{"total":275,"rows":[{"id":"2312.08344","title":"FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects","created":"2023-12-13","cited_by_count":429,"area":null},{"id":"2104.04631","title":"DexYCB: A Benchmark for Capturing Hand Grasping of Objects","created":"2021-04-09","cited_by_count":325,"area":null},{"id":"2104.11181","title":"H2O: Two Hands Manipulating Objects for First Person Interaction Recognition","created":"2021-04-22","cited_by_count":254,"area":null},{"id":"2212.06870","title":"MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare","created":"2022-12-13","cited_by_count":201,"area":null},{"id":"2205.12257","title":"OnePose: One-Shot Object Pose Estimation without CAD Models","created":"2022-05-24","cited_by_count":157,"area":null},{"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":"2303.14158","title":"BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects","created":"2023-03-24","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":"2211.05272","title":"GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts","created":"2022-11-10","cited_by_count":139,"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":"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":"2311.18809","title":"FoundPose: Unseen Object Pose Estimation with Foundation Features","created":"2023-11-30","cited_by_count":109,"area":null},{"id":"2103.06526","title":"DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency","created":"2021-03-11","cited_by_count":103,"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":"2204.04752","title":"Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image","created":"2022-04-10","cited_by_count":88,"area":null},{"id":"2203.05701","title":"6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark","created":"2022-03-11","cited_by_count":86,"area":null},{"id":"2104.03437","title":"CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds","created":"2021-04-08","cited_by_count":84,"area":null},{"id":"2108.08755","title":"Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks","created":"2021-08-19","cited_by_count":69,"area":null},{"id":"2104.00633","title":"RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering","created":"2021-04-01","cited_by_count":63,"area":null},{"id":"2206.15436","title":"Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset","created":"2022-06-30","cited_by_count":59,"area":null},{"id":"2207.12909","title":"AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction","created":"2022-07-26","cited_by_count":59,"area":null},{"id":"2108.07044","title":"Towards unconstrained joint hand-object reconstruction from RGB videos","created":"2021-08-16","cited_by_count":58,"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":"2210.10108","title":"Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation","created":"2022-10-18","cited_by_count":55,"area":null},{"id":"2308.10902","title":"CamP: Camera Preconditioning for Neural Radiance Fields","created":"2023-08-21","cited_by_count":55,"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":"2212.10428","title":"HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios","created":"2022-12-20","cited_by_count":53,"area":null},{"id":"2106.03336","title":"Wide-Baseline Relative Camera Pose Estimation with Directional Learning","created":"2021-06-07","cited_by_count":49,"area":null},{"id":"2303.15743","title":"HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation","created":"2023-03-28","cited_by_count":49,"area":null},{"id":"2109.03891","title":"SORNet: Spatial Object-Centric Representations for Sequential Manipulation","created":"2021-09-08","cited_by_count":48,"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":"2211.09325","title":"TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation","created":"2022-11-17","cited_by_count":47,"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":"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":"2109.06161","title":"Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image","created":"2021-09-13","cited_by_count":42,"area":null},{"id":"2202.00732","title":"IFOR: Iterative Flow Minimization for Robotic Object Rearrangement","created":"2022-02-01","cited_by_count":42,"area":null},{"id":"2101.12378","title":"NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation","created":"2021-01-29","cited_by_count":41,"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":"2303.13479","title":"IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation","created":"2023-03-23","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":"2303.13612","title":"NOPE: Novel Object Pose Estimation from a Single Image","created":"2023-03-23","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":"2104.09359","title":"Single-view robot pose and joint angle estimation via render & compare","created":"2021-04-19","cited_by_count":33,"area":null},{"id":"2403.11510","title":"GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects","created":"2024-03-18","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":"2409.19405","title":"G3R: Gradient Guided Generalizable Reconstruction","created":"2024-09-28","cited_by_count":31,"area":null},{"id":"2203.05334","title":"Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects","created":"2022-03-10","cited_by_count":30,"area":null},{"id":"2204.01586","title":"Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image","created":"2022-04-04","cited_by_count":30,"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":"2207.08082","title":"CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement","created":"2022-07-17","cited_by_count":29,"area":null},{"id":"2307.04751","title":"Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement","created":"2023-07-10","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":"2104.13526","title":"ZePHyR: Zero-shot Pose Hypothesis Rating","created":"2021-04-28","cited_by_count":26,"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":"2302.14332","title":"Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer","created":"2023-02-28","cited_by_count":24,"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":"2103.15231","title":"ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning","created":"2021-03-28","cited_by_count":23,"area":null},{"id":"2201.00059","title":"iCaps: Iterative Category-level Object Pose and Shape Estimation","created":"2021-12-31","cited_by_count":23,"area":null},{"id":"2209.05624","title":"Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features","created":"2022-09-12","cited_by_count":23,"area":null},{"id":"2212.12902","title":"TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation","created":"2022-12-25","cited_by_count":23,"area":null},{"id":"2408.13953","title":"InterTrack: Tracking Human Object Interaction without Object Templates","created":"2024-08-25","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":"2210.07199","title":"Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild","created":"2022-10-13","cited_by_count":22,"area":null},{"id":"2211.08805","title":"Interacting Hand-Object Pose Estimation via Dense Mutual Attention","created":"2022-11-16","cited_by_count":22,"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":"2404.10438","title":"The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement","created":"2024-04-16","cited_by_count":21,"area":null},{"id":"2111.10524","title":"ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation","created":"2021-11-20","cited_by_count":20,"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":"2110.12715","title":"SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World","created":"2021-10-25","cited_by_count":19,"area":null},{"id":"2205.11047","title":"Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation","created":"2022-05-23","cited_by_count":19,"area":null},{"id":"2106.14070","title":"Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks","created":"2021-06-26","cited_by_count":18,"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":"2105.14246","title":"Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms","created":"2021-05-29","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":"2204.05145","title":"Focal Length and Object Pose Estimation via Render and Compare","created":"2022-04-11","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":"2208.02129","title":"SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation","created":"2022-08-03","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":"2405.17859","title":"Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation","created":"2024-05-28","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":"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":"2204.11701","title":"Tac2Pose: Tactile Object Pose Estimation from the First Touch","created":"2022-04-25","cited_by_count":15,"area":null},{"id":"2207.12572","title":"Translating a Visual LEGO Manual to a Machine-Executable Plan","created":"2022-07-25","cited_by_count":15,"area":null},{"id":"2209.07589","title":"PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking","created":"2022-09-15","cited_by_count":15,"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}],"next_cursor":"100"}