{"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/24","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":24,"pages_in_order":43,"rows_per_page":100,"rows":[2301,2400],"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/23","next":"/task/pose-estimation/papers/25","papers":[{"url":null,"slug":"single-image-camera-calibration-with-model","title":"Single-image camera calibration with model-free distortion correction","date":"2024-03-02","arxiv_id":"2403.01263","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-convolutional-neural-networks-for-3","title":"Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach","date":"2024-02-29","arxiv_id":"2402.19062","repositories_listed":0,"syntology":null},{"url":null,"slug":"location-guided-head-pose-estimation-for","title":"Location-guided Head Pose Estimation for Fisheye Image","date":"2024-02-28","arxiv_id":"2402.18320","repositories_listed":0,"syntology":null},{"url":null,"slug":"drsi-net-dual-residual-spatial-interaction","title":"DRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person Pose Estimation","date":"2024-02-26","arxiv_id":"2402.16640","repositories_listed":0,"syntology":null},{"url":null,"slug":"gea-reconstructing-expressive-3d-gaussian","title":"GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos","date":"2024-02-26","arxiv_id":"2402.16607","repositories_listed":0,"syntology":null},{"url":null,"slug":"xai-based-gait-analysis-of-patients-walking","title":"XAI-based gait analysis of patients walking with Knee-Ankle-Foot orthosis using video cameras","date":"2024-02-25","arxiv_id":"2402.16175","repositories_listed":0,"syntology":null},{"url":null,"slug":"clipose-category-level-object-pose-estimation","title":"CLIPose: Category-Level Object Pose Estimation with Pre-trained Vision-Language Knowledge","date":"2024-02-24","arxiv_id":"2402.15726","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimized-deployment-of-deep-neural-networks","title":"Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones","date":"2024-02-23","arxiv_id":"2402.15273","repositories_listed":0,"syntology":null},{"url":null,"slug":"secure-navigation-using-landmark-based","title":"Secure Navigation using Landmark-based Localization in a GPS-denied Environment","date":"2024-02-22","arxiv_id":"2402.14280","repositories_listed":0,"syntology":null},{"url":null,"slug":"vlpose-bridging-the-domain-gap-in-pose","title":"VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning","date":"2024-02-22","arxiv_id":"2402.14456","repositories_listed":0,"syntology":null},{"url":null,"slug":"effloc-lightweight-vision-transformer-for","title":"EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization","date":"2024-02-21","arxiv_id":"2402.13537","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-throughput-visual-nano-drone-to-nano","title":"High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks","date":"2024-02-21","arxiv_id":"2402.13756","repositories_listed":0,"syntology":null},{"url":null,"slug":"securepose-automated-face-blurring-and-human","title":"SecurePose: Automated Face Blurring and Human Movement Kinematics Extraction from Videos Recorded in Clinical Settings","date":"2024-02-21","arxiv_id":"2402.14143","repositories_listed":0,"syntology":null},{"url":null,"slug":"landmark-based-localization-using-stereo","title":"Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment","date":"2024-02-19","arxiv_id":"2402.12551","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-matchers-for-dense-tracking","title":"Dense Matchers for Dense Tracking","date":"2024-02-17","arxiv_id":"2402.11287","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-surgical-performance-in","title":"Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review","date":"2024-02-17","arxiv_id":"2402.11288","repositories_listed":0,"syntology":null},{"url":null,"slug":"occlusion-resilient-3d-human-pose-estimation","title":"Occlusion Resilient 3D Human Pose Estimation","date":"2024-02-16","arxiv_id":"2402.11036","repositories_listed":0,"syntology":null},{"url":null,"slug":"foul-prediction-with-estimated-poses-from","title":"Foul prediction with estimated poses from soccer broadcast video","date":"2024-02-15","arxiv_id":"2402.09650","repositories_listed":0,"syntology":null},{"url":null,"slug":"imuoptimize-a-data-driven-approach-to-optimal","title":"IMUOptimize: A Data-Driven Approach to Optimal IMU Placement for Human Pose Estimation with Transformer Architecture","date":"2024-02-14","arxiv_id":"2402.08923","repositories_listed":0,"syntology":null},{"url":null,"slug":"are-semi-dense-detector-free-methods-good-at","title":"Are Semi-Dense Detector-Free Methods Good at Matching Local Features?","date":"2024-02-13","arxiv_id":"2402.08671","repositories_listed":0,"syntology":null},{"url":null,"slug":"extending-3d-body-pose-estimation-for-robotic","title":"Extending 3D body pose estimation for robotic-assistive therapies of autistic children","date":"2024-02-12","arxiv_id":"2402.08006","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-2d-3d-dense-correspondences-with","title":"Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation","date":"2024-02-09","arxiv_id":"2402.06436","repositories_listed":0,"syntology":null},{"url":null,"slug":"extending-6d-object-pose-estimators-for","title":"Extending 6D Object Pose Estimators for Stereo Vision","date":"2024-02-08","arxiv_id":"2402.05610","repositories_listed":0,"syntology":null},{"url":null,"slug":"ncrf-neural-contact-radiance-fields-for-free","title":"NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction","date":"2024-02-08","arxiv_id":"2402.05532","repositories_listed":0,"syntology":null},{"url":null,"slug":"4-dimensional-deformation-part-model-for-pose","title":"4-Dimensional deformation part model for pose estimation using Kalman filter constraints","date":"2024-02-07","arxiv_id":"2402.04953","repositories_listed":0,"syntology":null},{"url":null,"slug":"detection-and-pose-estimation-of-flat-texture","title":"Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training","date":"2024-02-07","arxiv_id":"2402.04979","repositories_listed":0,"syntology":null},{"url":null,"slug":"mod-slam-monocular-dense-mapping-for","title":"MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction","date":"2024-02-06","arxiv_id":"2402.03762","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-computer-vision-based-approach-for-stalking","title":"A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model","date":"2024-02-05","arxiv_id":"2402.03417","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-aware-testing-time-optimization","title":"Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation","date":"2024-02-04","arxiv_id":"2402.02339","repositories_listed":0,"syntology":null},{"url":null,"slug":"in-bed-pose-estimation-a-review","title":"In-Bed Pose Estimation: A Review","date":"2024-02-01","arxiv_id":"2402.00700","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmid-high-resolution-mmwave-imaging-for-human","title":"mmID: High-Resolution mmWave Imaging for Human Identification","date":"2024-02-01","arxiv_id":"2402.00996","repositories_listed":0,"syntology":null},{"url":null,"slug":"cmrnext-camera-to-lidar-matching-in-the-wild","title":"CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration","date":"2024-01-31","arxiv_id":"2402.00129","repositories_listed":0,"syntology":null},{"url":null,"slug":"mesa-matching-everything-by-segmenting","title":"MESA: Matching Everything by Segmenting Anything","date":"2024-01-30","arxiv_id":"2401.16741","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-positional-encoding-for-robust","title":"Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation","date":"2024-01-29","arxiv_id":"2401.16284","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-person-3d-pose-estimation-from-multi","title":"Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras","date":"2024-01-28","arxiv_id":"2401.15616","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-large-scale-fused-and-labeled","title":"Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas","date":"2024-01-28","arxiv_id":"2402.10077","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-robot-relative-pose-estimation-in-se-2","title":"Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization","date":"2024-01-27","arxiv_id":"2401.15313","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-deep-learning-for-efficient-visual","title":"Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones","date":"2024-01-26","arxiv_id":"2401.15236","repositories_listed":0,"syntology":null},{"url":"/paper/simpleego-predicting-probabilistic-body-pose","slug":"simpleego-predicting-probabilistic-body-pose","title":"SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras","date":"2024-01-26","arxiv_id":"2401.14785","repositories_listed":0,"syntology":null},{"url":null,"slug":"linear-relative-pose-estimation-founded-on","title":"Linear Relative Pose Estimation Founded on Pose-only Imaging Geometry","date":"2024-01-24","arxiv_id":"2401.13357","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-data-enables-faster-annotation-and","title":"Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter","date":"2024-01-24","arxiv_id":"2401.13405","repositories_listed":0,"syntology":null},{"url":null,"slug":"rgbd-objects-in-the-wild-scaling-real-world","title":"RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos","date":"2024-01-23","arxiv_id":"2401.12592","repositories_listed":0,"syntology":null},{"url":null,"slug":"mobilearloc-on-device-robust-absolute","title":"MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR","date":"2024-01-21","arxiv_id":"2401.11511","repositories_listed":0,"syntology":null},{"url":null,"slug":"scenes-subpixel-correspondence-estimation","title":"SCENES: Subpixel Correspondence Estimation With Epipolar Supervision","date":"2024-01-19","arxiv_id":"2401.10886","repositories_listed":0,"syntology":null},{"url":"/paper/source-free-and-image-only-unsupervised","slug":"source-free-and-image-only-unsupervised","title":"Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation","date":"2024-01-19","arxiv_id":"2401.10848","repositories_listed":0,"syntology":null},{"url":null,"slug":"dk-slam-monocular-visual-slam-with-deep","title":"DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing","date":"2024-01-17","arxiv_id":"2401.09160","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaboratively-self-supervised-video","title":"Collaboratively Self-supervised Video Representation Learning for Action Recognition","date":"2024-01-15","arxiv_id":"2401.07584","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-landmark-detection-on-human-point-clouds-a","title":"3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework","date":"2024-01-14","arxiv_id":"2401.07251","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-based-automatic-lameness-detection-of","title":"Video-based Automatic Lameness Detection of Dairy Cows using Pose Estimation and Multiple Locomotion Traits","date":"2024-01-10","arxiv_id":"2401.05202","repositories_listed":0,"syntology":null},{"url":null,"slug":"d3prefiner-a-diffusion-based-denoise-method","title":"D3PRefiner: A Diffusion-based Denoise Method for 3D Human Pose Refinement","date":"2024-01-08","arxiv_id":"2401.03914","repositories_listed":0,"syntology":null},{"url":null,"slug":"big-data-and-deep-learning-in-smart-cities-a","title":"Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems","date":"2024-01-07","arxiv_id":"2401.03587","repositories_listed":0,"syntology":null},{"url":null,"slug":"rhobin-challenge-reconstruction-of-human","title":"RHOBIN Challenge: Reconstruction of Human Object Interaction","date":"2024-01-07","arxiv_id":"2401.04143","repositories_listed":0,"syntology":null},{"url":null,"slug":"fit-ngp-fitting-object-models-to-neural","title":"Fit-NGP: Fitting Object Models to Neural Graphics Primitives","date":"2024-01-04","arxiv_id":"2401.02357","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-of-3d-human-body-pose-and-shape","title":"Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications","date":"2024-01-04","arxiv_id":"2401.02383","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-support-information-mining-for","title":"Dynamic Support Information Mining for Category-Agnostic Pose Estimation","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-privacy-preserving-visual","title":"Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"far-flexible-accurate-and-robust-6dof-1","title":"FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-adaptation-for-human-pose-estimation-via","title":"Fast Adaptation for Human Pose Estimation via Meta-Optimization","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-depth-consistency-in-rgbd-relative","title":"Geometry Depth Consistency in RGBD Relative Pose Estimation","date":"2024-01-01","arxiv_id":"2401.00639","repositories_listed":0,"syntology":null},{"url":null,"slug":"housecat6d-a-large-scale-multi-modal-category-1","title":"HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"monodiff-monocular-3d-object-detection-and","title":"MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"panopose-self-supervised-relative-pose","title":"PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"person-in-wifi-3d-end-to-end-multi-person-3d","title":"Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"poseirm-enhance-3d-human-pose-estimation-on","title":"PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"splatam-splat-track-map-3d-gaussians-for-1","title":"SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unifying-correspondence-pose-and-nerf-for-1","title":"Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"view-from-above-orthogonal-view-aware-cross","title":"View From Above: Orthogonal-View aware Cross-view Localization","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/3d-human-pose-perception-from-egocentric","slug":"3d-human-pose-perception-from-egocentric","title":"3D Human Pose Perception from Egocentric Stereo Videos","date":"2023-12-30","arxiv_id":"2401.00889","repositories_listed":0,"syntology":null},{"url":null,"slug":"6d-diff-a-keypoint-diffusion-framework-for-6d","title":"6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation","date":"2023-12-29","arxiv_id":"2401.00029","repositories_listed":0,"syntology":null},{"url":null,"slug":"evplug-learn-a-plug-and-play-module-for-event","title":"EvPlug: Learn a Plug-and-Play Module for Event and Image Fusion","date":"2023-12-28","arxiv_id":"2312.16933","repositories_listed":0,"syntology":null},{"url":null,"slug":"camera-calibration-for-the-surround-view","title":"Camera calibration for the surround-view system: a benchmark and dataset","date":"2023-12-27","arxiv_id":"2312.16499","repositories_listed":0,"syntology":null},{"url":"/paper/hmp-hand-motion-priors-for-pose-and-shape","slug":"hmp-hand-motion-priors-for-pose-and-shape","title":"HMP: Hand Motion Priors for Pose and Shape Estimation from Video","date":"2023-12-27","arxiv_id":"2312.16737","repositories_listed":0,"syntology":null},{"url":null,"slug":"lifting-by-image-leveraging-image-cues-for","title":"Lifting by Image -- Leveraging Image Cues for Accurate 3D Human Pose Estimation","date":"2023-12-25","arxiv_id":"2312.15636","repositories_listed":0,"syntology":null},{"url":null,"slug":"posevinet-distracted-driver-action","title":"PoseViNet: Distracted Driver Action Recognition Framework Using Multi-View Pose Estimation and Vision Transformer","date":"2023-12-22","arxiv_id":"2312.14577","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-3d-reconstruction-from-single","title":"Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning","date":"2023-12-22","arxiv_id":"2312.14432","repositories_listed":0,"syntology":null},{"url":null,"slug":"nerf-vo-real-time-sparse-visual-odometry-with","title":"NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields","date":"2023-12-20","arxiv_id":"2312.13471","repositories_listed":0,"syntology":null},{"url":null,"slug":"unified-framework-for-diffusion-generative","title":"Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics","date":"2023-12-18","arxiv_id":"2312.11707","repositories_listed":0,"syntology":null},{"url":null,"slug":"pnerfloc-visual-localization-with-point-based","title":"PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields","date":"2023-12-17","arxiv_id":"2312.10649","repositories_listed":0,"syntology":null},{"url":null,"slug":"scene-3-d-reconstruction-system-in-scattering","title":"Scene 3-D Reconstruction System in Scattering Medium","date":"2023-12-14","arxiv_id":"2312.09005","repositories_listed":0,"syntology":null},{"url":null,"slug":"c-bev-contrastive-bird-s-eye-view-training","title":"C-BEV: Contrastive Bird's Eye View Training for Cross-View Image Retrieval and 3-DoF Pose Estimation","date":"2023-12-13","arxiv_id":"2312.08060","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-models-enable-zero-shot-pose","title":"Diffusion Models Enable Zero-Shot Pose Estimation for Lower-Limb Prosthetic Users","date":"2023-12-13","arxiv_id":"2312.07854","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-multi-object-pose-estimation-using","title":"Efficient Multi-Object Pose Estimation using Multi-Resolution Deformable Attention and Query Aggregation","date":"2023-12-13","arxiv_id":"2312.08268","repositories_listed":0,"syntology":null},{"url":null,"slug":"three-filters-to-normal-revisiting","title":"Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation","date":"2023-12-13","arxiv_id":"2312.07964","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-hand-pose-estimation-in-egocentric-images","title":"3D Hand Pose Estimation in Everyday Egocentric Images","date":"2023-12-11","arxiv_id":"2312.06583","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-the-robustness-of-3d-human-pose","title":"Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input","date":"2023-12-11","arxiv_id":"2312.06797","repositories_listed":0,"syntology":null},{"url":null,"slug":"pointvoxel-a-simple-and-effective-pipeline","title":"LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-frame 3D Human Pose Estimation","date":"2023-12-11","arxiv_id":"2312.06409","repositories_listed":0,"syntology":null},{"url":null,"slug":"correspondences-of-the-third-kind-camera-pose","title":"Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection","date":"2023-12-07","arxiv_id":"2312.04527","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-and-restoring-non-standard-hands-in","title":"Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated Images","date":"2023-12-07","arxiv_id":"2312.04236","repositories_listed":0,"syntology":null},{"url":null,"slug":"cooperative-probabilistic-trajectory","title":"Cooperative Probabilistic Trajectory Forecasting under Occlusion","date":"2023-12-06","arxiv_id":"2312.03296","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-simulation-framework-for-visual-and","title":"A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis","date":"2023-12-05","arxiv_id":"2312.02613","repositories_listed":0,"syntology":null},{"url":null,"slug":"polyfit-a-peg-in-hole-assembly-framework-for","title":"PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation","date":"2023-12-05","arxiv_id":"2312.02531","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangled-interaction-representation-for","title":"Disentangled Interaction Representation for One-Stage Human-Object Interaction Detection","date":"2023-12-04","arxiv_id":"2312.01713","repositories_listed":0,"syntology":null},{"url":null,"slug":"genem-physics-informed-generative-cryo","title":"CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy","date":"2023-12-04","arxiv_id":"2312.02235","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-person-matching-and-3d-pose","title":"Multi-View Person Matching and 3D Pose Estimation with Arbitrary Uncalibrated Camera Networks","date":"2023-12-04","arxiv_id":"2312.01561","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-localization-utilizing-relative-spatio","title":"Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras","date":"2023-12-01","arxiv_id":"2312.00500","repositories_listed":0,"syntology":null},{"url":"/paper/learning-unorthogonalized-matrices-for","slug":"learning-unorthogonalized-matrices-for","title":"Learning Unorthogonalized Matrices for Rotation Estimation","date":"2023-12-01","arxiv_id":"2312.00462","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-6d-pose-estimation-meets-zero-shot","title":"FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models","date":"2023-12-01","arxiv_id":"2312.00947","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-vocabulary-object-6d-pose-estimation","title":"Open-vocabulary object 6D pose estimation","date":"2023-12-01","arxiv_id":"2312.00690","repositories_listed":0,"syntology":null},{"url":"/paper/foundpose-unseen-object-pose-estimation-with","slug":"foundpose-unseen-object-pose-estimation-with","title":"FoundPose: Unseen Object Pose Estimation with Foundation Features","date":"2023-11-30","arxiv_id":"2311.18809","repositories_listed":0,"syntology":null},{"url":null,"slug":"md-splatting-learning-metric-deformation-from","title":"DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation","date":"2023-11-30","arxiv_id":"2312.00583","repositories_listed":0,"syntology":null}],"record_sha256":"754f2ecd1ba39985795254e8fd6b2e978232c263db80594ced8d5941d0fa01e7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}