On the public citation graph

Point‐convolution‐based human skeletal pose estimation on millimetre wave frequency modulated continuous wave multiple‐input multiple‐output radar

0 signed · 44 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-319-46466-4_3openalex-snapshot
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
inferredcites →https://doi.org/10.1007/s11263-009-0273-6openalex-snapshot
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1049/iet-cvi.2015.0146openalex-snapshot
Weighted averaging fusion for multi‐view skeletal data and its application in action recognition
inferredcites →https://doi.org/10.1049/iet-cvi.2017.0062openalex-snapshot
Skeleton‐based human activity recognition for elderly monitoring systems
inferredcites →https://doi.org/10.1109/cvpr.2005.335openalex-snapshot
Strike a Pose: Tracking People by Finding Stylized Poses
inferredcites →https://doi.org/10.1109/cvpr.2015.7298801openalex-snapshot
3D ShapeNets: A deep representation for volumetric shapes
inferredcites →https://doi.org/10.1109/cvpr.2016.533openalex-snapshot
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2017.143openalex-snapshot
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1109/cvpr.2018.00109openalex-snapshot
Pointwise Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00478openalex-snapshot
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00026openalex-snapshot
Skeleton-Based Action Recognition With Shift Graph Convolutional Network
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00192openalex-snapshot
View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2019.00243openalex-snapshot
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2019.00760openalex-snapshot
Learning Relationships for Multi-View 3D Object Recognition
inferredcites →https://doi.org/10.1109/jsen.2020.2991741openalex-snapshot
mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs
inferredcites →https://doi.org/10.1109/jtehm.2018.2877980openalex-snapshot
Robust and Accurate Capture of Human Joint Pose Using an Inertial Sensor
inferredcites →https://doi.org/10.1109/mmul.2012.24openalex-snapshot
Microsoft Kinect Sensor and Its Effect
inferredcites →https://doi.org/10.1109/radarconf2043947.2020.9266600openalex-snapshot
NLP based Skeletal Pose Estimation using mmWave Radar Point-Cloud: A Simulation Approach
inferredcites →https://doi.org/10.1109/tpami.2020.3005434openalex-snapshot
Deep Learning for 3D Point Clouds: A Survey
inferredcites →https://doi.org/10.1109/tsp.2004.826170openalex-snapshot
Asymptotically Minimum Variance Second-Order Estimation for Noncircular Signals with Application to DOA Estimation
inferredcites →https://doi.org/10.1145/2816795.2818072openalex-snapshot
Capturing the human figure through a wall
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3072959.3073608openalex-snapshot
O-CNN
inferredcites →https://doi.org/10.1145/3197517.3201301openalex-snapshot
Point convolutional neural networks by extension operators
inferredcites →https://doi.org/10.1145/3230543.3230579openalex-snapshot
RF-based 3D skeletons
inferredcites →https://doi.org/10.1145/3477003openalex-snapshot
MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare
inferredcites →https://doi.org/10.3390/app12042168openalex-snapshot
Improving Human Activity Recognition for Sparse Radar Point Clouds: A Graph Neural Network Model with Pre-Trained 3D Human-Joint Coordinates
inferredcites →https://doi.org/10.3390/s20236887openalex-snapshot
Body-Worn IMU Human Skeletal Pose Estimation Using a Factor Graph-Based Optimization Framework
inferredcites →https://doi.org/10.7210/jrsj.33.100openalex-snapshot
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2014)

What points at this work

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

inferred← citeshttps://doi.org/10.1109/access.2024.3445465openalex-snapshot
Human Pose Inference Using an Elevated mmWave FMCW Radar
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11251671openalex-snapshot
Deep Learning-Based Human Joint Localization Using mmWave Radar and Sequential Frame Fusion
inferred← citeshttps://doi.org/10.1109/eurocon64445.2025.11073513openalex-snapshot
PoinTS: mmWave Radar-based PointNet and Transformer Network for Human Skeleton Estimation in Privacy-Preserving Rehabilitation
inferred← citeshttps://doi.org/10.1109/jsen.2024.3452110openalex-snapshot
Advancements in Radar Point Cloud Processing for Macro Human Movements in Healthcare and Assisted Living Domains: A Review
inferred← citeshttps://doi.org/10.1109/jsen.2025.3542078openalex-snapshot
CPFormer: End-to-End Multi-Person Human Pose Estimation From Raw Radar Cubes With Transformers
inferred← citeshttps://doi.org/10.1109/jsen.2025.3577772openalex-snapshot
mmPoint-Attention: A Unified Attention Framework for Human Pose and Activity Recognition From mmWave Radar Point Clouds
inferred← citeshttps://doi.org/10.1109/sensors56945.2023.10325204openalex-snapshot
A Robust Multi-Frame mmWave Radar Point Cloud-Based Human Skeleton Estimation Approach with Point Cloud Reliability Assessment
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831033openalex-snapshot
A Dual-Branch Structural Network for Human Pose Estimation Based on Millimeter Wave Radar
inferred← citeshttps://doi.org/10.1145/3580779openalex-snapshot
Human Parsing with Joint Learning for Dynamic mmWave Radar Point Cloud
inferred← citeshttps://doi.org/10.1145/3625687.3625799openalex-snapshot
Egocentric Human Pose Estimation using Head-mounted mmWave Radar
inferred← citeshttps://doi.org/10.3390/rs16040633openalex-snapshot
Vulnerable Road User Skeletal Pose Estimation Using mmWave Radars
inferred← citeshttps://doi.org/10.3390/s24227250openalex-snapshot
Distance and Angle Insensitive Radar-Based Multi-Human Posture Recognition Using Deep Learning
inferred← citeshttps://doi.org/10.3390/s25133909openalex-snapshot
A Novel Deep Learning Model for Human Skeleton Estimation Using FMCW Radar
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.