{"total":147,"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":"2311.18809","title":"FoundPose: Unseen Object Pose Estimation with Foundation Features","created":"2023-11-30","cited_by_count":109,"area":null},{"id":"2111.13489","title":"SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings","created":"2021-11-26","cited_by_count":95,"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":"2203.15533","title":"OSOP: A Multi-Stage One Shot Object Pose Estimation Framework","created":"2022-03-29","cited_by_count":81,"area":null},{"id":"2207.13691","title":"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization","created":"2022-07-27","cited_by_count":72,"area":null},{"id":"2302.13075","title":"BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects","created":"2023-02-25","cited_by_count":70,"area":null},{"id":"2403.09799","title":"BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects","created":"2024-03-14","cited_by_count":60,"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":"2204.12516","title":"Coupled Iterative Refinement for 6D Multi-Object Pose Estimation","created":"2022-04-26","cited_by_count":48,"area":null},{"id":"2309.11986","title":"ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers","created":"2023-09-21","cited_by_count":45,"area":null},{"id":"2203.01072","title":"OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation","created":"2022-03-02","cited_by_count":43,"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":"2303.09495","title":"Among Us: Adversarially Robust Collaborative Perception by Consensus","created":"2023-03-16","cited_by_count":37,"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":"2303.12246","title":"Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation","created":"2023-03-22","cited_by_count":33,"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":"2207.02805","title":"DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation","created":"2022-07-06","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":"2305.15727","title":"POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference","created":"2023-05-25","cited_by_count":30,"area":null},{"id":"2404.00469","title":"SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs","created":"2024-03-30","cited_by_count":29,"area":null},{"id":"2203.03089","title":"CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild","created":"2022-03-07","cited_by_count":28,"area":null},{"id":"2104.02527","title":"Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting","created":"2021-04-06","cited_by_count":25,"area":null},{"id":"2402.12647","title":"DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation","created":"2024-02-20","cited_by_count":25,"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":"2601.05573","title":"Orient Anything V2: Unifying Orientation and Rotation Understanding","created":"2026-01-09","cited_by_count":23,"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":"2208.00113","title":"Neural Correspondence Field for Object Pose Estimation","created":"2022-07-30","cited_by_count":21,"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":"2112.02849","title":"DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration","created":"2021-12-06","cited_by_count":20,"area":null},{"id":"2304.05947","title":"Visual Localization using Imperfect 3D Models from the Internet","created":"2023-04-12","cited_by_count":20,"area":null},{"id":"2204.01080","title":"ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework","created":"2022-04-03","cited_by_count":19,"area":null},{"id":"2310.12974","title":"FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects","created":"2023-10-19","cited_by_count":19,"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":"2204.02163","title":"Leveraging Equivariant Features for Absolute Pose Regression","created":"2022-04-05","cited_by_count":17,"area":null},{"id":"2208.02129","title":"SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation","created":"2022-08-03","cited_by_count":17,"area":null},{"id":"2305.15873","title":"Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)","created":"2023-05-25","cited_by_count":17,"area":null},{"id":"2311.12588","title":"HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation","created":"2023-11-21","cited_by_count":17,"area":null},{"id":"2112.03810","title":"Polarimetric Pose Prediction","created":"2021-12-07","cited_by_count":16,"area":null},{"id":"2402.15490","title":"A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends","created":"2024-02-23","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":"2403.10683","title":"GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting","created":"2024-03-15","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":"2303.05308","title":"SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation","created":"2023-03-09","cited_by_count":14,"area":null},{"id":"2304.10528","title":"Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance","created":"2023-04-20","cited_by_count":14,"area":null},{"id":"2409.15727","title":"LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation","created":"2024-09-24","cited_by_count":14,"area":null},{"id":"2211.14125","title":"PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation","created":"2022-11-25","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":"2107.12549","title":"DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation","created":"2021-07-27","cited_by_count":12,"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":"2206.11808","title":"Unseen Object 6D Pose Estimation: A Benchmark and Baselines","created":"2022-06-23","cited_by_count":12,"area":null},{"id":"2311.13777","title":"GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence","created":"2023-11-23","cited_by_count":12,"area":null},{"id":"2406.17438","title":"Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes","created":"2024-06-25","cited_by_count":12,"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":"2208.08807","title":"COPE: End-to-end trainable Constant Runtime Object Pose Estimation","created":"2022-08-18","cited_by_count":10,"area":null},{"id":"2303.13241","title":"6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics","created":"2023-03-23","cited_by_count":10,"area":null},{"id":"2310.01897","title":"MFOS: Model-Free & One-Shot Object Pose Estimation","created":"2023-10-03","cited_by_count":10,"area":null},{"id":"2312.15719","title":"Get a Grip: Reconstructing Hand-Object Stable Grasps in Egocentric Videos","created":"2023-12-25","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":"2208.12986","title":"6D Robotic Assembly Based on RGB-only Object Pose Estimation","created":"2022-08-27","cited_by_count":9,"area":null},{"id":"2306.00129","title":"Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects","created":"2023-05-31","cited_by_count":9,"area":null},{"id":"2207.02811","title":"Multi-View Object Pose Refinement With Differentiable Renderer","created":"2022-07-06","cited_by_count":8,"area":null},{"id":"2303.02133","title":"Depth-based 6DoF Object Pose Estimation using Swin Transformer","created":"2023-03-03","cited_by_count":8,"area":null},{"id":"2404.11139","title":"GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement","created":"2024-04-17","cited_by_count":8,"area":null},{"id":"2204.05864","title":"Semantic keypoint-based pose estimation from single RGB frames","created":"2022-04-12","cited_by_count":7,"area":null},{"id":"2210.08123","title":"Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation","created":"2022-10-14","cited_by_count":7,"area":null},{"id":"2303.16102","title":"KeyMatchNet: Zero-Shot Pose Estimation in 3D Point Clouds by Generalized Keypoint Matching","created":"2023-03-28","cited_by_count":7,"area":null},{"id":"2506.04803","title":"SupeRANSAC: One RANSAC to Rule Them All","created":"2025-06-05","cited_by_count":7,"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":"2410.08152","title":"RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace","created":"2024-10-10","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":"2210.12682","title":"Photo-realistic Neural Domain Randomization","created":"2022-10-23","cited_by_count":5,"area":null},{"id":"2302.03744","title":"3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation","created":"2023-02-07","cited_by_count":5,"area":null},{"id":"2304.06419","title":"Tracking by 3D Model Estimation of Unknown Objects in Videos","created":"2023-04-13","cited_by_count":5,"area":null},{"id":"2405.08483","title":"RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images","created":"2024-05-14","cited_by_count":5,"area":null},{"id":"2112.09598","title":"Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans","created":"2021-12-17","cited_by_count":4,"area":null},{"id":"2210.03436","title":"Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking","created":"2022-10-07","cited_by_count":4,"area":null},{"id":"2307.00306","title":"SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation","created":"2023-07-01","cited_by_count":4,"area":null},{"id":"2401.03872","title":"A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking","created":"2024-01-08","cited_by_count":4,"area":null},{"id":"2107.02057","title":"6D Object Pose Estimation using Keypoints and Part Affinity Fields","created":"2021-07-05","cited_by_count":3,"area":null},{"id":"2209.07976","title":"Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators","created":"2022-09-16","cited_by_count":3,"area":null},{"id":"2408.08234","title":"Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation","created":"2024-08-15","cited_by_count":3,"area":null},{"id":"2408.17297","title":"BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities","created":"2024-08-30","cited_by_count":3,"area":null},{"id":"2503.03726","title":"Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2512.07394","title":"Reconstructing Objects along Hand Interaction Timelines in Egocentric Video","created":"2025-12-08","cited_by_count":3,"area":null},{"id":"2109.09927","title":"Robust Extrinsic Symmetry Estimation in 3D Point Clouds","created":"2021-09-21","cited_by_count":2,"area":null},{"id":"2210.05318","title":"CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation","created":"2022-10-11","cited_by_count":2,"area":null},{"id":"2210.10959","title":"Geo6D: Geometric Constraints Learning for 6D Pose Estimation","created":"2022-10-20","cited_by_count":2,"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":"2312.01105","title":"S2P3: Self-Supervised Polarimetric Pose Prediction","created":"2023-12-02","cited_by_count":2,"area":null}],"next_cursor":"100"}