{"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/18","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":18,"pages_in_order":43,"rows_per_page":100,"rows":[1701,1800],"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/17","next":"/task/pose-estimation/papers/19","papers":[{"url":null,"slug":"monocular-one-shot-metric-depth-alignment-for","title":"Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping","date":"2025-06-20","arxiv_id":"2506.17110","repositories_listed":0,"syntology":null},{"url":null,"slug":"star-pose-efficient-low-resolution-video","title":"STAR-Pose: Efficient Low-Resolution Video Human Pose Estimation via Spatial-Temporal Adaptive Super-Resolution","date":"2025-06-19","arxiv_id":"2506.16061","repositories_listed":0,"syntology":null},{"url":"/paper/extpose-robust-and-coherent-pose-estimation","slug":"extpose-robust-and-coherent-pose-estimation","title":"ExtPose: Robust and Coherent Pose Estimation by Extending ViTs","date":"2025-06-18","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"human-motion-capture-from-loose-and-sparse","title":"Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models","date":"2025-06-18","arxiv_id":"2506.15290","repositories_listed":0,"syntology":null},{"url":null,"slug":"prism-loc-a-lightweight-long-range-lidar","title":"PRISM-Loc: a Lightweight Long-range LiDAR Localization in Urban Environments with Topological Maps","date":"2025-06-18","arxiv_id":"2506.15849","repositories_listed":0,"syntology":null},{"url":null,"slug":"ra-nerf-robust-neural-radiance-field","title":"RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories","date":"2025-06-18","arxiv_id":"2506.15242","repositories_listed":0,"syntology":null},{"url":null,"slug":"jenga-object-selection-and-pose-estimation","title":"JENGA: Object selection and pose estimation for robotic grasping from a stack","date":"2025-06-16","arxiv_id":"2506.13425","repositories_listed":0,"syntology":null},{"url":null,"slug":"pf-lhm-3d-animatable-avatar-reconstruction","title":"PF-LHM: 3D Animatable Avatar Reconstruction from Pose-free Articulated Human Images","date":"2025-06-16","arxiv_id":"2506.13766","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-large-scale-physically-based-synthetic","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","date":"2025-06-15","arxiv_id":"2506.12782","repositories_listed":0,"syntology":null},{"url":null,"slug":"vitascope-visuo-tactile-implicit","title":"ViTaSCOPE: Visuo-tactile Implicit Representation for In-hand Pose and Extrinsic Contact Estimation","date":"2025-06-13","arxiv_id":"2506.12239","repositories_listed":0,"syntology":null},{"url":null,"slug":"occlusion-aware-3d-hand-object-pose","title":"Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders","date":"2025-06-12","arxiv_id":"2506.10816","repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-and-efficient-zero-shot-6d-pose","title":"Accurate and efficient zero-shot 6D pose estimation with frozen foundation models","date":"2025-06-11","arxiv_id":"2506.09784","repositories_listed":0,"syntology":null},{"url":null,"slug":"chip-a-multi-sensor-dataset-for-6d-pose","title":"CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings","date":"2025-06-11","arxiv_id":"2506.09699","repositories_listed":0,"syntology":null},{"url":null,"slug":"fluoroscopic-shape-and-pose-tracking-of","title":"Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers","date":"2025-06-11","arxiv_id":"2506.09934","repositories_listed":0,"syntology":null},{"url":null,"slug":"arrowpose-segmentation-detection-and-5-dof","title":"ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds","date":"2025-06-10","arxiv_id":"2506.08699","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-scoring-with-3d-gaussian","title":"Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation","date":"2025-06-09","arxiv_id":"2506.07338","repositories_listed":0,"syntology":null},{"url":null,"slug":"ua-pose-uncertainty-aware-6d-object-pose-1","title":"UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References","date":"2025-06-09","arxiv_id":"2506.07996","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-generation-to-generalization-emergent","title":"From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models","date":"2025-06-08","arxiv_id":"2506.07280","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-inertial-pose-a-deep-learning-approach","title":"Deep Inertial Pose: A deep learning approach for human pose estimation","date":"2025-06-07","arxiv_id":"2506.06850","repositories_listed":0,"syntology":null},{"url":null,"slug":"dy3dgs-slam-monocular-3d-gaussian-splatting","title":"Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments","date":"2025-06-06","arxiv_id":"2506.05965","repositories_listed":0,"syntology":null},{"url":null,"slug":"surgsplat-progressive-geometry-constrained","title":"SurGSplat: Progressive Geometry-Constrained Gaussian Splatting for Surgical Scene Reconstruction","date":"2025-06-06","arxiv_id":"2506.05935","repositories_listed":0,"syntology":null},{"url":null,"slug":"you-only-estimate-once-unified-one-stage-real","title":"You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping","date":"2025-06-06","arxiv_id":"2506.05719","repositories_listed":0,"syntology":null},{"url":null,"slug":"czechlynx-a-dataset-for-individual","title":"CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx","date":"2025-06-05","arxiv_id":"2506.04931","repositories_listed":0,"syntology":null},{"url":null,"slug":"lgm-pose-a-lightweight-global-modeling","title":"LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation","date":"2025-06-05","arxiv_id":"2506.04561","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-fly-reconstruction-for-large-scale","title":"On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images","date":"2025-06-05","arxiv_id":"2506.05558","repositories_listed":0,"syntology":null},{"url":null,"slug":"rectified-point-flow-generic-point-cloud-pose","title":"Rectified Point Flow: Generic Point Cloud Pose Estimation","date":"2025-06-05","arxiv_id":"2506.05282","repositories_listed":0,"syntology":null},{"url":null,"slug":"cuvslam-cuda-accelerated-visual-odometry","title":"cuVSLAM: CUDA accelerated visual odometry and mapping","date":"2025-06-04","arxiv_id":"2506.04359","repositories_listed":0,"syntology":null},{"url":null,"slug":"voyager-long-range-and-world-consistent-video","title":"Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation","date":"2025-06-04","arxiv_id":"2506.04225","repositories_listed":0,"syntology":null},{"url":null,"slug":"6d-pose-estimation-on-point-cloud-data","title":"6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly","date":"2025-05-30","arxiv_id":"2505.24669","repositories_listed":0,"syntology":null},{"url":null,"slug":"category-level-6d-object-pose-estimation-in-1","title":"Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data","date":"2025-05-30","arxiv_id":"2505.24636","repositories_listed":0,"syntology":null},{"url":null,"slug":"pcie-pose-solution-for-egoexo4d-pose-and","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","date":"2025-05-30","arxiv_id":"2505.24411","repositories_listed":0,"syntology":null},{"url":null,"slug":"4dtam-non-rigid-tracking-and-mapping-via","title":"4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians","date":"2025-05-28","arxiv_id":"2505.22859","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-based-egocentric-human-pose-estimation","title":"Event-based Egocentric Human Pose Estimation in Dynamic Environment","date":"2025-05-28","arxiv_id":"2505.22007","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiformer-a-multi-person-pose-estimation","title":"MultiFormer: A Multi-Person Pose Estimation System Based on CSI and Attention Mechanism","date":"2025-05-28","arxiv_id":"2505.22555","repositories_listed":0,"syntology":null},{"url":null,"slug":"reassemblenet-learnable-keypoints-and","title":"ReassembleNet: Learnable Keypoints and Diffusion for 2D Fresco Reconstruction","date":"2025-05-27","arxiv_id":"2505.21117","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-splatter-a-3d-gaussian-splatting-model","title":"Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance","date":"2025-05-23","arxiv_id":"2505.18342","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-dynamic-3d-reconstruction-of-hand","title":"Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery","date":"2025-05-23","arxiv_id":"2505.17677","repositories_listed":0,"syntology":null},{"url":null,"slug":"gmatch-geometry-constrained-feature-matching","title":"GMatch: Geometry-Constrained Feature Matching for RGB-D Object Pose Estimation","date":"2025-05-22","arxiv_id":"2505.16144","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-texture-and-shape-independent-3d","title":"Towards Texture- And Shape-Independent 3D Keypoint Estimation in Birds","date":"2025-05-22","arxiv_id":"2505.16633","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-focus-actor-for-data-efficient-robot","title":"Object-Focus Actor for Data-efficient Robot Generalization Dexterous Manipulation","date":"2025-05-21","arxiv_id":"2505.15098","repositories_listed":0,"syntology":null},{"url":null,"slug":"uptor-unified-3d-human-pose-dynamics-and","title":"UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction","date":"2025-05-20","arxiv_id":"2505.14866","repositories_listed":0,"syntology":null},{"url":null,"slug":"kintwin-imitation-learning-with-torque-and","title":"KinTwin: Imitation Learning with Torque and Muscle Driven Biomechanical Models Enables Precise Replication of Able-Bodied and Impaired Movement from Markerless Motion Capture","date":"2025-05-19","arxiv_id":"2505.13436","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-way-up-a-dataset-for-hold-usage-detection","title":"The Way Up: A Dataset for Hold Usage Detection in Sport Climbing","date":"2025-05-19","arxiv_id":"2505.12854","repositories_listed":0,"syntology":null},{"url":null,"slug":"black-box-adversaries-from-latent-space","title":"Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation","date":"2025-05-17","arxiv_id":"2505.12009","repositories_listed":0,"syntology":null},{"url":null,"slug":"elderfallguard-real-time-iot-and-computer","title":"ElderFallGuard: Real-Time IoT and Computer Vision-Based Fall Detection System for Elderly Safety","date":"2025-05-17","arxiv_id":"2505.11845","repositories_listed":0,"syntology":null},{"url":null,"slug":"keypoints-as-dynamic-centroids-for-unified","title":"Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation","date":"2025-05-17","arxiv_id":"2505.12130","repositories_listed":0,"syntology":null},{"url":null,"slug":"2505-10841","title":"RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects","date":"2025-05-16","arxiv_id":"2505.10841","repositories_listed":0,"syntology":null},{"url":null,"slug":"2505-11439","title":"SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision","date":"2025-05-16","arxiv_id":"2505.11439","repositories_listed":0,"syntology":null},{"url":null,"slug":"enabling-privacy-aware-ai-based-ergonomic","title":"Enabling Privacy-Aware AI-Based Ergonomic Analysis","date":"2025-05-12","arxiv_id":"2505.07306","repositories_listed":0,"syntology":null},{"url":null,"slug":"sleep-position-classification-using-transfer","title":"Sleep Position Classification using Transfer Learning for Bed-based Pressure Sensors","date":"2025-05-12","arxiv_id":"2505.08111","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-dance-video-archives-challenge-computer","title":"When Dance Video Archives Challenge Computer Vision","date":"2025-05-12","arxiv_id":"2505.07249","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-perception-for-tactile-sensing-a-task","title":"Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach","date":"2025-05-09","arxiv_id":"2505.06182","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-efficient-method-for-accurate-pose","title":"An Efficient Method for Accurate Pose Estimation and Error Correction of Cuboidal Objects","date":"2025-05-08","arxiv_id":"2505.04962","repositories_listed":0,"syntology":null},{"url":null,"slug":"progressive-inertial-poser-progressive-real","title":"Progressive Inertial Poser: Progressive Real-Time Kinematic Chain Estimation for 3D Full-Body Pose from Three IMU Sensors","date":"2025-05-08","arxiv_id":"2505.05336","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-of-visual-trackers-for","title":"Comparison of Visual Trackers for Biomechanical Analysis of Running","date":"2025-05-07","arxiv_id":"2505.04713","repositories_listed":0,"syntology":null},{"url":"/paper/one2any-one-reference-6d-pose-estimation-for","slug":"one2any-one-reference-6d-pose-estimation-for","title":"One2Any: One-Reference 6D Pose Estimation for Any Object","date":"2025-05-07","arxiv_id":"2505.04109","repositories_listed":0,"syntology":{"n":19,"n_ran":13,"n_constructed":0,"n_ran_checked":13,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":17,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/one2any-one-reference-6d-pose-estimation-for#ran","syntology_url":"https://syntology.ai/paper/2505.04109","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.04109"}},"official":null}},{"url":null,"slug":"pose-estimation-for-intra-cardiac","title":"Pose Estimation for Intra-cardiac Echocardiography Catheter via AI-Based Anatomical Understanding","date":"2025-05-07","arxiv_id":"2505.07851","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-behavior-intelligence-technology","title":"Artificial Behavior Intelligence: Technology, Challenges, and Future Directions","date":"2025-05-06","arxiv_id":"2505.03315","repositories_listed":0,"syntology":null},{"url":null,"slug":"polar-coordinate-based-2d-pose-prior-with","title":"Polar Coordinate-Based 2D Pose Prior with Neural Distance Field","date":"2025-05-06","arxiv_id":"2505.03445","repositories_listed":0,"syntology":null},{"url":null,"slug":"6d-pose-estimation-on-spoons-and-hands","title":"6D Pose Estimation on Spoons and Hands","date":"2025-05-05","arxiv_id":"2505.02335","repositories_listed":0,"syntology":null},{"url":null,"slug":"corr2distrib-making-ambiguous-correspondences","title":"Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions","date":"2025-05-05","arxiv_id":"2505.02501","repositories_listed":0,"syntology":null},{"url":null,"slug":"dance-of-fireworks-an-interactive-broadcast","title":"Dance of Fireworks: An Interactive Broadcast Gymnastics Training System Based on Pose Estimation","date":"2025-05-05","arxiv_id":"2505.02690","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-birotation-solution-for-relative-pose","title":"A Birotation Solution for Relative Pose Problems","date":"2025-05-04","arxiv_id":"2505.02025","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-normalizing-flows-for-uncertainty","title":"Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation","date":"2025-05-04","arxiv_id":"2505.02287","repositories_listed":0,"syntology":null},{"url":null,"slug":"aquags-fast-underwater-scene-reconstruction","title":"AquaGS: Fast Underwater Scene Reconstruction with SfM-Free Gaussian Splatting","date":"2025-05-03","arxiv_id":"2505.01799","repositories_listed":0,"syntology":null},{"url":null,"slug":"near-field-5d-pose-estimation-using","title":"Near-field 5D Pose Estimation using Reconfigurable Intelligent Surfaces","date":"2025-05-03","arxiv_id":"2505.01829","repositories_listed":0,"syntology":null},{"url":null,"slug":"posepilot-steering-camera-pose-for-generative","title":"PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth","date":"2025-05-03","arxiv_id":"2505.01729","repositories_listed":0,"syntology":null},{"url":null,"slug":"t-graph-enhancing-sparse-view-camera-pose","title":"T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph","date":"2025-05-02","arxiv_id":"2505.01207","repositories_listed":0,"syntology":null},{"url":null,"slug":"dietary-intake-estimation-via-continuous-3d","title":"Dietary Intake Estimation via Continuous 3D Reconstruction of Food","date":"2025-05-01","arxiv_id":"2505.00606","repositories_listed":0,"syntology":null},{"url":null,"slug":"interloc-lidar-based-intersection","title":"InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method","date":"2025-05-01","arxiv_id":"2505.00512","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-monocular-visual-drone-model","title":"Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling","date":"2025-04-30","arxiv_id":"2504.21695","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-event-based-optical-marker","title":"A Survey on Event-based Optical Marker Systems","date":"2025-04-29","arxiv_id":"2504.20736","repositories_listed":0,"syntology":null},{"url":null,"slug":"adept-annotation-denoising-auxiliary-tasks","title":"Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining","date":"2025-04-29","arxiv_id":"2504.20800","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-visual-slam-for-in-the-wild","title":"Large-scale visual SLAM for in-the-wild videos","date":"2025-04-29","arxiv_id":"2504.20496","repositories_listed":0,"syntology":null},{"url":null,"slug":"category-level-and-open-set-object-pose","title":"Category-Level and Open-Set Object Pose Estimation for Robotics","date":"2025-04-28","arxiv_id":"2504.19572","repositories_listed":0,"syntology":null},{"url":null,"slug":"gan-slam-real-time-gan-aided-floor-plan","title":"GAN-SLAM: Real-Time GAN Aided Floor Plan Creation Through SLAM","date":"2025-04-28","arxiv_id":"2504.19653","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformation-translation-occupancy-grid","title":"Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM","date":"2025-04-28","arxiv_id":"2504.19654","repositories_listed":0,"syntology":null},{"url":null,"slug":"ssd-poser-avatar-pose-estimation-with-state","title":"SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations","date":"2025-04-25","arxiv_id":"2504.18332","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-the-feasibility-of-internet-sourced","title":"Assessing the Feasibility of Internet-Sourced Video for Automatic Cattle Lameness Detection","date":"2025-04-23","arxiv_id":"2504.16404","repositories_listed":0,"syntology":null},{"url":null,"slug":"signx-the-foundation-model-for-sign","title":"SignX: The Foundation Model for Sign Recognition","date":"2025-04-22","arxiv_id":"2504.16315","repositories_listed":0,"syntology":null},{"url":null,"slug":"smallgs-gaussian-splatting-based-camera-pose","title":"SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos","date":"2025-04-22","arxiv_id":"2504.17810","repositories_listed":0,"syntology":null},{"url":null,"slug":"instance-adaptive-keypoint-learning-with","title":"Instance-Adaptive Keypoint Learning with Local-to-Global Geometric Aggregation for Category-Level Object Pose Estimation","date":"2025-04-21","arxiv_id":"2504.15134","repositories_listed":0,"syntology":null},{"url":null,"slug":"back-on-track-bundle-adjustment-for-dynamic","title":"Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction","date":"2025-04-20","arxiv_id":"2504.14516","repositories_listed":0,"syntology":null},{"url":null,"slug":"imitation-learning-with-precisely-labeled","title":"Imitation Learning with Precisely Labeled Human Demonstrations","date":"2025-04-18","arxiv_id":"2504.13803","repositories_listed":0,"syntology":null},{"url":null,"slug":"mono3r-exploiting-monocular-cues-for","title":"Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction","date":"2025-04-18","arxiv_id":"2504.13419","repositories_listed":0,"syntology":null},{"url":null,"slug":"odhsr-online-dense-3d-reconstruction-of","title":"ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos","date":"2025-04-17","arxiv_id":"2504.13167","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-cross-domain-3d-human-pose","title":"Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms","date":"2025-04-17","arxiv_id":"2504.12699","repositories_listed":0,"syntology":null},{"url":null,"slug":"vita-zero-zero-shot-visuotactile-object-6d","title":"ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation","date":"2025-04-17","arxiv_id":"2504.13179","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-based-robust-lidar-place","title":"Diffusion Based Robust LiDAR Place Recognition","date":"2025-04-16","arxiv_id":"2504.12412","repositories_listed":0,"syntology":null},{"url":null,"slug":"regist3r-incremental-registration-with-stereo","title":"Regist3R: Incremental Registration with Stereo Foundation Model","date":"2025-04-16","arxiv_id":"2504.12356","repositories_listed":0,"syntology":null},{"url":null,"slug":"cap-net-a-unified-network-for-6d-pose-and","title":"CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image","date":"2025-04-15","arxiv_id":"2504.11230","repositories_listed":0,"syntology":null},{"url":null,"slug":"dmagaze-gaze-estimation-based-on-feature","title":"DMAGaze: Gaze Estimation Based on Feature Disentanglement and Multi-Scale Attention","date":"2025-04-15","arxiv_id":"2504.11160","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-3d-human-pose-estimation-models","title":"Benchmarking 3D Human Pose Estimation Models Under Occlusions","date":"2025-04-14","arxiv_id":"2504.10350","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentially-private-2d-human-pose","title":"Differentially Private 2D Human Pose Estimation","date":"2025-04-14","arxiv_id":"2504.10190","repositories_listed":0,"syntology":null},{"url":null,"slug":"tt3d-table-tennis-3d-reconstruction","title":"TT3D: Table Tennis 3D Reconstruction","date":"2025-04-14","arxiv_id":"2504.10035","repositories_listed":0,"syntology":null},{"url":null,"slug":"easyreg-easy-depth-based-markerless","title":"EasyREG: Easy Depth-Based Markerless Registration and Tracking using Augmented Reality Device for Surgical Guidance","date":"2025-04-13","arxiv_id":"2504.09498","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-constrained-optimization-approach-for-1","title":"A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds","date":"2025-04-12","arxiv_id":"2504.09129","repositories_listed":0,"syntology":null},{"url":null,"slug":"hardware-algorithms-and-applications-of-the","title":"Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: a Review","date":"2025-04-11","arxiv_id":"2504.08588","repositories_listed":0,"syntology":null},{"url":"/paper/multi-person-physics-based-pose-estimation","slug":"multi-person-physics-based-pose-estimation","title":"Multi-person Physics-based Pose Estimation for Combat Sports","date":"2025-04-11","arxiv_id":"2504.08175","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-invisible-egohand-3d-hand-forecasting","title":"The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation","date":"2025-04-11","arxiv_id":"2504.08654","repositories_listed":0,"syntology":null}],"record_sha256":"2b0035c97944bc604ab5dc1b65cac32e8da7174cc98b400effc98d0b9ec1f33c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}