{"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/3d-pose-estimation/papers/3","list_of":"/task/3d-pose-estimation","task":"3D 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":3,"pages_in_order":4,"rows_per_page":100,"rows":[201,300],"of":379,"counts":{"archive_papers_tagged":379,"with_a_code_link":154,"where_syntology_ran_a_sample":41,"not_listed_spam_title":0,"listed":379,"listed_where_code_ran":41,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":36,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":36,"listed_every_run_a_failure_of_syntologys_instrument":5,"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/3d-pose-estimation","prev":"/task/3d-pose-estimation/papers/2","next":"/task/3d-pose-estimation/papers/4","papers":[{"url":null,"slug":"mpm-a-unified-2d-3d-human-pose-representation","title":"MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling","date":"2023-06-29","arxiv_id":"2306.17201","repositories_listed":0,"syntology":null},{"url":null,"slug":"adding-3d-geometry-control-to-diffusion","title":"Generating Images with 3D Annotations Using Diffusion Models","date":"2023-06-13","arxiv_id":"2306.08103","repositories_listed":0,"syntology":null},{"url":null,"slug":"strengths-and-weaknesses-of-3d-pose","title":"Strengths and Weaknesses of 3D Pose Estimation and Inertial Motion Capture System for Movement Therapy","date":"2023-06-01","arxiv_id":"2306.06117","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-category-level-3d-pose-estimation-from","title":"Robust Category-Level 3D Pose Estimation from Synthetic Data","date":"2023-05-25","arxiv_id":"2305.16124","repositories_listed":0,"syntology":null},{"url":null,"slug":"ood-cv-v2-an-extended-benchmark-for","title":"OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images","date":"2023-04-17","arxiv_id":"2304.10266","repositories_listed":0,"syntology":null},{"url":null,"slug":"e-3-pose-energy-efficient-edge-assisted-multi","title":"E$^3$Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation","date":"2023-01-21","arxiv_id":"2301.09015","repositories_listed":0,"syntology":null},{"url":null,"slug":"ego-humans-an-ego-centric-3d-multi-human","title":"Ego-Humans: An Ego-Centric 3D Multi-Human Benchmark","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mixsynthformer-a-transformer-encoder-like","title":"MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"phasemp-robust-3d-pose-estimation-via-phase","title":"PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unified-pose-sequence-modeling","title":"Unified Pose Sequence Modeling","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-estimate-3d-human-pose-from-point","title":"Learning to Estimate 3D Human Pose from Point Cloud","date":"2022-12-25","arxiv_id":"2212.12910","repositories_listed":0,"syntology":null},{"url":null,"slug":"hum3dil-semi-supervised-multi-modal-3d-human","title":"HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving","date":"2022-12-15","arxiv_id":"2212.07729","repositories_listed":0,"syntology":null},{"url":"/paper/accidental-turntables-learning-3d-pose-by","slug":"accidental-turntables-learning-3d-pose-by","title":"Accidental Turntables: Learning 3D Pose by Watching Objects Turn","date":"2022-12-13","arxiv_id":"2212.06300","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-3d-multi-person-pose","title":"Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR","date":"2022-11-30","arxiv_id":"2211.16951","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-pre-training-for-3d-human","title":"Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge","date":"2022-11-22","arxiv_id":"2211.11983","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-flexible-frame-rate-vision-aided-inertial","title":"A Flexible-Frame-Rate Vision-Aided Inertial Object Tracking System for Mobile Devices","date":"2022-10-22","arxiv_id":"2210.12476","repositories_listed":0,"syntology":null},{"url":null,"slug":"mc-hands-1m-a-glove-wearing-hand-dataset-for","title":"MC-hands-1M: A glove-wearing hand dataset for pose estimation","date":"2022-10-19","arxiv_id":"2210.10428","repositories_listed":0,"syntology":null},{"url":null,"slug":"k-order-graph-oriented-transformer-with","title":"K-Order Graph-oriented Transformer with GraAttention for 3D Pose and Shape Estimation","date":"2022-08-24","arxiv_id":"2208.11328","repositories_listed":0,"syntology":null},{"url":"/paper/ivt-an-end-to-end-instance-guided-video","slug":"ivt-an-end-to-end-instance-guided-video","title":"IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation","date":"2022-08-06","arxiv_id":"2208.03431","repositories_listed":0,"syntology":null},{"url":null,"slug":"translating-a-visual-lego-manual-to-a-machine","title":"Translating a Visual LEGO Manual to a Machine-Executable Plan","date":"2022-07-25","arxiv_id":"2207.12572","repositories_listed":0,"syntology":null},{"url":"/paper/dynamic-graph-reasoning-for-multi-person-3d","slug":"dynamic-graph-reasoning-for-multi-person-3d","title":"Dynamic Graph Reasoning for Multi-person 3D Pose Estimation","date":"2022-07-22","arxiv_id":"2207.11341","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-person-3d-pose-estimation-from-a-single","title":"Multi-person 3D pose estimation from a single image captured by a fisheye camera","date":"2022-07-09","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/posegu-3d-human-pose-estimation-with-novel","slug":"posegu-3d-human-pose-estimation-with-novel","title":"PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning","date":"2022-07-07","arxiv_id":"2207.03618","repositories_listed":0,"syntology":null},{"url":null,"slug":"ego2handspose-a-dataset-for-egocentric-two","title":"Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation","date":"2022-06-10","arxiv_id":"2206.04927","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-spatio-temporal-transformers-for","title":"Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation","date":"2022-06-09","arxiv_id":"2206.04785","repositories_listed":0,"syntology":null},{"url":"/paper/vtp-volumetric-transformer-for-multi-view","slug":"vtp-volumetric-transformer-for-multi-view","title":"VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation","date":"2022-05-25","arxiv_id":"2205.12602","repositories_listed":0,"syntology":null},{"url":"/paper/teaching-independent-parts-separately-tips","slug":"teaching-independent-parts-separately-tips","title":"\"Teaching Independent Parts Separately\" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimation","date":"2022-05-12","arxiv_id":"2205.05980","repositories_listed":0,"syntology":null},{"url":"/paper/collaborative-learning-for-hand-and-object","slug":"collaborative-learning-for-hand-and-object","title":"Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution","date":"2022-04-27","arxiv_id":"2204.13062","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrated-in-vehicle-monitoring-system-using","title":"Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation","date":"2022-04-17","arxiv_id":"2204.07946","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-human-pose-estimation-for-free-from-and","title":"3D Human Pose Estimation for Free-from and Moving Activities Using WiFi","date":"2022-04-16","arxiv_id":"2204.07878","repositories_listed":0,"syntology":null},{"url":"/paper/permutation-invariant-relational-network-for","slug":"permutation-invariant-relational-network-for","title":"Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation","date":"2022-04-11","arxiv_id":"2204.04913","repositories_listed":0,"syntology":null},{"url":"/paper/on-triangulation-as-a-form-of-self","slug":"on-triangulation-as-a-form-of-self","title":"On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation","date":"2022-03-29","arxiv_id":"2203.15865","repositories_listed":0,"syntology":null},{"url":"/paper/raytran-3d-pose-estimation-and-shape","slug":"raytran-3d-pose-estimation-and-shape","title":"RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers","date":"2022-03-24","arxiv_id":"2203.13296","repositories_listed":0,"syntology":{"n":5,"n_ran":4,"n_constructed":4,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","sample_list":"/paper/raytran-3d-pose-estimation-and-shape#ran","syntology_url":"https://syntology.ai/paper/2203.13296","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.13296"}},"official":null}},{"url":null,"slug":"mushrooms-detection-localization-and-3d-pose","title":"Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications","date":"2022-01-08","arxiv_id":"2201.02837","repositories_listed":0,"syntology":null},{"url":null,"slug":"graformer-graph-oriented-transformer-for-3d","title":"GraFormer: Graph-Oriented Transformer for 3D Pose Estimation","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"single-stage-is-enough-multi-person-absolute","title":"Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/robin-a-benchmark-for-robustness-to","slug":"robin-a-benchmark-for-robustness-to","title":"OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images","date":"2021-11-29","arxiv_id":"2111.14341","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-pose-estimation-and-future-motion","title":"3D Pose Estimation and Future Motion Prediction from 2D Images","date":"2021-11-26","arxiv_id":"2111.13285","repositories_listed":0,"syntology":null},{"url":null,"slug":"lifting-2d-human-pose-to-3d-with-domain","title":"Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept","date":"2021-11-23","arxiv_id":"2111.11969","repositories_listed":0,"syntology":null},{"url":null,"slug":"higher-order-implicit-fairing-networks-for-3d","title":"Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation","date":"2021-11-01","arxiv_id":"2111.00950","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-low-cost-multi-person-3d-pose","title":"Real-time, low-cost multi-person 3D pose estimation","date":"2021-10-11","arxiv_id":"2110.11414","repositories_listed":0,"syntology":null},{"url":"/paper/stochastic-modeling-for-learnable-human-pose","slug":"stochastic-modeling-for-learnable-human-pose","title":"Generalizable Human Pose Triangulation","date":"2021-10-01","arxiv_id":"2110.00280","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-view-invariant-human-posture","title":"Unsupervised View-Invariant Human Posture Representation","date":"2021-09-17","arxiv_id":"2109.08730","repositories_listed":0,"syntology":null},{"url":"/paper/learning-dynamical-human-joint-affinity-for","slug":"learning-dynamical-human-joint-affinity-for","title":"Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos","date":"2021-09-15","arxiv_id":"2109.07353","repositories_listed":0,"syntology":null},{"url":"/paper/learning-skeletal-graph-neural-networks-for","slug":"learning-skeletal-graph-neural-networks-for","title":"Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation","date":"2021-08-16","arxiv_id":"2108.07181","repositories_listed":0,"syntology":null},{"url":"/paper/voxeltrack-multi-person-3d-human-pose","slug":"voxeltrack-multi-person-3d-human-pose","title":"VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild","date":"2021-08-05","arxiv_id":"2108.02452","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynadog-t-a-parametric-animal-model-for","title":"DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation","date":"2021-07-15","arxiv_id":"2107.07330","repositories_listed":0,"syntology":null},{"url":"/paper/volnet-estimating-human-body-part-volumes","slug":"volnet-estimating-human-body-part-volumes","title":"VolNet: Estimating Human Body Part Volumes from a Single RGB Image","date":"2021-07-05","arxiv_id":"2107.02259","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-deep-lift-pose-models-for-3d","title":"Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data","date":"2021-06-24","arxiv_id":"2106.12993","repositories_listed":0,"syntology":null},{"url":"/paper/tessetrack-end-to-end-learnable-multi-person","slug":"tessetrack-end-to-end-learnable-multi-person","title":"TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking","date":"2021-06-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-monocular-3d-human-motion-capture-with","title":"Neural Monocular 3D Human Motion Capture with Physical Awareness","date":"2021-05-03","arxiv_id":"2105.01057","repositories_listed":0,"syntology":null},{"url":"/paper/deep-monocular-3d-human-pose-estimation-via","slug":"deep-monocular-3d-human-pose-estimation-via","title":"Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting","date":"2021-04-08","arxiv_id":"2104.03520","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometric-change-detection-in-digital-twins","title":"Geometric Change Detection in Digital Twins using 3D Machine Learning","date":"2021-03-15","arxiv_id":"2103.08201","repositories_listed":0,"syntology":null},{"url":null,"slug":"mbapose-mask-and-bounding-box-aware-pose","title":"MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization","date":"2021-03-15","arxiv_id":"2103.08105","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-role-of-depth-predictions-for-3d-human","title":"On the role of depth predictions for 3D human pose estimation","date":"2021-03-03","arxiv_id":"2103.02521","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-models-for-point-clouds-in-deep","title":"Attention Models for Point Clouds in Deep Learning: A Survey","date":"2021-02-22","arxiv_id":"2102.10788","repositories_listed":0,"syntology":null},{"url":null,"slug":"absolute-3d-pose-estimation-and-length","title":"Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing","date":"2021-02-09","arxiv_id":"2102.04639","repositories_listed":0,"syntology":null},{"url":null,"slug":"pandanet-anchor-based-single-shot-multi-1","title":"PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation","date":"2021-01-07","arxiv_id":"2101.02471","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-causal-representation-for-training","title":"Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recovering-human-3d-model-from-monocular-2d","title":"Recovering Human 3D Model from Monocular 2d Images for Detecting Postures Deformilities","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"skeleton2mesh-kinematics-prior-injected","title":"Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"from-point-to-space-3d-moving-human-pose","title":"From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi","date":"2020-12-28","arxiv_id":"2012.14066","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-locality-similarity-preserving-to-3d","title":"Towards Locality Similarity Preserving to 3D Human Pose Estimation","date":"2020-12-04","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-on-monocular-videos-for","title":"Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation","date":"2020-12-02","arxiv_id":"2012.01511","repositories_listed":0,"syntology":null},{"url":null,"slug":"unoc-understanding-occlusion-for-embodied","title":"UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality","date":"2020-11-12","arxiv_id":"2012.03680","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-temporal-joint-depths-for","title":"Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video","date":"2020-11-04","arxiv_id":"2011.02172","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-severe-occlusion-multi-person-3d","title":"Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution","date":"2020-10-31","arxiv_id":"2011.00184","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-multi-view-synchronization","title":"Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation","date":"2020-10-13","arxiv_id":"2010.06218","repositories_listed":0,"syntology":null},{"url":"/paper/pi-net-pose-interacting-network-for-multi","slug":"pi-net-pose-interacting-network-for-multi","title":"PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation","date":"2020-10-11","arxiv_id":"2010.05302","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-close-range-3d-object-pose","title":"Continuous close-range 3D object pose estimation","date":"2020-10-02","arxiv_id":"2010.00829","repositories_listed":0,"syntology":null},{"url":null,"slug":"cad2real-deep-learning-with-domain","title":"CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings","date":"2020-09-25","arxiv_id":"2009.12312","repositories_listed":0,"syntology":null},{"url":"/paper/ssp-net-scalable-sequential-pyramid-networks","slug":"ssp-net-scalable-sequential-pyramid-networks","title":"SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression","date":"2020-09-04","arxiv_id":"2009.01998","repositories_listed":0,"syntology":null},{"url":"/paper/liftformer-3d-human-pose-estimation-using","slug":"liftformer-3d-human-pose-estimation-using","title":"LiftFormer: 3D Human Pose Estimation using attention models","date":"2020-09-01","arxiv_id":"2009.00348","repositories_listed":0,"syntology":null},{"url":null,"slug":"zoobuilder-2d-and-3d-pose-estimation-for","title":"ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data","date":"2020-09-01","arxiv_id":"2009.05389","repositories_listed":0,"syntology":null},{"url":null,"slug":"appearance-consensus-driven-self-supervised","title":"Appearance Consensus Driven Self-Supervised Human Mesh Recovery","date":"2020-08-04","arxiv_id":"2008.01341","repositories_listed":0,"syntology":null},{"url":"/paper/end-to-end-dynamic-matching-network-for-multi","slug":"end-to-end-dynamic-matching-network-for-multi","title":"End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/hmor-hierarchical-multi-person-ordinal","slug":"hmor-hierarchical-multi-person-ordinal","title":"HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation","date":"2020-08-01","arxiv_id":"2008.00206","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-part-aware-monocular-3d-human-pose","title":"Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/kinematic-structure-preserved-representation","slug":"kinematic-structure-preserved-representation","title":"Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation","date":"2020-06-24","arxiv_id":"2006.14107","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-kinematics-analysis-for-monocular-3d","title":"Deep Kinematics Analysis for Monocular 3D Human Pose Estimation","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pandanet-anchor-based-single-shot-multi","title":"PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/two-hand-global-3d-pose-estimation-using","slug":"two-hand-global-3d-pose-estimation-using","title":"Two-hand Global 3D Pose Estimation Using Monocular RGB","date":"2020-06-01","arxiv_id":"2006.01320","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-human-pose-estimation-with-adaptive","title":"3D human pose estimation with adaptive receptive fields and dilated temporal convolutions","date":"2020-05-28","arxiv_id":"2005.13797","repositories_listed":0,"syntology":null},{"url":null,"slug":"view-invariant-human-body-detection-and-pose","title":"View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors","date":"2020-05-08","arxiv_id":"2005.04258","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-model-based-gait-recognition-method-based","title":"JointsGait:A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping","date":"2020-04-27","arxiv_id":"2005.08625","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-generalization-of-3d-human-pose","title":"Towards Generalization of 3D Human Pose Estimation In The Wild","date":"2020-04-21","arxiv_id":"2004.09989","repositories_listed":0,"syntology":null},{"url":"/paper/multi-view-matching-mvm-facilitating-multi","slug":"multi-view-matching-mvm-facilitating-multi","title":"Multi-View Matching (MVM): Facilitating Multi-Person 3D Pose Estimation Learning with Action-Frozen People Video","date":"2020-04-11","arxiv_id":"2004.05275","repositories_listed":0,"syntology":null},{"url":"/paper/self-supervised-3d-human-pose-estimation-via","slug":"self-supervised-3d-human-pose-estimation-via","title":"Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis","date":"2020-04-09","arxiv_id":"2004.04400","repositories_listed":0,"syntology":null},{"url":"/paper/light3dpose-real-time-multi-person-3d","slug":"light3dpose-real-time-multi-person-3d","title":"Light3DPose: Real-time Multi-Person 3D PoseEstimation from Multiple Views","date":"2020-04-06","arxiv_id":"2004.02688","repositories_listed":0,"syntology":null},{"url":"/paper/lightweight-multi-view-3d-pose-estimation","slug":"lightweight-multi-view-3d-pose-estimation","title":"Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation","date":"2020-04-05","arxiv_id":"2004.02186","repositories_listed":0,"syntology":null},{"url":null,"slug":"sshfd-single-shot-human-fall-detection-with","title":"SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience","date":"2020-04-02","arxiv_id":"2004.00797","repositories_listed":0,"syntology":null},{"url":null,"slug":"ellipbody-a-light-weight-and-part-based","title":"Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering","date":"2020-03-24","arxiv_id":"2003.10873","repositories_listed":0,"syntology":null},{"url":null,"slug":"animepose-multi-person-3d-pose-estimation-and","title":"AnimePose: Multi-person 3D pose estimation and animation","date":"2020-02-06","arxiv_id":"2002.02792","repositories_listed":0,"syntology":null},{"url":null,"slug":"dfki-cabin-simulator-a-test-platform-for","title":"DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions","date":"2020-01-28","arxiv_id":"2002.03749","repositories_listed":0,"syntology":null},{"url":null,"slug":"lightweight-3d-human-pose-estimation-network","title":"Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning","date":"2020-01-15","arxiv_id":"2001.05097","repositories_listed":0,"syntology":null},{"url":"/paper/deepfuse-an-imu-aware-network-for-real-time","slug":"deepfuse-an-imu-aware-network-for-real-time","title":"DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image","date":"2019-12-09","arxiv_id":"1912.04071","repositories_listed":0,"syntology":null},{"url":null,"slug":"fetusmap-fetal-pose-estimation-in-3d","title":"FetusMap: Fetal Pose Estimation in 3D Ultrasound","date":"2019-10-11","arxiv_id":"1910.04935","repositories_listed":0,"syntology":null},{"url":null,"slug":"not-all-parts-are-created-equal-3d-pose-1","title":"Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts","date":"2019-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-3d-pose-estimation-from-a","title":"Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency","date":"2019-09-13","arxiv_id":"1909.06119","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-25d-hand-pose-estimation-via","title":"Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices","date":"2019-09-12","arxiv_id":"1909.05897","repositories_listed":0,"syntology":null}],"record_sha256":"1942b52cf82854efa0fe4fbc8878475382d58230aab18e5802555a63e33e0636","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}