On the public citation graph
Label Fusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
0 signed · 128 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-3-319-46475-6_47openalex-snapshot
Fast Global Registration
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_7openalex-snapshot
Playing for Data: Ground Truth from Computer Games
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/3dv.2016.18openalex-snapshot
SceneNN: A Scene Meshes Dataset with aNNotations
inferredcites →https://doi.org/10.1109/cvpr.2015.7298631openalex-snapshot
DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time
inferredcites →https://doi.org/10.1109/cvpr.2015.7299006openalex-snapshot
Learning scene-specific pedestrian detectors without real data
inferredcites →https://doi.org/10.1109/cvpr.2016.352openalex-snapshot
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
inferredcites →https://doi.org/10.1109/cvpr.2017.261openalex-snapshot
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
inferredcites →https://doi.org/10.1109/cvprw.2016.88openalex-snapshot
RGBD Datasets: Past, Present and Future
inferredcites →https://doi.org/10.1109/icra.2017.7989092openalex-snapshot
Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?
inferredcites →https://doi.org/10.1109/icra.2017.7989165openalex-snapshot
Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge
inferredcites →https://doi.org/10.1109/iros.2016.7759114openalex-snapshot
High precision grasp pose detection in dense clutter
inferredcites →https://doi.org/10.1109/iros.2017.8206470openalex-snapshot
SegICP: Integrated deep semantic segmentation and pose estimation
inferredcites →https://doi.org/10.1109/lra.2016.2532924openalex-snapshot
A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place
inferredcites →https://doi.org/10.1109/robio.2013.6739623openalex-snapshot
A vision-based robotic grasping system using deep learning for 3D object recognition and pose estimation
inferredcites →https://doi.org/10.1109/tpami.2015.2513405openalex-snapshot
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
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/wacv.2017.103openalex-snapshot
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects
inferredcites →https://doi.org/10.1111/cgf.12446openalex-snapshot
Super 4PCS Fast Global Pointcloud Registration via Smart Indexing
inferredcites →https://doi.org/10.1145/237170.237269openalex-snapshot
A volumetric method for building complex models from range images
inferredcites →https://doi.org/10.1177/0278364917700714openalex-snapshot
Yale-CMU-Berkeley dataset for robotic manipulation research
inferredcites →https://doi.org/10.15607/rss.2015.xi.001openalex-snapshot
ElasticFusion: Dense SLAM Without A Pose Graph
inferredcites →https://doi.org/10.15607/rss.2017.xiii.058openalex-snapshot
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
inferredcites →https://doi.org/10.2174/1573399812666160613113556openalex-snapshot
Empagliflozin for Type 2 Diabetes Mellitus: An Overview of Phase 3 Clinical Trials
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.4003960openalex-extracted
Full Stack Image Annotation by 4d to 2d Label Transfer
inferred← citeshttps://doi.org/10.1007/978-1-4842-4261-2_5openalex-snapshot
Object Detection and Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-28619-4_49openalex-snapshot
Globally Optimal Object Pose Estimation in Point Clouds with Mixed-Integer Programming
inferred← citeshttps://doi.org/10.1007/978-3-030-90525-5_18openalex-snapshot
Towards a Programming-Free Robotic System for Assembly Tasks Using Intuitive Interactions
inferred← citeshttps://doi.org/10.1007/978-3-030-95459-8_9openalex-snapshot
KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
inferred← citeshttps://doi.org/10.1007/978-3-031-91569-7_2openalex-snapshot
PCR-99: A Practical Method for Point Cloud Registration with 99 Percent Outliers
inferred← citeshttps://doi.org/10.1007/978-3-642-41610-1_99-1openalex-snapshot
Object Detection and Recognition
inferred← citeshttps://doi.org/10.1007/978-3-658-41657-7_63openalex-snapshot
Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints
inferred← citeshttps://doi.org/10.1007/s00521-020-05644-6openalex-snapshot
Unreal mask: one-shot multi-object class-based pose estimation for robotic manipulation using keypoints with a synthetic dataset
inferred← citeshttps://doi.org/10.1007/s10489-023-04688-0openalex-snapshot
Fine segmentation and difference-aware shape adjustment for category-level 6DoF object pose estimation
inferred← citeshttps://doi.org/10.1007/s10845-022-01965-6openalex-snapshot
IPPE-PCR: a novel 6D pose estimation method based on point cloud repair for texture-less and occluded industrial parts
inferred← citeshttps://doi.org/10.1007/s11042-023-15111-8openalex-snapshot
Robo-vision! 3D mesh generation of a scene for a robot for planar and non-planar complex objects
inferred← citeshttps://doi.org/10.1007/s11548-023-02890-6openalex-snapshot
Evaluation of single-stage vision models for pose estimation of surgical instruments
inferred← citeshttps://doi.org/10.1007/s11633-020-1221-8openalex-snapshot
Automatic “Ground Truth” Annotation and Industrial Workpiece Dataset Generation for Deep Learning
inferred← citeshttps://doi.org/10.1016/j.cirp.2026.04.063openalex-snapshot
Human and automated demonstration data acquisition for learning repetitive industrial handling operations
inferred← citeshttps://doi.org/10.1016/j.robot.2020.103632openalex-snapshot
Object-RPE: Dense 3D reconstruction and pose estimation with convolutional neural networks
inferred← citeshttps://doi.org/10.1088/1361-6501/ad9160openalex-snapshot
Efficient encoding and aligning viewpoints for 6D pose estimation of unseen industrial parts
inferred← citeshttps://doi.org/10.1109/3dv62453.2024.00092openalex-snapshot
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering
inferred← citeshttps://doi.org/10.1109/access.2020.2983173openalex-snapshot
Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking
inferred← citeshttps://doi.org/10.1109/access.2020.2984745openalex-snapshot
Automatic Dense Annotation for Monocular 3D Scene Understanding
inferred← citeshttps://doi.org/10.1109/access.2023.3348781openalex-snapshot
Occlusion-Robust Pallet Pose Estimation for Warehouse Automation
inferred← citeshttps://doi.org/10.1109/access.2025.3582924openalex-snapshot
Depth-Guided Monocular Object Pose Estimation for Warehouse Automation
inferred← citeshttps://doi.org/10.1109/cacs55319.2022.9969791openalex-snapshot
Grasp Planning and Control for Robotic Mobile Manipulation Based on Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/case56687.2023.10260335openalex-snapshot
Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01162openalex-snapshot
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01393openalex-snapshot
Multi-Path Learning for Object Pose Estimation Across Domains
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.02054openalex-snapshot
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02123openalex-snapshot
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02141openalex-snapshot
Towards Co-Evaluation of Cameras, HDR, and Algorithms for Industrial-Grade 6DoF Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00331openalex-snapshot
Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00173openalex-snapshot
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
inferred← citeshttps://doi.org/10.1109/ecmr.2019.8870927openalex-snapshot
Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888965openalex-snapshot
Proud-SLAM: Neural Point-based Hybrid RGBD Monocular Dense SLAM
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01069openalex-snapshot
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01294openalex-snapshot
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956263openalex-snapshot
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses
inferred← citeshttps://doi.org/10.1109/icra.2019.8793744openalex-snapshot
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
inferred← citeshttps://doi.org/10.1109/icra.2019.8793820openalex-snapshot
A Supervised Approach to Predicting Noise in Depth Images
inferred← citeshttps://doi.org/10.1109/icra.2019.8793917openalex-snapshot
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196714openalex-snapshot
Self-supervised 6D Object Pose Estimation for Robot Manipulation
inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812072openalex-snapshot
RF-Annotate: Automatic RF-Supervised Image Annotation of Common Objects in Context
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561277openalex-snapshot
Rapid Pose Label Generation through Sparse Representation of Unknown Objects
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561428openalex-snapshot
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561475openalex-snapshot
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561484openalex-snapshot
Automatic Hanging Point Learning from Random Shape Generation and Physical Function Validation
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10160669openalex-snapshot
3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161040openalex-snapshot
NeRFing it: Offline Object Segmentation Through Implicit Modeling
inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610425openalex-snapshot
IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model
inferred← citeshttps://doi.org/10.1109/icra57147.2024.10611401openalex-snapshot
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation
inferred← citeshttps://doi.org/10.1109/icra57147.2024.10611652openalex-snapshot
Jacquard V2: Refining Datasets using the Human In the Loop Data Correction Method
inferred← citeshttps://doi.org/10.1109/icus58632.2023.10318268openalex-snapshot
Bidirectional Edge-Based 3D Scene Graph Generation from Point Clouds
inferred← citeshttps://doi.org/10.1109/irc59093.2023.00037openalex-snapshot
Automated Multimodal Data Annotation via Calibration With Indoor Positioning System
inferred← citeshttps://doi.org/10.1109/iros40897.2019.8968230openalex-snapshot
Automatic Annotation for Semantic Segmentation in Indoor Scenes
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9340908openalex-snapshot
Parts-Based Articulated Object Localization in Clutter Using Belief Propagation
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9341257openalex-snapshot
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9982076openalex-snapshot
ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9982194openalex-snapshot
NARF22: Neural Articulated Radiance Fields for Configuration-Aware Rendering
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9635895openalex-snapshot
Automatic Learning System for Object Function Points from Random Shape Generation and Physical Validation
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9636708openalex-snapshot
iNeRF: Inverting Neural Radiance Fields for Pose Estimation
inferred← citeshttps://doi.org/10.1109/iros55552.2023.10342310openalex-snapshot
FVLoc-NeRF : Fast Vision-Only Localization within Neural Radiation Field
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246266openalex-snapshot
SPLATART: Articulated Gaussian Splatting with Estimated Object Structure
inferred← citeshttps://doi.org/10.1109/ismar-adjunct.2019.00-42openalex-snapshot
Deep Multi-state Object Pose Estimation for Augmented Reality Assembly
inferred← citeshttps://doi.org/10.1109/ismar59233.2023.00071openalex-snapshot
Leveraging Motion Tracking for Intuitive Interactions in a Tablet-Based 3D Scene Annotation System
inferred← citeshttps://doi.org/10.1109/lra.2019.2894915openalex-snapshot
Multi-View Incremental Segmentation of 3-D Point Clouds for Mobile Robots
inferred← citeshttps://doi.org/10.1109/lra.2020.3001499openalex-snapshot
LIT: Light-field Inference of Transparency for Refractive Object Localization
inferred← citeshttps://doi.org/10.1109/lra.2020.3010443openalex-snapshot
GeoFusion: Geometric Consistency Informed Scene Estimation in Dense Clutter
inferred← citeshttps://doi.org/10.1109/lra.2020.3010443.openalex-snapshot
GeoFusion: Geometric Consistency informed Scene Estimation in Dense Clutter.
inferred← citeshttps://doi.org/10.1109/lra.2022.3152837openalex-snapshot
TriVoC: Efficient Voting-Based Consensus Maximization for Robust Point Cloud Registration With Extreme Outlier Ratios
inferred← citeshttps://doi.org/10.1109/lra.2023.3259735openalex-snapshot
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
inferred← citeshttps://doi.org/10.1109/metroind4.0iot48571.2020.9138271openalex-snapshot
3DOPE-DL: Accuracy Evaluation of a Deep Learning Framework for 3D Object Pose Estimation
inferred← citeshttps://doi.org/10.1109/ro-man57019.2023.10309417openalex-snapshot
Reinforcement Learning-based Virtual Fixtures for Teleoperation of Hydraulic Construction Machine *
inferred← citeshttps://doi.org/10.1109/roboticcc68732.2025.00007openalex-snapshot
Annotation of Tomato Plants RGB-D Images via Point-to-Pixel Label Transfer
inferred← citeshttps://doi.org/10.1109/sii52469.2022.9708910openalex-snapshot
6D-Pose Estimation for Manipulation in Retail Robotics using the Inference-embedded OAK-D Camera
inferred← citeshttps://doi.org/10.1109/tcds.2025.3571813openalex-snapshot
Self-Supervised Object Pose Estimation With Multitask Learning
inferred← citeshttps://doi.org/10.1109/tie.2023.3299049openalex-snapshot
Digital Twin Robotic System With Continuous Learning for Grasp Detection in Variable Scenes
inferred← citeshttps://doi.org/10.1109/tii.2024.3424591openalex-snapshot
SS-Pose: Self-Supervised 6-D Object Pose Representation Learning Without Rendering
inferred← citeshttps://doi.org/10.1109/tip.2021.3138644openalex-snapshot
Toward Real-World Category-Level Articulation Pose Estimation
inferred← citeshttps://doi.org/10.1109/tmm.2023.3338054openalex-snapshot
RDD: Learning Reinforced 3D Detectors and Descriptors Based on Policy Gradient
inferred← citeshttps://doi.org/10.1109/tmm.2025.3599100openalex-snapshot
NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense SLAM
inferred← citeshttps://doi.org/10.1109/tpami.2022.3186876openalex-snapshot
Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision
inferred← citeshttps://doi.org/10.1109/tro.2020.3033695openalex-snapshot
TEASER: Fast and Certifiable Point Cloud Registration
inferred← citeshttps://doi.org/10.1109/tro.2021.3056043openalex-snapshot
PoseRBPF: A Rao–Blackwellized Particle Filter for 6-D Object Pose Tracking
inferred← citeshttps://doi.org/10.1109/tro.2023.3343994openalex-snapshot
Persistent Homology Meets Object Unity: Object Recognition in Clutter
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093335openalex-snapshot
Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00063openalex-snapshot
Mobile Robot Manipulation using Pure Object Detection
inferred← citeshttps://doi.org/10.1155/2022/3511265openalex-snapshot
DeepNet-Based 3D Visual Servoing Robotic Manipulation
inferred← citeshttps://doi.org/10.15607/rss.2019.xv.003openalex-snapshot
A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates
inferred← citeshttps://doi.org/10.1609/aaai.v35i18.18031openalex-snapshot
TAILOR: Teaching with Active and Incremental Learning for Object Registration
inferred← citeshttps://doi.org/10.3390/app12126188openalex-snapshot
Texture-Less Shiny Objects Grasping in a Single RGB Image Using Synthetic Training Data
inferred← citeshttps://doi.org/10.3390/s21010300openalex-snapshot
SynPo-Net—Accurate and Fast CNN-Based 6DoF Object Pose Estimation Using Synthetic Training
inferred← citeshttps://doi.org/10.3390/s23249854openalex-snapshot
Deep Learning-Based 6-DoF Object Pose Estimation Considering Synthetic Dataset
inferred← citeshttps://doi.org/10.3390/s24041076openalex-snapshot
A Survey of 6DoF Object Pose Estimation Methods for Different Application Scenarios
inferred← citeshttps://doi.org/10.48550/arxiv.1806.08756openalex-snapshot
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
inferred← citeshttps://doi.org/10.48550/arxiv.1812.10717openalex-snapshot
S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1909.10270openalex-snapshot
Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data
inferred← citeshttps://doi.org/10.48550/arxiv.2002.06626openalex-snapshot
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition
inferred← citeshttps://doi.org/10.48550/arxiv.2005.03190openalex-snapshot
A Dynamical Perspective on Point Cloud Registration
inferred← citeshttps://doi.org/10.48550/arxiv.2105.03260openalex-snapshot
Towards Real-World Category-level Articulation Pose Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.2109.07165openalex-snapshot
3D Annotation Of Arbitrary Objects In The Wild
inferred← citeshttps://doi.org/10.48550/arxiv.2110.05075openalex-snapshot
DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios
inferred← citeshttps://doi.org/10.5204/thesis.eprints.207935openalex-snapshot
A dynamic planner for object assembly tasks based learning the spatial relationships of its parts from a single demonstration
inferred← citeshttps://doi.org/10.5220/0009102506520659openalex-snapshot
Monocular 3D Object Detection via Geometric Reasoning on Keypoints
inferred← citeshttps://doi.org/10.55417/fr.2021002openalex-snapshot
Fast and High-Quality, GPU-Based, Deliberative, Object-Pose Estimation
inferred← citeshttps://doi.org/10.55417/fr.2022006openalex-snapshot
Semantic Keypoint-Based Pose Estimation from Single RGB Frames
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.