On the public citation graph
InDepth
0 signed · 84 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-28603-3openalex-snapshot
RGB-D Image Analysis and Processing
inferredcites →https://doi.org/10.1007/978-3-030-58592-1_40openalex-snapshot
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality
inferredcites →https://doi.org/10.1007/978-3-319-03731-8_38openalex-snapshot
Guided Depth Enhancement via Anisotropic Diffusion
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/10.1007/978-3-319-46487-9_17openalex-snapshot
ATGV-Net: Accurate Depth Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_38openalex-snapshot
The Fast Bilateral Solver
inferredcites →https://doi.org/10.1007/978-3-642-13408-1_20openalex-snapshot
Image and Sparse Laser Fusion for Dense Scene Reconstruction
inferredcites →https://doi.org/10.1007/s00138-017-0831-9openalex-snapshot
Image-guided ToF depth upsampling: a survey
inferredcites →https://doi.org/10.1007/s10278-019-00272-6openalex-snapshot
A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation
inferredcites →https://doi.org/10.1016/j.cviu.2016.09.007openalex-snapshot
Large-scale outdoor 3D reconstruction on a mobile device
inferredcites →https://doi.org/10.1016/j.dsp.2016.11.001openalex-snapshot
CDMA-based acoustic local positioning system for portable devices with multipath cancellation
inferredcites →https://doi.org/10.1016/j.measurement.2015.03.042openalex-snapshot
Metrological comparison between Kinect I and Kinect II sensors
inferredcites →https://doi.org/10.1016/j.neucom.2020.12.089openalex-snapshot
Deep learning for monocular depth estimation: A review
inferredcites →https://doi.org/10.1016/j.patcog.2015.09.023openalex-snapshot
Generation of fiducial marker dictionaries using Mixed Integer Linear Programming
inferredcites →https://doi.org/10.1016/j.patcog.2020.107274openalex-snapshot
Depth upsampling based on deep edge-aware learning
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.2017.00081openalex-snapshot
Matterport3D: Learning from RGB-D Data in Indoor Environments
inferredcites →https://doi.org/10.1109/access.2019.2933987openalex-snapshot
Hand Gesture Recognition Based on Active Ultrasonic Sensing of Smartphone: A Survey
inferredcites →https://doi.org/10.1109/cvpr.2007.383211openalex-snapshot
Spatial-Depth Super Resolution for Range Images
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2015.7298655openalex-snapshot
SUN RGB-D: A RGB-D scene understanding benchmark suite
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.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
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/cvpr42600.2020.00054openalex-snapshot
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00945openalex-snapshot
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2019.00578openalex-snapshot
Enforcing Geometric Constraints of Virtual Normal for Depth Prediction
inferredcites →https://doi.org/10.1109/icnp.2018.00011openalex-snapshot
DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing
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/icra48506.2021.9561035openalex-snapshot
PENet: Towards Precise and Efficient Image Guided Depth Completion
inferredcites →https://doi.org/10.1109/icra48506.2021.9561174openalex-snapshot
Robust Monocular Visual-Inertial Depth Completion for Embedded Systems
inferredcites →https://doi.org/10.1109/ipsn48710.2020.00-26openalex-snapshot
CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality
inferredcites →https://doi.org/10.1109/ismar-adjunct51615.2020.00054openalex-snapshot
Design preferences on Industrial Augmented Reality: a survey with potential technical writers
inferredcites →https://doi.org/10.1109/ismar.2011.6092372openalex-snapshot
Online user survey on current mobile augmented reality applications
inferredcites →https://doi.org/10.1109/ismar.2014.6948405openalex-snapshot
Towards Augmented Reality user interfaces in 3D media production
inferredcites →https://doi.org/10.1109/jsen.2010.2101060openalex-snapshot
Lock-in Time-of-Flight (ToF) Cameras: A Survey
inferredcites →https://doi.org/10.1109/lwc.2021.3057114openalex-snapshot
A Novel Joint Mobile Cache and Power Management Scheme for Energy-Efficient Mobile Augmented Reality Service in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/mmsp.2011.6093803openalex-snapshot
Low-complexity, near-lossless coding of depth maps from kinect-like depth cameras
inferredcites →https://doi.org/10.1109/mprv.2009.82openalex-snapshot
The Case for VM-Based Cloudlets in Mobile Computing
inferredcites →https://doi.org/10.1109/msp.2017.2669347openalex-snapshot
Computational Depth Sensing : Toward high-performance commodity depth cameras
inferredcites →https://doi.org/10.1109/tci.2015.2510506openalex-snapshot
A Comparative Error Analysis of Current Time-of-Flight Sensors
inferredcites →https://doi.org/10.1109/tip.2020.3040528openalex-snapshot
Learning Guided Convolutional Network for Depth Completion
inferredcites →https://doi.org/10.1109/tpami.1986.4767851openalex-snapshot
A Computational Approach to Edge Detection
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.2017.2699184openalex-snapshot
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/tpami.2019.2947374openalex-snapshot
Learning Depth with Convolutional Spatial Propagation Network
inferredcites →https://doi.org/10.1109/tvcg.2015.2459902openalex-snapshot
MobileFusion: Real-Time Volumetric Surface Reconstruction and Dense Tracking on Mobile Phones
inferredcites →https://doi.org/10.1145/3097895.3097903openalex-snapshot
Delivering Deep Learning to Mobile Devices via Offloading
inferredcites →https://doi.org/10.1145/3132272.3134144openalex-snapshot
Fast Lossless Depth Image Compression
inferredcites →https://doi.org/10.1145/3272127.3275041openalex-snapshot
Depth from motion for smartphone AR
inferredcites →https://doi.org/10.1145/3463498openalex-snapshot
Enabling Real-time Sign Language Translation on Mobile Platforms with On-board Depth Cameras
inferredcites →https://doi.org/10.2390/biecoll-icvs2007-167openalex-snapshot
Real-time scattering compensation for time-of-flight camera
inferredcites →https://doi.org/10.3390/s20041021openalex-snapshot
Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-03296-6_1openalex-snapshot
Ambient Intelligence for Next-Generation AR
inferred← citeshttps://doi.org/10.1049/ipr2.70049openalex-snapshot
Depth Completion and Inpainting for Specular Objects
inferred← citeshttps://doi.org/10.1109/3dv62453.2024.00037openalex-snapshot
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality
inferred← citeshttps://doi.org/10.1109/acait67930.2025.11521938openalex-snapshot
Joint Modeling of Spatio-Temporal and Cross-Scale Consistencies for Multi-View Depth Estimation
inferred← citeshttps://doi.org/10.1109/access.2024.3436570openalex-snapshot
Occlusion-Aware Amodal Depth Estimation for Enhancing 3D Reconstruction From a Single Image
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00338openalex-snapshot
DeepSmooth: Efficient and Smooth Depth Completion
inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610778openalex-snapshot
3D Object Detection with VI-SLAM Point Clouds: The Impact of Object and Environment Characteristics on Model Performance
inferred← citeshttps://doi.org/10.1109/icsps66615.2025.11347827openalex-snapshot
MSGAM-Net: An Image Forgery Detection Method Based on Multi-Scale Global Attention Mechanism
inferred← citeshttps://doi.org/10.1109/imcet59736.2023.10368270openalex-snapshot
Innovative Single-Camera Depth Mapping for Enhanced Indoor Fire Detection and Localization
inferred← citeshttps://doi.org/10.1109/ismar-adjunct64951.2024.00149openalex-snapshot
Toward Robust Depth Fusion for Mobile AR With Depth from Focus and Single-Image Priors
inferred← citeshttps://doi.org/10.1109/ismar59233.2023.00043openalex-snapshot
SiTAR: Situated Trajectory Analysis for In-the-Wild Pose Error Estimation
inferred← citeshttps://doi.org/10.1109/jiot.2022.3205410openalex-snapshot
Distributed Assignment With Load Balancing for DNN Inference at the Edge
inferred← citeshttps://doi.org/10.1109/jiot.2024.3509421openalex-snapshot
Enhancing Passive Wi-Fi Sensing-Based Crowd Analysis via a Deep Compressed Sensing Approach
inferred← citeshttps://doi.org/10.1109/spcom71105.2026.11622920openalex-snapshot
Hierarchical Convolution Spatial Propagation Networks for Depth Completion
inferred← citeshttps://doi.org/10.1109/tmc.2025.3588864openalex-snapshot
DeVA: An Edge-Assisted Video Analytics Framework for Depth Estimation
inferred← citeshttps://doi.org/10.1109/tmc.2025.3601357openalex-snapshot
MobiFuse: A High-Precision On-Device Depth Perception System With Multi-Data Fusion
inferred← citeshttps://doi.org/10.1109/wpmc67460.2025.11351124openalex-snapshot
Enhanced Local and Global Feature Fusion for Vision Transformer-Based Self-Supervised Depth Estimation under Adverse Weather Conditions
inferred← citeshttps://doi.org/10.1145/3581791.3596830openalex-snapshot
BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems
inferred← citeshttps://doi.org/10.1145/3587819.3590972openalex-snapshot
Learning to Predict Head Pose in Remotely-Rendered Virtual Reality
inferred← citeshttps://doi.org/10.1145/3589335.3651906openalex-snapshot
Attentive Partial Convolution for RGBD Image Inpainting
inferred← citeshttps://doi.org/10.1145/3615452.3617941openalex-snapshot
Toward Scalable and Controllable AR Experimentation
inferred← citeshttps://doi.org/10.1145/3636534.3696211openalex-snapshot
Towards In-context Environment Sensing for Mobile Augmented Reality
inferred← citeshttps://doi.org/10.1145/3638550.3641122openalex-snapshot
Mobile AR Depth Estimation: Challenges & Prospects
inferred← citeshttps://doi.org/10.1145/3666025.3699341openalex-snapshot
SEESys: Online Pose Error Estimation System for Visual SLAM
inferred← citeshttps://doi.org/10.1145/3680207.3723496openalex-snapshot
NIRF: Detecting Cameras That Hide Behind Screen
inferred← citeshttps://doi.org/10.1145/3712268openalex-snapshot
MIMIC: AI and AR-enhanced Multi-Modal, Immersive, Relative Instruction Comprehension
inferred← citeshttps://doi.org/10.1145/3842656.3843833openalex-snapshot
An Empirical Study of Depth Inference Scheduling for Dynamic Anchoring in Mobile AR
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.