{"total":86,"rows":[{"id":"2102.12145","title":"GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator","created":"2021-02-24","cited_by_count":148,"area":null},{"id":"2103.02242","title":"FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation","created":"2021-03-03","cited_by_count":144,"area":null},{"id":"2204.10776","title":"Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images","created":"2022-04-22","cited_by_count":121,"area":null},{"id":"2203.09418","title":"ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation","created":"2022-03-17","cited_by_count":116,"area":null},{"id":"2311.14155","title":"GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence","created":"2023-11-23","cited_by_count":114,"area":null},{"id":"2203.07918","title":"GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting","created":"2022-03-15","cited_by_count":94,"area":null},{"id":"2108.08367","title":"SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation","created":"2021-08-18","cited_by_count":88,"area":null},{"id":"2203.04802","title":"NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation","created":"2022-03-09","cited_by_count":58,"area":null},{"id":"2303.16479","title":"Visibility Aware Human-Object Interaction Tracking from Single RGB Camera","created":"2023-03-29","cited_by_count":58,"area":null},{"id":"2203.17234","title":"Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions","created":"2022-03-31","cited_by_count":54,"area":null},{"id":"2106.14193","title":"SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation","created":"2021-06-27","cited_by_count":53,"area":null},{"id":"2104.00337","title":"Wide-Depth-Range 6D Object Pose Estimation in Space","created":"2021-04-01","cited_by_count":45,"area":null},{"id":"2208.00237","title":"RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation","created":"2022-07-30","cited_by_count":43,"area":null},{"id":"2208.06661","title":"SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation","created":"2022-08-13","cited_by_count":41,"area":null},{"id":"2405.07801","title":"Deep Learning-Based Object Pose Estimation: A Comprehensive Survey","created":"2024-05-13","cited_by_count":40,"area":null},{"id":"2203.12870","title":"RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization","created":"2022-03-24","cited_by_count":38,"area":null},{"id":"2203.10339","title":"Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation","created":"2022-03-19","cited_by_count":34,"area":null},{"id":"2203.09836","title":"Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation","created":"2022-03-18","cited_by_count":32,"area":null},{"id":"2105.14291","title":"Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview","created":"2021-05-29","cited_by_count":31,"area":null},{"id":"2305.07348","title":"A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects","created":"2023-05-12","cited_by_count":30,"area":null},{"id":"2401.00029","title":"6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation","created":"2023-12-29","cited_by_count":24,"area":null},{"id":"2203.14531","title":"Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation","created":"2022-03-28","cited_by_count":22,"area":null},{"id":"2212.12103","title":"Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints","created":"2022-12-23","cited_by_count":21,"area":null},{"id":"2307.12172","title":"Challenges for Monocular 6D Object Pose Estimation in Robotics","created":"2023-07-22","cited_by_count":21,"area":null},{"id":"2306.07598","title":"Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images","created":"2023-06-13","cited_by_count":18,"area":null},{"id":"2102.09334","title":"StablePose: Learning 6D Object Poses from Geometrically Stable Patches","created":"2021-02-18","cited_by_count":17,"area":null},{"id":"2108.09916","title":"PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation","created":"2021-08-23","cited_by_count":17,"area":null},{"id":"2203.08472","title":"Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects","created":"2022-03-16","cited_by_count":17,"area":null},{"id":"2205.02536","title":"YOLOPose: Transformer-based Multi-Object 6D Pose Estimation using Keypoint Regression","created":"2022-05-05","cited_by_count":17,"area":null},{"id":"2306.13266","title":"Shape-Constraint Recurrent Flow for 6D Object Pose Estimation","created":"2023-06-23","cited_by_count":17,"area":null},{"id":"2109.10948","title":"T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression","created":"2021-09-22","cited_by_count":16,"area":null},{"id":"2112.03810","title":"Polarimetric Pose Prediction","created":"2021-12-07","cited_by_count":16,"area":null},{"id":"2308.05438","title":"Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation","created":"2023-08-10","cited_by_count":16,"area":null},{"id":"2210.11718","title":"CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers","created":"2022-10-21","cited_by_count":15,"area":null},{"id":"2303.16874","title":"CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network","created":"2023-03-29","cited_by_count":15,"area":null},{"id":"2104.03658","title":"DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency","created":"2021-04-08","cited_by_count":14,"area":null},{"id":"2207.07869","title":"CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space","created":"2022-07-16","cited_by_count":13,"area":null},{"id":"2303.12396","title":"Rigidity-Aware Detection for 6D Object Pose Estimation","created":"2023-03-22","cited_by_count":13,"area":null},{"id":"2204.09983","title":"DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation","created":"2022-04-21","cited_by_count":12,"area":null},{"id":"2411.16106","title":"UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image","created":"2024-11-25","cited_by_count":12,"area":null},{"id":"2310.03534","title":"3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation","created":"2023-10-05","cited_by_count":11,"area":null},{"id":"2403.08019","title":"MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2412.01543","title":"6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting","created":"2024-12-02","cited_by_count":11,"area":null},{"id":"2208.08807","title":"COPE: End-to-end trainable Constant Runtime Object Pose Estimation","created":"2022-08-18","cited_by_count":10,"area":null},{"id":"2401.04143","title":"RHOBIN Challenge: Reconstruction of Human Object Interaction","created":"2024-01-07","cited_by_count":10,"area":null},{"id":"2506.07155","title":"GoTrack: Generic 6DoF Object Pose Refinement and Tracking","created":"2025-06-08","cited_by_count":10,"area":null},{"id":"2112.08775","title":"DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation","created":"2021-12-16","cited_by_count":9,"area":null},{"id":"2208.12986","title":"6D Robotic Assembly Based on RGB-only Object Pose Estimation","created":"2022-08-27","cited_by_count":9,"area":null},{"id":"2210.05232","title":"DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation","created":"2022-10-11","cited_by_count":9,"area":null},{"id":"2308.10016","title":"Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation","created":"2023-08-19","cited_by_count":9,"area":null},{"id":"2307.15514","title":"Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation","created":"2023-07-28","cited_by_count":7,"area":null},{"id":"2404.04557","title":"Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes","created":"2024-04-06","cited_by_count":7,"area":null},{"id":"2110.11636","title":"Occlusion-Robust Object Pose Estimation with Holistic Representation","created":"2021-10-22","cited_by_count":6,"area":null},{"id":"2303.11516","title":"Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation","created":"2023-03-21","cited_by_count":6,"area":null},{"id":"2503.15110","title":"GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation","created":"2025-03-19","cited_by_count":6,"area":null},{"id":"2506.17119","title":"RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking","created":"2025-06-20","cited_by_count":6,"area":null},{"id":"2208.08338","title":"SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation","created":"2022-08-17","cited_by_count":4,"area":null},{"id":"2303.08096","title":"MELON: NeRF with Unposed Images in SO(3)","created":"2023-03-14","cited_by_count":4,"area":null},{"id":"2508.02157","title":"Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2104.07528","title":"Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation","created":"2021-04-15","cited_by_count":3,"area":null},{"id":"2201.13065","title":"Rigidity Preserving Image Transformations and Equivariance in Perspective","created":"2022-01-31","cited_by_count":3,"area":null},{"id":"2307.11550","title":"YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation","created":"2023-07-21","cited_by_count":3,"area":null},{"id":"2302.11827","title":"Open Challenges for Monocular Single-shot 6D Object Pose Estimation","created":"2023-02-23","cited_by_count":2,"area":null},{"id":"2410.18109","title":"NaVIP: An Image-Centric Indoor Navigation Solution for Visually Impaired People","created":"2024-10-08","cited_by_count":2,"area":null},{"id":"2203.00302","title":"Adversarial samples for deep monocular 6D object pose estimation","created":"2022-03-01","cited_by_count":1,"area":null},{"id":"2205.09116","title":"Exploring the Adjugate Matrix Approach to Quaternion Pose Extraction","created":"2022-05-17","cited_by_count":1,"area":null},{"id":"2302.07300","title":"MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation","created":"2023-02-14","cited_by_count":1,"area":null},{"id":"2311.17504","title":"PViT-6D: Overclocking Vision Transformers for 6D Pose Estimation with Confidence-Level Prediction and Pose Tokens","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2403.14559","title":"VAPO: Visibility-Aware Keypoint Localization for Efficient 6DoF Object Pose Estimation","created":"2024-03-21","cited_by_count":1,"area":null},{"id":"2504.09160","title":"SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow","created":"2025-04-12","cited_by_count":1,"area":null},{"id":"2603.19961","title":"Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2603.22839","title":"MultiCam: On-the-fly Multi-Camera Pose Estimation Using Spatiotemporal Overlaps of Known Objects","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2207.00260","title":"Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy","created":"2022-07-01","cited_by_count":0,"area":null},{"id":"2212.01920","title":"Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding","created":"2022-12-04","cited_by_count":0,"area":null},{"id":"2307.11543","title":"KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose Estimation","created":"2023-07-21","cited_by_count":0,"area":null},{"id":"2308.08518","title":"Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction","created":"2023-08-16","cited_by_count":0,"area":null},{"id":"2311.10918","title":"Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process","created":"2023-11-18","cited_by_count":0,"area":null},{"id":"2312.08268","title":"Efficient Multi-Object Pose Estimation using Multi-Resolution Deformable Attention and Query Aggregation","created":"2023-12-13","cited_by_count":0,"area":null},{"id":"2403.13683","title":"DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects","created":"2024-03-20","cited_by_count":0,"area":null},{"id":"2407.08909","title":"KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2501.02831","title":"Universal Features Guided Zero-Shot Category-Level Object Pose Estimation","created":"2025-01-06","cited_by_count":0,"area":null},{"id":"2502.12027","title":"Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection","created":"2025-02-17","cited_by_count":0,"area":null},{"id":"2507.01478","title":"Active Control Points-based 6DoF Pose Tracking for Industrial Metal Objects","created":"2025-07-02","cited_by_count":0,"area":null},{"id":"2510.10933","title":"DKPMV: Dense Keypoints Fusion from Multi-View RGB Frames for 6D Pose Estimation of Textureless Objects","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2512.10840","title":"PoseGAM: Robust Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2603.27533","title":"Demo-Pose: Depth-Monocular Modality Fusion For Object Pose Estimation","created":"2026-03-29","cited_by_count":0,"area":null}],"next_cursor":null}