{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/pose-estimation/papers/23","list_of":"/task/pose-estimation","task":"Pose Estimation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":23,"pages_in_order":43,"rows_per_page":100,"rows":[2201,2300],"of":4228,"counts":{"archive_papers_tagged":4228,"with_a_code_link":1679,"where_syntology_ran_a_sample":376,"not_listed_spam_title":0,"listed":4228,"listed_where_code_ran":376,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":327,"every_run_a_failure_of_syntologys_instrument":49,"listed_with_a_run_with_no_instrument_failure":327,"listed_every_run_a_failure_of_syntologys_instrument":49,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/pose-estimation","prev":"/task/pose-estimation/papers/22","next":"/task/pose-estimation/papers/24","papers":[{"url":null,"slug":"equivariant-amortized-inference-of-poses-for","title":"Equivariant amortized inference of poses for cryo-EM","date":"2024-06-01","arxiv_id":"2406.01630","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-human-poses-across-datasets-a","title":"Estimating Human Poses Across Datasets: A Unified Skeleton and Multi-Teacher Distillation Approach","date":"2024-05-30","arxiv_id":"2405.20084","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-ai-based-anonymization-of","title":"Exploring AI-based Anonymization of Industrial Image and Video Data in the Context of Feature Preservation","date":"2024-05-29","arxiv_id":"2405.19173","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-dynamic-robot-assisted-hand-object","title":"Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction","date":"2024-05-29","arxiv_id":"2405.19531","repositories_listed":0,"syntology":null},{"url":null,"slug":"world-models-for-general-surgical-grasping","title":"World Models for General Surgical Grasping","date":"2024-05-28","arxiv_id":"2405.17940","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-based-learning-for-uav-tracking","title":"Clustering-based Learning for UAV Tracking and Pose Estimation","date":"2024-05-27","arxiv_id":"2405.16867","repositories_listed":0,"syntology":null},{"url":null,"slug":"occlusion-handling-in-3d-human-pose","title":"Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding","date":"2024-05-27","arxiv_id":"2405.17397","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-di-2-text-pose-discrete-diffusion-model","title":"$\\text{Di}^2\\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation","date":"2024-05-27","arxiv_id":"2405.17016","repositories_listed":0,"syntology":null},{"url":null,"slug":"intensity-and-texture-correction-of","title":"Intensity and Texture Correction of Omnidirectional Image Using Camera Images for Indirect Augmented Reality","date":"2024-05-25","arxiv_id":"2405.16008","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-neural-radiance-fields-for-pose","title":"Leveraging Neural Radiance Fields for Pose Estimation of an Unknown Space Object during Proximity Operations","date":"2024-05-21","arxiv_id":"2405.12728","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-knowledge-distillation-for-low","title":"Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation","date":"2024-05-19","arxiv_id":"2405.11448","repositories_listed":0,"syntology":null},{"url":null,"slug":"focus-on-low-resolution-information-multi","title":"Focus on Low-Resolution Information: Multi-Granular Information-Lossless Model for Low-Resolution Human Pose Estimation","date":"2024-05-19","arxiv_id":"2405.12247","repositories_listed":0,"syntology":null},{"url":null,"slug":"resolving-symmetry-ambiguity-in","title":"Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation","date":"2024-05-17","arxiv_id":"2405.10557","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-aware-sign-language-production","title":"Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder","date":"2024-05-16","arxiv_id":"2405.10423","repositories_listed":0,"syntology":null},{"url":null,"slug":"toon3d-seeing-cartoons-from-a-new-perspective","title":"Toon3D: Seeing Cartoons from New Perspectives","date":"2024-05-16","arxiv_id":"2405.10320","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-adaptive-q-face","title":"Task-adaptive Q-Face","date":"2024-05-15","arxiv_id":"2405.09059","repositories_listed":0,"syntology":null},{"url":null,"slug":"tp3m-transformer-based-pseudo-3d-image","title":"TP3M: Transformer-based Pseudo 3D Image Matching with Reference Image","date":"2024-05-14","arxiv_id":"2405.08434","repositories_listed":0,"syntology":null},{"url":null,"slug":"mgs-slam-monocular-sparse-tracking-and","title":"MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization","date":"2024-05-10","arxiv_id":"2405.06241","repositories_listed":0,"syntology":null},{"url":null,"slug":"free-moving-object-reconstruction-and-pose","title":"Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera","date":"2024-05-09","arxiv_id":"2405.05858","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversary-guided-motion-retargeting-for","title":"Adversary-Guided Motion Retargeting for Skeleton Anonymization","date":"2024-05-08","arxiv_id":"2405.05428","repositories_listed":0,"syntology":null},{"url":null,"slug":"gisr-geometric-initialization-and-silhouette","title":"GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation","date":"2024-05-08","arxiv_id":"2405.04890","repositories_listed":0,"syntology":null},{"url":null,"slug":"probradarm3f-mmwave-radar-based-human","title":"ProbRadarM3F: mmWave Radar based Human Skeletal Pose Estimation with Probability Map Guided Multi-Format Feature Fusion","date":"2024-05-08","arxiv_id":"2405.05164","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-priors-from-language-models","title":"Pose Priors from Language Models","date":"2024-05-06","arxiv_id":"2405.03689","repositories_listed":0,"syntology":null},{"url":null,"slug":"blending-distributed-nerfs-with-tri-stage","title":"Blending Distributed NeRFs with Tri-stage Robust Pose Optimization","date":"2024-05-05","arxiv_id":"2405.02880","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-hop-graph-transformer-network-for-3d","title":"Multi-hop graph transformer network for 3D human pose estimation","date":"2024-05-05","arxiv_id":"2405.03055","repositories_listed":0,"syntology":null},{"url":null,"slug":"behavior-imitation-for-manipulator-control","title":"Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning","date":"2024-05-02","arxiv_id":"2405.01284","repositories_listed":0,"syntology":null},{"url":null,"slug":"handssca-3d-hand-mesh-reconstruction-with","title":"HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images","date":"2024-05-02","arxiv_id":"2405.01066","repositories_listed":0,"syntology":null},{"url":null,"slug":"intervengen-interventional-data-generation","title":"IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning","date":"2024-05-02","arxiv_id":"2405.01472","repositories_listed":0,"syntology":null},{"url":null,"slug":"sports-analysis-and-vr-viewing-system-based","title":"Sports Analysis and VR Viewing System Based on Player Tracking and Pose Estimation with Multimodal and Multiview Sensors","date":"2024-05-02","arxiv_id":"2405.01112","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconstructing-satellites-in-3d-from-amateur","title":"Reconstructing Satellites in 3D from Amateur Telescope Images","date":"2024-04-29","arxiv_id":"2404.18394","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-avatar-animation-in-virtual-reality","title":"Self-Avatar Animation in Virtual Reality: Impact of Motion Signals Artifacts on the Full-Body Pose Reconstruction","date":"2024-04-29","arxiv_id":"2404.18628","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-3d-human-pose-estimation-with","title":"Hybrid 3D Human Pose Estimation with Monocular Video and Sparse IMUs","date":"2024-04-27","arxiv_id":"2404.17837","repositories_listed":0,"syntology":null},{"url":null,"slug":"slam-for-indoor-mapping-of-wide-area","title":"SLAM for Indoor Mapping of Wide Area Construction Environments","date":"2024-04-26","arxiv_id":"2404.17215","repositories_listed":0,"syntology":null},{"url":null,"slug":"cobra-confidence-score-based-on-shape","title":"COBRA -- COnfidence score Based on shape Regression Analysis for method-independent quality assessment of object pose estimation from single images","date":"2024-04-25","arxiv_id":"2404.16471","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepkalpose-an-enhanced-deep-learning-kalman","title":"DeepKalPose: An Enhanced Deep-Learning Kalman Filter for Temporally Consistent Monocular Vehicle Pose Estimation","date":"2024-04-25","arxiv_id":"2404.16558","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-local-feature-matching-for","title":"Transformer-Based Local Feature Matching for Multimodal Image Registration","date":"2024-04-25","arxiv_id":"2404.16802","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-2d-human-pose-estimation-via","title":"Semi-supervised 2D Human Pose Estimation via Adaptive Keypoint Masking","date":"2024-04-23","arxiv_id":"2404.14835","repositories_listed":0,"syntology":null},{"url":"/paper/upose3d-uncertainty-aware-3d-human-pose","slug":"upose3d-uncertainty-aware-3d-human-pose","title":"UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues","date":"2024-04-23","arxiv_id":"2404.14634","repositories_listed":0,"syntology":null},{"url":null,"slug":"ct-nerf-incremental-optimizing-neural","title":"CT-NeRF: Incremental Optimizing Neural Radiance Field and Poses with Complex Trajectory","date":"2024-04-22","arxiv_id":"2404.13896","repositories_listed":0,"syntology":null},{"url":null,"slug":"gait-recognition-from-highly-compressed","title":"Gait Recognition from Highly Compressed Videos","date":"2024-04-18","arxiv_id":"2404.12183","repositories_listed":0,"syntology":null},{"url":null,"slug":"spot-compose-a-framework-for-open-vocabulary","title":"Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds","date":"2024-04-18","arxiv_id":"2404.12440","repositories_listed":0,"syntology":null},{"url":null,"slug":"georef-geometric-alignment-across-shape","title":"GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement","date":"2024-04-17","arxiv_id":"2404.11139","repositories_listed":0,"syntology":null},{"url":null,"slug":"kathakali-hand-gesture-recognition-with","title":"Pose2Gest: A Few-Shot Model-Free Approach Applied In South Indian Classical Dance Gesture Recognition","date":"2024-04-17","arxiv_id":"2404.11205","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaitpoint-a-gait-recognition-network","title":"GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling","date":"2024-04-16","arxiv_id":"2404.10213","repositories_listed":0,"syntology":null},{"url":null,"slug":"hummuss-human-motion-understanding-using","title":"HumMUSS: Human Motion Understanding using State Space Models","date":"2024-04-16","arxiv_id":"2404.10880","repositories_listed":0,"syntology":null},{"url":null,"slug":"invariant-kalman-filtering-with-noise-free","title":"Invariant Kalman Filtering with Noise-Free Pseudo-Measurements","date":"2024-04-16","arxiv_id":"2404.10687","repositories_listed":0,"syntology":null},{"url":null,"slug":"letsgo-large-scale-garage-modeling-and","title":"LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives","date":"2024-04-15","arxiv_id":"2404.09748","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-human-scan-with-a-moving-event-camera","title":"3D Human Scan With A Moving Event Camera","date":"2024-04-12","arxiv_id":"2404.08504","repositories_listed":0,"syntology":null},{"url":null,"slug":"glid-pre-training-a-generalist-encoder","title":"GLID: Pre-training a Generalist Encoder-Decoder Vision Model","date":"2024-04-11","arxiv_id":"2404.07603","repositories_listed":0,"syntology":null},{"url":null,"slug":"separated-attention-an-improved-cycle-gan","title":"Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method","date":"2024-04-11","arxiv_id":"2404.07649","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-proximity-to-standard-planes-during","title":"Measuring proximity to standard planes during fetal brain ultrasound scanning","date":"2024-04-10","arxiv_id":"2404.07124","repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-joint-learning-of-depth-pose-and","title":"Incremental Joint Learning of Depth, Pose and Implicit Scene Representation on Monocular Camera in Large-scale Scenes","date":"2024-04-09","arxiv_id":"2404.06050","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-3d-aware-gans-from-unposed-images","title":"Learning 3D-Aware GANs from Unposed Images with Template Feature Field","date":"2024-04-08","arxiv_id":"2404.05705","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-category-level-object-pose","title":"Learning a Category-level Object Pose Estimator without Pose Annotations","date":"2024-04-08","arxiv_id":"2404.05626","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-hands-are-better-than-one-resolving-hand","title":"Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks","date":"2024-04-08","arxiv_id":"2404.05414","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-positive-contrastive-learning-with-pose","title":"Multi Positive Contrastive Learning with Pose-Consistent Generated Images","date":"2024-04-04","arxiv_id":"2404.03256","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-congealing-3d-aware-image-alignment-in-the","title":"3D Congealing: 3D-Aware Image Alignment in the Wild","date":"2024-04-02","arxiv_id":"2404.02125","repositories_listed":0,"syntology":null},{"url":null,"slug":"marrying-nerf-with-feature-matching-for-one","title":"Marrying NeRF with Feature Matching for One-step Pose Estimation","date":"2024-04-01","arxiv_id":"2404.00891","repositories_listed":0,"syntology":null},{"url":null,"slug":"omnilocalrf-omnidirectional-local-radiance","title":"OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos","date":"2024-03-31","arxiv_id":"2404.00676","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-framework-for-human-centric-point","title":"A Unified Framework for Human-centric Point Cloud Video Understanding","date":"2024-03-29","arxiv_id":"2403.20031","repositories_listed":0,"syntology":null},{"url":null,"slug":"fetaldiffusion-pose-controllable-3d-fetal-mri","title":"FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model","date":"2024-03-29","arxiv_id":"2404.00132","repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-embedding-clustering-for-occlusion","title":"Latent Embedding Clustering for Occlusion Robust Head Pose Estimation","date":"2024-03-29","arxiv_id":"2403.20251","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathematical-foundation-and-corrections-for","title":"Mathematical Foundation and Corrections for Full Range Head Pose Estimation","date":"2024-03-26","arxiv_id":"2403.18104","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-geometric-perspective-on-fusing-gaussian","title":"A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups","date":"2024-03-25","arxiv_id":"2403.16411","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-model-is-a-good-pose-estimator-from","title":"Diffusion Model is a Good Pose Estimator from 3D RF-Vision","date":"2024-03-24","arxiv_id":"2403.16198","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmented-reality-warnings-in-roadway-work","title":"Augmented Reality Warnings in Roadway Work Zones: Evaluating the Effect of Modality on Worker Reaction Times","date":"2024-03-22","arxiv_id":"2403.15571","repositories_listed":0,"syntology":null},{"url":null,"slug":"wscloc-weakly-supervised-sparse-view-camera","title":"WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization","date":"2024-03-22","arxiv_id":"2403.15272","repositories_listed":0,"syntology":null},{"url":"/paper/exploring-3d-human-pose-estimation-and","slug":"exploring-3d-human-pose-estimation-and","title":"Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset","date":"2024-03-21","arxiv_id":"2403.14447","repositories_listed":0,"syntology":null},{"url":null,"slug":"visibility-aware-keypoint-localization-for","title":"VAPO: Visibility-Aware Keypoint Localization for Efficient 6DoF Object Pose Estimation","date":"2024-03-21","arxiv_id":"2403.14559","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero123-6d-zero-shot-novel-view-synthesis-for","title":"Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation","date":"2024-03-21","arxiv_id":"2403.14279","repositories_listed":0,"syntology":null},{"url":null,"slug":"advancing-6d-pose-estimation-in-augmented","title":"Advancing 6D Pose Estimation in Augmented Reality -- Overcoming Projection Ambiguity with Uncontrolled Imagery","date":"2024-03-20","arxiv_id":"2403.13434","repositories_listed":0,"syntology":null},{"url":null,"slug":"dor3d-net-dense-ordinal-regression-network","title":"DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation","date":"2024-03-20","arxiv_id":"2403.13405","repositories_listed":0,"syntology":null},{"url":null,"slug":"manipose-a-comprehensive-benchmark-for-pose","title":"ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics","date":"2024-03-20","arxiv_id":"2403.13365","repositories_listed":0,"syntology":null},{"url":null,"slug":"iffnerf-initialisation-free-and-fast-6dof","title":"IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model","date":"2024-03-19","arxiv_id":"2403.12682","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-learning-canonical-space-for-multi-view","title":"Self-learning Canonical Space for Multi-view 3D Human Pose Estimation","date":"2024-03-19","arxiv_id":"2403.12440","repositories_listed":0,"syntology":null},{"url":null,"slug":"xpose-explainable-human-pose-estimation","title":"XPose: eXplainable Human Pose Estimation","date":"2024-03-19","arxiv_id":"2403.12370","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-accurate-and-real-time-relative-pose","title":"An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation","date":"2024-03-18","arxiv_id":"2403.11639","repositories_listed":0,"syntology":null},{"url":null,"slug":"genflow-generalizable-recurrent-flow-for-6d","title":"GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects","date":"2024-03-18","arxiv_id":"2403.11510","repositories_listed":0,"syntology":null},{"url":null,"slug":"hoidiffusion-generating-realistic-3d-hand","title":"HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data","date":"2024-03-18","arxiv_id":"2403.12011","repositories_listed":0,"syntology":null},{"url":null,"slug":"normalized-validity-scores-for-dnns-in","title":"Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction","date":"2024-03-18","arxiv_id":"2403.11665","repositories_listed":0,"syntology":null},{"url":null,"slug":"compact-3d-gaussian-splatting-for-dense","title":"Compact 3D Gaussian Splatting For Dense Visual SLAM","date":"2024-03-17","arxiv_id":"2403.11247","repositories_listed":0,"syntology":null},{"url":null,"slug":"dppe-dense-pose-estimation-in-a-plenoxels","title":"DPPE: Dense Pose Estimation in a Plenoxels Environment using Gradient Approximation","date":"2024-03-16","arxiv_id":"2403.10773","repositories_listed":0,"syntology":null},{"url":null,"slug":"gs-pose-cascaded-framework-for-generalizable","title":"GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting","date":"2024-03-15","arxiv_id":"2403.10683","repositories_listed":0,"syntology":null},{"url":null,"slug":"bop-challenge-2023-on-detection-segmentation","title":"BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects","date":"2024-03-14","arxiv_id":"2403.09799","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-real-time-omnidirectional-3d-multi","title":"Improving Real-Time Omnidirectional 3D Multi-Person Human Pose Estimation with People Matching and Unsupervised 2D-3D Lifting","date":"2024-03-14","arxiv_id":"2403.09437","repositories_listed":0,"syntology":null},{"url":null,"slug":"lm2d-lyrics-and-music-driven-dance-synthesis","title":"LM2D: Lyrics- and Music-Driven Dance Synthesis","date":"2024-03-14","arxiv_id":"2403.09407","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-in-human-centric-vision","title":"Data Augmentation in Human-Centric Vision","date":"2024-03-13","arxiv_id":"2403.08650","repositories_listed":0,"syntology":null},{"url":null,"slug":"prago-differentiable-multi-view-pose","title":"PRAGO: Differentiable Multi-View Pose Optimization From Objectness Detections","date":"2024-03-13","arxiv_id":"2403.08586","repositories_listed":0,"syntology":null},{"url":null,"slug":"category-agnostic-pose-estimation-for-point","title":"Category-Agnostic Pose Estimation for Point Clouds","date":"2024-03-12","arxiv_id":"2403.07437","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-microscope-to-ct-registration-using","title":"Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery","date":"2024-03-12","arxiv_id":"2403.07219","repositories_listed":0,"syntology":null},{"url":null,"slug":"q-slam-quadric-representations-for-monocular","title":"Q-SLAM: Quadric Representations for Monocular SLAM","date":"2024-03-12","arxiv_id":"2403.08125","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-quantification-with-deep","title":"Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation","date":"2024-03-12","arxiv_id":"2403.07741","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-simulated-avatar-from-head-mounted","title":"Real-Time Simulated Avatar from Head-Mounted Sensors","date":"2024-03-11","arxiv_id":"2403.06862","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-fusion-of-2d-pose-and","title":"Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition","date":"2024-03-11","arxiv_id":"2403.06577","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-polar-symmetry-in-designing","title":"Exploiting polar symmetry in designing equivariant observers for vision-based motion estimation","date":"2024-03-08","arxiv_id":"2403.05450","repositories_listed":0,"syntology":null},{"url":null,"slug":"that-s-my-point-compact-object-centric-lidar","title":"That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation","date":"2024-03-07","arxiv_id":"2403.04755","repositories_listed":0,"syntology":null},{"url":null,"slug":"far-flexible-accurate-and-robust-6dof","title":"FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation","date":"2024-03-05","arxiv_id":"2403.03221","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-lidar-odometry-and-mapping-using","title":"Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection","date":"2024-03-05","arxiv_id":"2403.03111","repositories_listed":0,"syntology":null},{"url":null,"slug":"nrdf-neural-riemannian-distance-fields-for","title":"NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors","date":"2024-03-05","arxiv_id":"2403.03122","repositories_listed":0,"syntology":null},{"url":null,"slug":"matchu-matching-unseen-objects-for-6d-pose","title":"MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images","date":"2024-03-03","arxiv_id":"2403.01517","repositories_listed":0,"syntology":null}],"record_sha256":"c1049a0a44bffe69cdc3e6d706acf2fb5253fa15a7e9567ad8741e9b9d878593","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}