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Multiscale and multidirection depth map super resolution with semantic inference
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-03731-8_38openalex-snapshot
Guided Depth Enhancement via Anisotropic Diffusion
inferredcites →https://doi.org/10.1016/0167-8655(87)90013-4openalex-snapshot
Feature detection from local energy
inferredcites →https://doi.org/10.1016/j.image.2014.01.011openalex-snapshot
Joint-adaptive bilateral depth map upsampling
inferredcites →https://doi.org/10.1023/a:1011174803800openalex-snapshot
Contour and Texture Analysis for Image Segmentation
inferredcites →https://doi.org/10.1038/381607a0openalex-snapshot
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
inferredcites →https://doi.org/10.1098/rspb.1988.0073openalex-snapshot
Feature detection in human vision: a phase-dependent energy model
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/cvpr.2007.383248openalex-snapshot
Evaluation of Cost Functions for Stereo Matching
inferredcites →https://doi.org/10.1109/cvpr.2009.5206804openalex-snapshot
LidarBoost: Depth superresolution for ToF 3D shape scanning
inferredcites →https://doi.org/10.1109/cvpr.2010.5539823openalex-snapshot
Single image depth estimation from predicted semantic labels
inferredcites →https://doi.org/10.1109/cvpr.2013.29openalex-snapshot
Joint Geodesic Upsampling of Depth Images
inferredcites →https://doi.org/10.1109/cvpr.2015.7298897openalex-snapshot
Towards unified depth and semantic prediction from a single image
inferredcites →https://doi.org/10.1109/cvpr12618.2008openalex-snapshot
2008 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr20399.2014openalex-snapshot
2014 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr31182.2015openalex-snapshot
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/cvpr35066.2017openalex-snapshot
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01313openalex-snapshot
The Edge of Depth: Explicit Constraints Between Segmentation and Depth
inferredcites →https://doi.org/10.1109/cvprworkshops15504.2009openalex-snapshot
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
inferredcites →https://doi.org/10.1109/icassp.2019.8683638openalex-snapshot
Multiscale Directional Fusion for Depth Map Super Resolution with Denoising
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/iccv17851.2011openalex-snapshot
2011 International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/icip10338.2007openalex-snapshot
2007 IEEE International Conference on Image Processing
inferredcites →https://doi.org/10.1109/icip38660.2017openalex-snapshot
2017 IEEE International Conference on Image Processing (ICIP)
inferredcites →https://doi.org/10.1109/icme18063.2011openalex-snapshot
2011 IEEE International Conference on Multimedia and Expo
inferredcites →https://doi.org/10.1109/icmew.2012.111openalex-snapshot
Depth Map Super-Resolution Using Synthesized View Matching for Depth-Image-Based Rendering
inferredcites →https://doi.org/10.1109/icmew.2015.7169851openalex-snapshot
Single depth image super resolution via a dual sparsity model
inferredcites →https://doi.org/10.1109/jsen.2022.3176669openalex-snapshot
Depth Map Super Resolution Using Structure-Preserving Guided Filtering
inferredcites →https://doi.org/10.1109/tcsvt.2013.2278160openalex-snapshot
Reliability-Based Multiview Depth Enhancement Considering Interview Coherence
inferredcites →https://doi.org/10.1109/tcsvt.2016.2609438openalex-snapshot
Explicit Edge Inconsistency Evaluation Model for Color-Guided Depth Map Enhancement
inferredcites →https://doi.org/10.1109/tip.2004.834669openalex-snapshot
Fast and Robust Multiframe Super Resolution
inferredcites →https://doi.org/10.1109/tip.2005.859376openalex-snapshot
The contourlet transform: an efficient directional multiresolution image representation
inferredcites →https://doi.org/10.1109/tip.2006.877507openalex-snapshot
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
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.2016.2612826openalex-snapshot
Robust Color Guided Depth Map Restoration
inferredcites →https://doi.org/10.1109/tip.2017.2656463openalex-snapshot
Depth Map Super-Resolution Considering View Synthesis Quality
inferredcites →https://doi.org/10.1109/tip.2018.2806089openalex-snapshot
Depth Super-Resolution From RGB-D Pairs With Transform and Spatial Domain Regularization
inferredcites →https://doi.org/10.1109/tip.2018.2875506openalex-snapshot
Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations
inferredcites →https://doi.org/10.1109/tmm.2016.2613824openalex-snapshot
Color-Guided Depth Recovery via Joint Local Structural and Nonlocal Low-Rank Regularization
inferredcites →https://doi.org/10.1109/tmm.2019.2941776openalex-snapshot
Contextualized CNN for Scene-Aware Depth Estimation From Single RGB Image
inferredcites →https://doi.org/10.1109/tmm.2019.2946075openalex-snapshot
Multi-Direction Dictionary Learning Based Depth Map Super-Resolution With Autoregressive Modeling
inferredcites →https://doi.org/10.1109/tpami.2003.1217603openalex-snapshot
Advances in computational stereo
inferredcites →https://doi.org/10.1109/tpami.2010.172openalex-snapshot
Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/tpami.2020.2984244openalex-snapshot
Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion
inferredcites →https://doi.org/10.1109/wcsp19226.2011openalex-snapshot
2011 International Conference on Wireless Communications and Signal Processing (WCSP)
inferredcites →https://doi.org/10.1111/j.1467-8659.2011.02041.xopenalex-snapshot
Exposure Fusion for Time‐Of‐Flight Imaging
inferredcites →https://doi.org/10.1113/jphysiol.1962.sp006837openalex-snapshot
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
inferredcites →https://doi.org/10.2307/2153507openalex-snapshot
Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods.
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.4855393openalex-extracted
Depth Estimation Through Sub-Pixel Laplacian Pyramid Network
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