.org/10.4230/oasics.asd.2019.8

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01267-0_17openalex-snapshot

Conditional Prior Networks for Optical Flow

inferredcites →https://doi.org/10.1007/978-3-030-01270-0_7openalex-snapshot

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

inferredcites →https://doi.org/10.1007/978-3-030-20887-5_31openalex-snapshot

Deep Convolutional Compressed Sensing for LiDAR Depth Completion

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot

U-Net: Convolutional Networks for Biomedical Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-45886-1_4openalex-snapshot

Semantically Guided Depth Upsampling

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot

Stacked Hourglass Networks for Human Pose Estimation

inferredcites →https://doi.org/10.1007/978-3-319-46487-9_22openalex-snapshot

Depth Map Super-Resolution by Deep Multi-Scale Guidance

inferredcites →https://doi.org/10.1007/978-3-319-46487-9_38openalex-snapshot

The Fast Bilateral Solver

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_10openalex-snapshot

Deep Joint Image Filtering

inferredcites →https://doi.org/10.1007/978-3-642-33712-3_6openalex-snapshot

Patch Based Synthesis for Single Depth Image Super-Resolution

inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot

Indoor Segmentation and Support Inference from RGBD Images

inferredcites →https://doi.org/10.1109/3dtv.2011.5877202openalex-snapshot

Temporal filtering for depth maps generated by Kinect depth camera

inferredcites →https://doi.org/10.1109/3dv.2016.32openalex-snapshot

Deeper Depth Prediction with Fully Convolutional Residual Networks

inferredcites →https://doi.org/10.1109/3dv.2017.00012openalex-snapshot

Sparsity Invariant CNNs

inferredcites →https://doi.org/10.1109/3dv.2018.00017openalex-snapshot

Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation

inferredcites →https://doi.org/10.1109/crv.2018.00013openalex-snapshot

In Defense of Classical Image Processing: Fast Depth Completion on the CPU

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.353openalex-snapshot

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes

inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-snapshot

Pyramid Scene Parsing Network

inferredcites →https://doi.org/10.1109/cvpr.2018.00026openalex-snapshot

Deep Depth Completion of a Single RGB-D Image

inferredcites →https://doi.org/10.1109/cvpr.2018.00908openalex-snapshot

SBNet: Sparse Blocks Network for Fast Inference

inferredcites →https://doi.org/10.1109/cvpr.2019.00343openalex-snapshot

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image

inferredcites →https://doi.org/10.1109/cvpr.2019.00347openalex-snapshot

Dense Depth Posterior (DDP) From Single Image and Sparse Range

inferredcites →https://doi.org/10.1109/iccv.2013.127openalex-snapshot

Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation

inferredcites →https://doi.org/10.1109/iccv.2015.66openalex-snapshot

Variational Depth Superresolution Using Example-Based Edge Representations

inferredcites →https://doi.org/10.1109/icra.2017.7989590openalex-snapshot

Parse geometry from a line: Monocular depth estimation with partial laser observation

inferredcites →https://doi.org/10.1109/icra.2018.8460184openalex-snapshot

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

inferredcites →https://doi.org/10.1109/icra.2019.8793637openalex-snapshot

Self-Supervised Sparse-to-Dense: Self-Supervised Depth Completion from LiDAR and Monocular Camera

inferredcites →https://doi.org/10.1109/ivs.2017.7995966openalex-snapshot

Efficient ConvNet for real-time semantic segmentation

inferredcites →https://doi.org/10.1109/tbc.2018.2818405openalex-snapshot

Global Auto-Regressive Depth Recovery via Iterative Non-Local Filtering

inferredcites →https://doi.org/10.1109/tip.2014.2329776openalex-snapshot

Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model

inferredcites →https://doi.org/10.1109/tip.2015.2501749openalex-snapshot

Edge-Guided Single Depth Image Super Resolution

inferredcites →https://doi.org/10.1109/tip.2018.2832296openalex-snapshot

Learning Depth From Single Images With Deep Neural Network Embedding Focal Length

inferredcites →https://doi.org/10.1109/tip.2018.2887029openalex-snapshot

Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution

inferredcites →https://doi.org/10.1109/tmm.2015.2457678openalex-snapshot

Joint Super Resolution and Denoising From a Single Depth Image

inferredcites →https://doi.org/10.1109/tpami.2019.2929170openalex-snapshot

Confidence Propagation through CNNs for Guided Sparse Depth Regression

inferredcites →https://doi.org/10.1117/12.911909openalex-snapshot

Efficient spatio-temporal hole filling strategy for Kinect depth maps

inferredcites →https://doi.org/10.1137/1109020openalex-snapshot

On Estimating Regression

inferredcites →https://doi.org/10.23919/mva.2019.8757939openalex-snapshot

Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1406.2283openalex-snapshot

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

inferredcites →https://doi.org/10.48550/arxiv.1607.07988openalex-snapshot

ATGV-Net: Accurate Depth Super-Resolution

inferredcites →https://doi.org/10.48550/arxiv.1805.11913openalex-snapshot

Propagating Confidences through CNNs for Sparse Data Regression

inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4674258openalex-extracted

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125939openalex-snapshot

AGSPN: Efficient attention-gated spatial propagation network for depth completion

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110618openalex-snapshot

Self-ensembling depth completion via density-aware consistency

inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00296openalex-snapshot

Real-Time Depth Estimation with an Optimized Encoder-Decoder Architecture on Embedded Devices

inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196628openalex-snapshot

LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917294openalex-snapshot

DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion

inferred← citeshttps://doi.org/10.1109/pdp50117.2020.00043openalex-snapshot

A GPU enhanced LIDAR Perception System for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1145/3387168.3387230openalex-snapshot

Sparse-to-Dense Depth Completion in Precision Farming

inferred← citeshttps://doi.org/10.36227/techrxiv.24014946openalex-snapshot

Bridging the Gap Between Indoor Depth Completion and Masked Autoencoders

inferred← citeshttps://doi.org/10.48550/arxiv.1901.10034openalex-snapshot

Dense Depth Posterior (DDP) from Single Image and Sparse Range

inferred← citeshttps://doi.org/10.48550/arxiv.1907.10148openalex-snapshot

Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction

inferred← citeshttps://doi.org/10.48550/arxiv.2003.09175openalex-snapshot

3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image

inferred← citeshttps://doi.org/10.48550/arxiv.2003.10138openalex-snapshot

Depth Edge Guided CNNs for Sparse Depth Upsampling

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