{"total":29,"rows":[{"id":"2103.10455","title":"3D Human Pose Estimation with Spatial and Temporal Transformers","created":"2021-03-18","cited_by_count":272,"area":null},{"id":"2203.00859","title":"MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video","created":"2022-03-02","cited_by_count":159,"area":null},{"id":"2111.12707","title":"MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation","created":"2021-11-24","cited_by_count":151,"area":null},{"id":"2211.16940","title":"DiffPose: Toward More Reliable 3D Pose Estimation","created":"2022-11-30","cited_by_count":100,"area":null},{"id":"2103.14304","title":"Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation","created":"2021-03-26","cited_by_count":94,"area":null},{"id":"2303.17472","title":"PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation","created":"2023-03-30","cited_by_count":92,"area":null},{"id":"2203.07628","title":"P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation","created":"2022-03-15","cited_by_count":80,"area":null},{"id":"2108.07181","title":"Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation","created":"2021-08-16","cited_by_count":62,"area":null},{"id":"2107.07797","title":"Conditional Directed Graph Convolution for 3D Human Pose Estimation","created":"2021-07-16","cited_by_count":52,"area":null},{"id":"2307.05853","title":"GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video","created":"2023-07-12","cited_by_count":47,"area":null},{"id":"2210.06110","title":"Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers","created":"2022-10-12","cited_by_count":33,"area":null},{"id":"2302.01825","title":"HDFormer: High-order Directed Transformer for 3D Human Pose Estimation","created":"2023-02-03","cited_by_count":23,"area":null},{"id":"2110.05092","title":"Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation","created":"2021-10-11","cited_by_count":19,"area":null},{"id":"2107.13994","title":"Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation","created":"2021-07-29","cited_by_count":18,"area":null},{"id":"2109.07353","title":"Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos","created":"2021-09-15","cited_by_count":13,"area":null},{"id":"2203.13387","title":"CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation","created":"2022-03-24","cited_by_count":11,"area":null},{"id":"2301.07322","title":"HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation","created":"2023-01-18","cited_by_count":9,"area":null},{"id":"2207.09303","title":"DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation","created":"2022-07-19","cited_by_count":8,"area":null},{"id":"2208.03431","title":"IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation","created":"2022-08-06","cited_by_count":6,"area":null},{"id":"2106.14706","title":"Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos","created":"2021-06-28","cited_by_count":5,"area":null},{"id":"2306.17201","title":"MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling","created":"2023-06-29","cited_by_count":4,"area":null},{"id":"2501.15763","title":"NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation","created":"2025-01-27","cited_by_count":2,"area":null},{"id":"2304.02147","title":"ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention","created":"2023-04-04","cited_by_count":1,"area":null},{"id":"2401.16700","title":"Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers","created":"2024-01-30","cited_by_count":1,"area":null},{"id":"2405.03055","title":"Multi-hop graph transformer network for 3D human pose estimation","created":"2024-05-05","cited_by_count":1,"area":null},{"id":"2210.04006","title":"(Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network Based On Transformer for 3D Human Pose Estimation","created":"2022-10-08","cited_by_count":0,"area":null},{"id":"2302.06194","title":"Capsules as viewpoint learners for human pose estimation","created":"2023-02-13","cited_by_count":0,"area":null},{"id":"2309.01365","title":"Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation","created":"2023-09-04","cited_by_count":0,"area":null},{"id":"2309.06313","title":"Semantic and Articulated Pedestrian Sensing Onboard a Moving Vehicle","created":"2023-09-12","cited_by_count":0,"area":null}],"next_cursor":null}