On the public citation graph

Deep convolutional neural fields for depth estimation from a single image

https://doi.org/10.1109/cvpr.2015.7299152

0 signed · 885 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-10593-2_39openalex-snapshot

Continuous Conditional Neural Fields for Structured Regression

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_35openalex-snapshot

Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics

inferredcites →https://doi.org/10.1007/978-3-642-15567-3_17openalex-snapshot

Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry

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/cvpr.2009.5206643openalex-snapshot

Building a database of 3D scenes from user annotations

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.2014.19openalex-snapshot

Pulling Things out of Perspective

inferredcites →https://doi.org/10.1109/cvpr.2014.97openalex-snapshot

Discrete-Continuous Depth Estimation from a Single Image

inferredcites →https://doi.org/10.1109/cvprw.2014.131openalex-snapshot

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

inferredcites →https://doi.org/10.1109/icpr.1994.576366openalex-snapshot

Performance evaluation of texture measures with classification based on Kullback discrimination of distributions

inferredcites →https://doi.org/10.1109/tpami.2008.132openalex-snapshot

Make3D: Learning 3D Scene Structure from a Single Still Image

inferredcites →https://doi.org/10.1109/tpami.2012.120openalex-snapshot

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

inferredcites →https://doi.org/10.1109/tpami.2014.2316835openalex-snapshot

Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1184/r1/6554765openalex-snapshot

Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces

inferredcites →https://doi.org/10.1609/aaai.v27i1.8685openalex-snapshot

Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs

inferredcites →https://doi.org/10.3233/978-1-60750-606-5-809openalex-snapshot

Continuous Conditional Random Fields for Regression in Remote Sensing

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.1406.2984openalex-snapshot

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot

Return of the Devil in the Details: Delving Deep into Convolutional Nets

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.4680443openalex-extracted

Autopilot Drone in Construction:A Proof of Concept for Handling Lightweight Instruments and Materials

inferred← citeshttps://doi.org/10.2139/ssrn.4855393openalex-extracted

Depth Estimation Through Sub-Pixel Laplacian Pyramid Network

inferred← citeshttps://doi.org/10.1002/nme.6385openalex-snapshot

Real‐time interaction of virtual and physical objects in mixed reality applications

inferred← citeshttps://doi.org/10.1007/978-3-030-00764-5_21openalex-snapshot

Viewpoint Quality Evaluation for Augmented Virtual Environment

inferred← citeshttps://doi.org/10.1007/978-3-030-00767-6_2openalex-snapshot

Depth Estimation from Monocular Images Using Dilated Convolution and Uncertainty Learning

inferred← citeshttps://doi.org/10.1007/978-3-030-01225-0_3openalex-snapshot

Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement

inferred← citeshttps://doi.org/10.1007/978-3-030-01228-1_3openalex-snapshot

DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency

inferred← citeshttps://doi.org/10.1007/978-3-030-01228-1_30openalex-snapshot

Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization

inferred← citeshttps://doi.org/10.1007/978-3-030-01249-6_42openalex-snapshot

Does Haze Removal Help CNN-Based Image Classification?

inferred← citeshttps://doi.org/10.1007/978-3-030-01258-8_31openalex-snapshot

Efficient Dense Point Cloud Object Reconstruction Using Deformation Vector Fields

inferred← citeshttps://doi.org/10.1007/978-3-030-01267-0_27openalex-snapshot

Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility

inferred← citeshttps://doi.org/10.1007/978-3-030-01267-0_4openalex-snapshot

Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss

inferred← citeshttps://doi.org/10.1007/978-3-030-01270-0_43openalex-snapshot

Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images

inferred← citeshttps://doi.org/10.1007/978-3-030-01270-0_7openalex-snapshot

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

inferred← citeshttps://doi.org/10.1007/978-3-030-01790-3_4openalex-snapshot

HDM-Net: Monocular Non-rigid 3D Reconstruction with Learned Deformation Model

inferred← citeshttps://doi.org/10.1007/978-3-030-02837-4_3openalex-snapshot

Road Perspective Depth Reconstruction from Single Images Using Reduce-Refine-Upsample CNNs

inferred← citeshttps://doi.org/10.1007/978-3-030-05755-8_42openalex-snapshot

Depth Prediction from Monocular Images with CGAN

inferred← citeshttps://doi.org/10.1007/978-3-030-11009-3_19openalex-snapshot

Deep Modular Network Architecture for Depth Estimation from Single Indoor Images

inferred← citeshttps://doi.org/10.1007/978-3-030-11012-3_21openalex-snapshot

Deep Fusion Network for Splicing Forgery Localization

inferred← citeshttps://doi.org/10.1007/978-3-030-11015-4_25openalex-snapshot

Evaluation of CNN-Based Single-Image Depth Estimation Methods

inferred← citeshttps://doi.org/10.1007/978-3-030-11015-4_52openalex-snapshot

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures

inferred← citeshttps://doi.org/10.1007/978-3-030-11021-5_43openalex-snapshot

Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding

inferred← citeshttps://doi.org/10.1007/978-3-030-17798-0_44openalex-snapshot

3M2RNet: Multi-Modal Multi-Resolution Refinement Network for Semantic Segmentation

inferred← citeshttps://doi.org/10.1007/978-3-030-19156-6_19openalex-snapshot

An Algorithm of Single Image Depth Estimation Based on MRF Model

inferred← citeshttps://doi.org/10.1007/978-3-030-20870-7_25openalex-snapshot

LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line Segments

inferred← citeshttps://doi.org/10.1007/978-3-030-20887-5_31openalex-snapshot

Deep Convolutional Compressed Sensing for LiDAR Depth Completion

inferred← citeshttps://doi.org/10.1007/978-3-030-20887-5_39openalex-snapshot

ENG: End-to-End Neural Geometry for Robust Depth and Pose Estimation Using CNNs

inferred← citeshttps://doi.org/10.1007/978-3-030-20890-5_24openalex-snapshot

A CNN-Based Depth Estimation Approach with Multi-scale Sub-pixel Convolutions and a Smoothness Constraint

inferred← citeshttps://doi.org/10.1007/978-3-030-21074-8_11openalex-snapshot

E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text

inferred← citeshttps://doi.org/10.1007/978-3-030-28603-3_2openalex-snapshot

Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation

inferred← citeshttps://doi.org/10.1007/978-3-030-29516-5_62openalex-snapshot

Shape Reconstruction from a Monocular Defocus Image Using CNN

inferred← citeshttps://doi.org/10.1007/978-3-030-30949-7_30openalex-snapshot

Residual Feature Pyramid Architecture for Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1007/978-3-030-41404-7_59openalex-snapshot

KIL: Knowledge Interactiveness Learning for Joint Depth Estimation and Semantic Segmentation

inferred← citeshttps://doi.org/10.1007/978-3-030-47358-7_4openalex-snapshot

Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity

inferred← citeshttps://doi.org/10.1007/978-3-030-49500-8_24openalex-snapshot

Auto-Colorization of Images: Fuzzy c-Means and SLIC Approaches

inferred← citeshttps://doi.org/10.1007/978-3-030-58542-6_4openalex-snapshot

3D Scene Reconstruction from a Single Viewport

inferred← citeshttps://doi.org/10.1007/978-3-030-58545-7_37openalex-snapshot

Occlusion-Aware Depth Estimation with Adaptive Normal Constraints

inferred← citeshttps://doi.org/10.1007/978-3-030-58545-7_38openalex-snapshot

VisualEchoes: Spatial Image Representation Learning Through Echolocation

inferred← citeshttps://doi.org/10.1007/978-3-030-58548-8_40openalex-snapshot

Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference and Application

inferred← citeshttps://doi.org/10.1007/978-3-030-58558-7_19openalex-snapshot

CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss

inferred← citeshttps://doi.org/10.1007/978-3-030-58583-9_5openalex-snapshot

Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding

inferred← citeshttps://doi.org/10.1007/978-3-030-58601-0_8openalex-snapshot

Non-local Spatial Propagation Network for Depth Completion

inferred← citeshttps://doi.org/10.1007/978-3-030-60337-3_26openalex-snapshot

Comparative Analysis of Approaches to Depth Map Generation for Robot Navigation

inferred← citeshttps://doi.org/10.1007/978-3-030-64002-6_3openalex-snapshot

Bottleneck Feature Extraction-Based Deep Neural Network Model for Facial Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-3-030-68787-8_19openalex-snapshot

MCCNet: Multi-Color Cascade Network with Weight Transfer for Single Image Depth Prediction on Outdoor Relief Images

inferred← citeshttps://doi.org/10.1007/978-3-030-74717-6_27openalex-snapshot

Geometric Surface Image Prediction for Image Recognition Enhancement

inferred← citeshttps://doi.org/10.1007/978-3-030-85030-2_38openalex-snapshot

Fast Depth Reconstruction Using Deep Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-95459-8_40openalex-snapshot

Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-96530-3_11openalex-snapshot

Deep Image Models

inferred← citeshttps://doi.org/10.1007/978-3-031-14903-0_27openalex-snapshot

Deep Complex Convolutional Neural Networks for Remote Sensing Image Classification

inferred← citeshttps://doi.org/10.1007/978-3-031-19812-0_33openalex-snapshot

RA-Depth: Resolution Adaptive Self-supervised Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1007/978-3-031-20071-7_3openalex-snapshot

Spike Transformer: Monocular Depth Estimation for Spiking Camera

inferred← citeshttps://doi.org/10.1007/978-3-031-23473-6_32openalex-snapshot

LiteAR: A Framework to Estimate Lighting for Mixed Reality Sessions for Enhanced Realism

inferred← citeshttps://doi.org/10.1007/978-3-031-25066-8_4openalex-snapshot

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report

inferred← citeshttps://doi.org/10.1007/978-3-031-26431-3_15openalex-snapshot

Depth Estimation of Traffic Scenes from Image Sequence Using Deep Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-94445-1_12openalex-snapshot

Optical Lens Attack on Deep Learning Based Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1007/978-3-032-31666-0_23openalex-snapshot

FuseDPT: Multi-scale and Multi-Projection Model for Learning Depth in 360 Degree

inferred← citeshttps://doi.org/10.1007/978-3-032-37531-5_25openalex-snapshot

Boosting 6D Object Pose Estimation via Monocular Depth Cues

inferred← citeshttps://doi.org/10.1007/978-3-319-46454-1_52openalex-snapshot

Search-Based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference

inferred← citeshttps://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

inferred← citeshttps://doi.org/10.1007/978-3-319-46484-8_38openalex-snapshot

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-319-46484-8_9openalex-snapshot

Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields

inferred← citeshttps://doi.org/10.1007/978-3-319-46487-9_30openalex-snapshot

Fine-Scale Surface Normal Estimation Using a Single NIR Image

inferred← citeshttps://doi.org/10.1007/978-3-319-46493-0_51openalex-snapshot

Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-319-46604-0_47openalex-snapshot

Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition

inferred← citeshttps://doi.org/10.1007/978-3-319-49409-8_62openalex-snapshot

Learning Local Convolutional Features for Face Recognition with 2D-Warping

inferred← citeshttps://doi.org/10.1007/978-3-319-50115-4_41openalex-snapshot

Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion

inferred← citeshttps://doi.org/10.1007/978-3-319-54427-4_1openalex-snapshot

3D Shape Reconstruction in Traffic Scenarios Using Monocular Camera and Lidar

inferred← citeshttps://doi.org/10.1007/978-3-319-54427-4_7openalex-snapshot

Monocular Depth Estimation of Outdoor Scenes Using RGB-D Datasets

inferred← citeshttps://doi.org/10.1007/978-3-319-59126-1_13openalex-snapshot

Structure from Motion by Artificial Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-319-70833-1_53openalex-snapshot

How to Transfer a Semantic Segmentation Model from Autonomous Driving to Other Domains?

inferred← citeshttps://doi.org/10.1007/978-3-319-73603-7_19openalex-snapshot

Font Recognition in Natural Images via Transfer Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-77383-4_2openalex-snapshot

Indoor Scene Classification by Incorporating Predicted Depth Descriptor

inferred← citeshttps://doi.org/10.1007/978-3-319-95930-6_46openalex-snapshot

Chinese Text Detection Using Deep Learning Model and Synthetic Data

inferred← citeshttps://doi.org/10.1007/978-3-319-98678-4_38openalex-snapshot

A Hybrid CNN Approach for Single Image Depth Estimation: A Case Study

inferred← citeshttps://doi.org/10.1007/978-3-319-99885-5_10openalex-snapshot

Improving the 3D Perception of the Pepper Robot Using Depth Prediction from Monocular Frames

inferred← citeshttps://doi.org/10.1007/978-981-13-0761-4_102openalex-snapshot

Review of Deep Learning Techniques for Gender Classification in Images

inferred← citeshttps://doi.org/10.1007/978-981-13-8618-3_27openalex-snapshot

A Comparative Study of 2D-to-3D Reconstruction Techniques

inferred← citeshttps://doi.org/10.1007/978-981-15-0644-4_94openalex-snapshot

An Improved Convolutional Neural Network for Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1007/978-981-15-7078-0_70openalex-snapshot

Classification of Satellite Images

inferred← citeshttps://doi.org/10.1007/978-981-32-9291-8_26openalex-snapshot

Indoor–Outdoor Scene Classification with Residual Convolutional Neural Network

inferred← citeshttps://doi.org/10.1007/978-981-96-5607-3_34openalex-snapshot

Converting 2D Images to Point Cloud Using Depth Estimation

inferred← citeshttps://doi.org/10.1007/978-981-97-0376-0_23openalex-snapshot

REAL-NET: A Monochromatic Depth Estimation Using REgional Attention and Local Feature Mapping

inferred← citeshttps://doi.org/10.1007/978-981-97-2095-8_1openalex-snapshot

PIFu for the Real World: A Self-supervised Framework to Reconstruct Dressed Human from Single-View Images

inferred← citeshttps://doi.org/10.1007/978-981-97-4152-6_12openalex-snapshot

Review of Various Neural Style Transfer Methods: A Comparative Study

inferred← citeshttps://doi.org/10.1007/978-981-97-6915-5_5openalex-snapshot

Toward Large-Scale Plenoptic Reconstruction

inferred← citeshttps://doi.org/10.1007/978-981-99-5439-1_7openalex-snapshot

3D Scene Perception for Autonomous Driving

inferred← citeshttps://doi.org/10.1007/978-981-99-6501-4_34openalex-snapshot

L-EfficientUNet: Lightweight End-to-End Monocular Depth Estimation for Mobile Robots

inferred← citeshttps://doi.org/10.1007/s00138-019-01030-yopenalex-snapshot

Depth texture synthesis for high-resolution reconstruction of large scenes

inferred← citeshttps://doi.org/10.1007/s00138-020-01162-6openalex-snapshot

Deblur and deep depth from single defocus image

inferred← citeshttps://doi.org/10.1007/s00138-022-01308-8openalex-snapshot

Adversarial structured prediction for domain-adaptive semantic segmentation

inferred← citeshttps://doi.org/10.1007/s00138-023-01426-xopenalex-snapshot

Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion

inferred← citeshttps://doi.org/10.1007/s00138-024-01640-1openalex-snapshot

Self-supervised monocular depth estimation via joint attention and intelligent mask loss

inferred← citeshttps://doi.org/10.1007/s00371-019-01740-4openalex-snapshot

3D human pose estimation by depth map

inferred← citeshttps://doi.org/10.1007/s00371-020-01832-6openalex-snapshot

A self-supervised method of single-image depth estimation by feeding forward information using max-pooling layers

inferred← citeshttps://doi.org/10.1007/s00371-020-01916-3openalex-snapshot

Shading-aware shadow detection and removal from a single image

inferred← citeshttps://doi.org/10.1007/s00371-022-02409-1openalex-snapshot

Spatio-temporal analysis and comparison of 3D videos

inferred← citeshttps://doi.org/10.1007/s00371-024-03371-wopenalex-snapshot

A novel approach for improving open scene text translation with modified GAN

inferred← citeshttps://doi.org/10.1007/s00521-019-04559-1openalex-snapshot

Gated multimodal networks

inferred← citeshttps://doi.org/10.1007/s00521-022-07663-xopenalex-snapshot

Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting

inferred← citeshttps://doi.org/10.1007/s10044-023-01205-4openalex-snapshot

EMTNet: efficient mobile transformer network for real-time monocular depth estimation

inferred← citeshttps://doi.org/10.1007/s11042-018-6694-xopenalex-snapshot

Depth map prediction from a single image with generative adversarial nets

inferred← citeshttps://doi.org/10.1007/s11042-020-09474-5openalex-snapshot

Computational attention model for children, adults and the elderly

inferred← citeshttps://doi.org/10.1007/s11042-021-10793-4openalex-snapshot

Scene change detection: semantic and depth information

inferred← citeshttps://doi.org/10.1007/s11042-021-11212-4openalex-snapshot

Transferring knowledge from monocular completion for self-supervised monocular depth estimation

inferred← citeshttps://doi.org/10.1007/s11042-021-11500-zopenalex-snapshot

Self-distillation framework for indoor and outdoor monocular depth estimation

inferred← citeshttps://doi.org/10.1007/s11042-022-12301-8openalex-snapshot

Monocular depth estimation with multi-view attention autoencoder

inferred← citeshttps://doi.org/10.1007/s11042-022-13224-0openalex-snapshot

Face attribute analysis from structured light: an end-to-end approach

inferred← citeshttps://doi.org/10.1007/s11063-020-10226-7openalex-snapshot

RSDCN: A Road Semantic Guided Sparse Depth Completion Network

inferred← citeshttps://doi.org/10.1007/s11063-022-10780-2openalex-snapshot

Single Image Based Three-Dimensional Scene Reconstruction Using Semantic and Geometric Priors

inferred← citeshttps://doi.org/10.1007/s11063-022-10812-xopenalex-snapshot

Triaxial Squeeze Attention Module and Mutual-Exclusion Loss Based Unsupervised Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1007/s11063-023-11224-1openalex-snapshot

Eliminating Scale Ambiguity of Unsupervised Monocular Visual Odometry

inferred← citeshttps://doi.org/10.1007/s11063-024-11524-0openalex-snapshot

PCTDepth: Exploiting Parallel CNNs and Transformer via Dual Attention for Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1007/s11227-022-04611-3openalex-snapshot

Exploiting vulnerability of convolutional neural network-based gait recognition system

inferred← citeshttps://doi.org/10.1007/s11227-023-05359-0openalex-snapshot

Car depth estimation within a monocular image using a light CNN

inferred← citeshttps://doi.org/10.1007/s11227-024-06388-zopenalex-snapshot

Tl-depth: monocular depth estimation based on tower connections and Laplacian-filtering residual completion

inferred← citeshttps://doi.org/10.1007/s11263-020-01369-0openalex-snapshot

Scene Text Detection and Recognition: The Deep Learning Era

inferred← citeshttps://doi.org/10.1007/s11263-022-01620-wopenalex-snapshot

Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior

inferred← citeshttps://doi.org/10.1007/s11265-022-01742-xopenalex-snapshot

A Meta-Heuristic Optimization Based Less Imperceptible Adversarial Attack on Gait Based Surveillance Systems

inferred← citeshttps://doi.org/10.1007/s11277-022-10074-9openalex-snapshot

OptiDepthNet: A Real-Time Unsupervised Monocular Depth Estimation Network

inferred← citeshttps://doi.org/10.1007/s11277-024-11174-4openalex-snapshot

An Improved Activation Function in Convolution Neural Network to Estimate the Hazardous Air Pollutant Based on Images

inferred← citeshttps://doi.org/10.1007/s11390-017-1735-xopenalex-snapshot

Temporally Consistent Depth Map Prediction Using Deep Convolutional Neural Network and Spatial-Temporal Conditional Random Field

inferred← citeshttps://doi.org/10.1007/s11431-021-1948-3openalex-snapshot

Semisupervised learning-based depth estimation with semantic inference guidance

inferred← citeshttps://doi.org/10.1007/s11554-020-01036-0openalex-snapshot

Real-time monocular depth estimation with adaptive receptive fields

inferred← citeshttps://doi.org/10.1007/s11760-024-03491-9openalex-snapshot

Dense depth alignment for human pose and shape estimation

inferred← citeshttps://doi.org/10.1007/s11760-026-05242-4openalex-snapshot

MFF-3D: multiscale feature fusion based monocular 3D object detection

inferred← citeshttps://doi.org/10.1007/s11802-026-6066-5openalex-snapshot

Enhancing Underwater Monocular Depth Estimation with Lpg-Lap Unet for Target Tracking Mission

inferred← citeshttps://doi.org/10.1007/s13042-018-0891-9openalex-snapshot

Depth estimation from infrared video using local-feature-flow neural network

inferred← citeshttps://doi.org/10.1007/s13042-020-01164-wopenalex-snapshot

Discrete convolutional CRF networks for depth estimation from monocular infrared images

inferred← citeshttps://doi.org/10.1007/s13042-020-01251-yopenalex-snapshot

Attention-based context aggregation network for monocular depth estimation

inferred← citeshttps://doi.org/10.1007/s13042-023-01887-6openalex-snapshot

Structured deep learning based object-specific distance estimation from a monocular image

inferred← citeshttps://doi.org/10.1007/s13198-024-02431-7openalex-snapshot

Optimizing depth estimation with attention U-Net

inferred← citeshttps://doi.org/10.1007/s13319-018-0184-9openalex-snapshot

Automatic Depth Prediction from 2D Videos Based on Non-parametric Learning and Bi-directional Depth Propagation

inferred← citeshttps://doi.org/10.1007/s13349-026-01075-4openalex-snapshot

Monocular depth estimation and 3D reconstruction for defects in sewer pipelines

inferred← citeshttps://doi.org/10.1007/s13369-020-04850-7openalex-snapshot

Urban 3D Structure Reconstruction Through a Generative Adversarial Network Model

inferred← citeshttps://doi.org/10.1007/s41095-020-0199-zopenalex-snapshot

RGB-D salient object detection: A survey

inferred← citeshttps://doi.org/10.1007/s41095-023-0358-0openalex-snapshot

Deep panoramic depth prediction and completion for indoor scenes

inferred← citeshttps://doi.org/10.1007/s44244-023-00005-3openalex-snapshot

On the robustness of vision transformers for in-flight monocular depth estimation

inferred← citeshttps://doi.org/10.1016/j.aquaeng.2023.102367openalex-snapshot

Aqua3DNet: Real-time 3D pose estimation of livestock in aquaculture by monocular machine vision

inferred← citeshttps://doi.org/10.1016/j.ast.2020.106199openalex-snapshot

Monocular vision based obstacle avoidance trajectory planning for Unmanned Aerial Vehicle

inferred← citeshttps://doi.org/10.1016/j.buildenv.2019.04.035openalex-snapshot

Quantifying legibility of indoor spaces using Deep Convolutional Neural Networks: Case studies in train stations

inferred← citeshttps://doi.org/10.1016/j.cag.2017.11.005openalex-snapshot

Depth annotations: Designing depth of a single image for depth-based effects

inferred← citeshttps://doi.org/10.1016/j.compfluid.2022.105312openalex-snapshot

A deep learning approach for the transonic flow field predictions around airfoils

inferred← citeshttps://doi.org/10.1016/j.cviu.2017.03.007openalex-snapshot

Superpixels: An evaluation of the state-of-the-art

inferred← citeshttps://doi.org/10.1016/j.cviu.2019.102877openalex-snapshot

Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset

inferred← citeshttps://doi.org/10.1016/j.cviu.2023.103726openalex-snapshot

Improving the planarity and sharpness of monocularly estimated depth images using the Phong reflection model

inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104048openalex-snapshot

Self-supervised monocular depth estimation with self-distillation and dense skip connection

inferred← citeshttps://doi.org/10.1016/j.cviu.2025.104620openalex-snapshot

Human-in-the-loop RGB semantic segmentation for intuitive teaching of novel grasping tasks via few-shot adaptation of lightweight neural networks

inferred← citeshttps://doi.org/10.1016/j.displa.2022.102298openalex-snapshot

Overview of deep learning application on visual SLAM

inferred← citeshttps://doi.org/10.1016/j.displa.2025.103104openalex-snapshot

LightNet: A lightweight monocular depth estimation for high-level guidance and channel re-alignment optimization (ChinaMM)

inferred← citeshttps://doi.org/10.1016/j.dsp.2022.103441openalex-snapshot

Single image depth estimation: An overview

inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104488openalex-snapshot

Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.105989openalex-snapshot

A geometry-aware deep network for depth estimation in monocular endoscopy

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108277openalex-snapshot

Bridging local and global representations for self-supervised monocular depth estimation

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112337openalex-snapshot

Complete information extraction for monocular depth estimation using a dual framework

inferred← citeshttps://doi.org/10.1016/j.eswa.2017.05.037openalex-snapshot

Age and gender classification from speech and face images by jointly fine-tuned deep neural networks

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114877openalex-snapshot

Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115090openalex-snapshot

DSANet: Dilated spatial attention for real-time semantic segmentation in urban street scenes

inferred← citeshttps://doi.org/10.1016/j.future.2018.01.001openalex-snapshot

Low illumination underwater light field images reconstruction using deep convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.gmod.2025.101281openalex-snapshot

DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments

inferred← citeshttps://doi.org/10.1016/j.ifacol.2018.11.222openalex-snapshot

Path Control of Quadruped Robot through Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1016/j.ijleo.2018.12.061openalex-snapshot

Depth prediction from a single image based on non-parametric learning in the gradient domain

inferred← citeshttps://doi.org/10.1016/j.image.2018.04.011openalex-snapshot

Locating splicing forgery by fully convolutional networks and conditional random field

inferred← citeshttps://doi.org/10.1016/j.image.2019.07.007openalex-snapshot

Unsupervised learning of depth estimation based on attention model and global pose optimization

inferred← citeshttps://doi.org/10.1016/j.imavis.2020.103934openalex-snapshot

Monocular depth estimation with SPN loss

inferred← citeshttps://doi.org/10.1016/j.infrared.2022.104507openalex-snapshot

City-scale distance estimation via near-infrared trispectral light extinction in bad weather

inferred← citeshttps://doi.org/10.1016/j.ins.2017.08.035openalex-snapshot

Multi-task learning for dangerous object detection in autonomous driving

inferred← citeshttps://doi.org/10.1016/j.isatra.2022.11.016openalex-snapshot

An autonomous decision-making framework for gait recognition systems against adversarial attack using reinforcement learning

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.03.024openalex-snapshot

Self-supervised monocular depth estimation from oblique UAV videos

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.11.001openalex-snapshot

Joint learning of frequency and spatial domains for dense image prediction

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.06.035openalex-snapshot

SinkSAM-Net: Knowledge-driven self-supervised sinkhole segmentation using topographic priors and Segment Anything Model

inferred← citeshttps://doi.org/10.1016/j.jag.2024.103753openalex-snapshot

Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception

inferred← citeshttps://doi.org/10.1016/j.jappgeo.2026.106398openalex-snapshot

An asymmetric multi-level Fourier Neural Operator for efficient elastic waveform inversion

inferred← citeshttps://doi.org/10.1016/j.jcp.2020.109456openalex-snapshot

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

inferred← citeshttps://doi.org/10.1016/j.jestch.2024.101705openalex-snapshot

Sparse Transformer-based bins and Polarized Cross Attention decoder for monocular depth estimation

inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102226openalex-snapshot

Real-time semantic segmentation for autonomous driving: A review of CNNs, Transformers, and Beyond

inferred← citeshttps://doi.org/10.1016/j.jmsy.2022.01.012openalex-snapshot

Real-time occlusion handling for augmented reality assistance assembly systems with monocular images

inferred← citeshttps://doi.org/10.1016/j.jvcir.2016.08.022openalex-snapshot

Convolutional neural network based deep conditional random fields for stereo matching

inferred← citeshttps://doi.org/10.1016/j.jvcir.2016.10.008openalex-snapshot

Gaussian-Hermite moment-based depth estimation from single still image for stereo vision

inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.12.034openalex-snapshot

A deep generative directed network for scene depth ordering

inferred← citeshttps://doi.org/10.1016/j.jvcir.2022.103459openalex-snapshot

Single-image depth estimation using relative depths

inferred← citeshttps://doi.org/10.1016/j.jvcir.2025.104413openalex-snapshot

Self-supervised monocular depth estimation with large kernel attention and dynamic scene perception

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110308openalex-snapshot

DSC-MDE: Dual structural contexts for monocular depth estimation

inferred← citeshttps://doi.org/10.1016/j.media.2021.102100openalex-snapshot

RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy

inferred← citeshttps://doi.org/10.1016/j.neucom.2016.06.029openalex-snapshot

Depth estimation with convolutional conditional random field network

inferred← citeshttps://doi.org/10.1016/j.neucom.2017.08.074openalex-snapshot

Monocular depth estimation with guidance of surface normal map

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.07.008openalex-snapshot

FCN based preprocessing for exemplar-based face sketch synthesis

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.10.107openalex-snapshot

Unsupervised depth estimation from monocular videos with hybrid geometric-refined loss and contextual attention

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.12.049openalex-snapshot

Unsupervised framework for depth estimation and camera motion prediction from video

inferred← citeshttps://doi.org/10.1016/j.neucom.2020.05.015openalex-snapshot

Unsupervised detail-preserving network for high quality monocular depth estimation

inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.025openalex-snapshot

Self-supervised monocular depth estimation with direct methods

inferred← citeshttps://doi.org/10.1016/j.neucom.2020.12.089openalex-snapshot

Deep learning for monocular depth estimation: A review

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.01.086openalex-snapshot

Real-time semantic segmentation via sequential knowledge distillation

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.01.126openalex-snapshot

SOSD-Net: Joint semantic object segmentation and depth estimation from monocular images

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.05.089openalex-snapshot

RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimation

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127668openalex-snapshot

RCDformer: Transformer-based dense depth estimation by sparse radar and camera

inferred← citeshttps://doi.org/10.1016/j.optlaseng.2021.106639openalex-snapshot

Three-dimensional Shape Reconstruction from Single-shot Speckle Image Using Deep Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1016/j.paerosci.2020.100617openalex-snapshot

Advances in intelligent and autonomous navigation systems for small UAS

inferred← citeshttps://doi.org/10.1016/j.patcog.2015.04.019openalex-snapshot

CRF learning with CNN features for image segmentation

inferred← citeshttps://doi.org/10.1016/j.patcog.2017.07.027openalex-snapshot

Learning to refine depth for robust stereo estimation

showing the first 200 of 865 · page through all 865

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.