Poseformerv2: Exploring frequency domain for efficient and robust 3d human pose estimation
Recently, transformer-based methods have gained significant success in sequential 2D-to-
3D lifting human pose estimation. As a pioneering work, PoseFormer captures spatial …
3D lifting human pose estimation. As a pioneering work, PoseFormer captures spatial …
3D human pose estimation with spatio-temporal criss-cross attention
Recent transformer-based solutions have shown great success in 3D human pose
estimation. Nevertheless, to calculate the joint-to-joint affinity matrix, the computational cost …
estimation. Nevertheless, to calculate the joint-to-joint affinity matrix, the computational cost …
Diff3dhpe: A diffusion model for 3d human pose estimation
Accurately estimating 3D human pose (3D HPE) and joint locations using only 2D keypoints
is challenging. The noise in the predictions produced by conventional 2D human pose …
is challenging. The noise in the predictions produced by conventional 2D human pose …
3d human pose perception from egocentric stereo videos
While head-mounted devices are becoming more compact they provide egocentric views
with significant self-occlusions of the device user. Hence existing methods often fail to …
with significant self-occlusions of the device user. Hence existing methods often fail to …
Motionagformer: Enhancing 3d human pose estimation with a transformer-gcnformer network
Recent transformer-based approaches have demonstrated excellent performance in 3D
human pose estimation. However, they have a holistic view and by encoding global …
human pose estimation. However, they have a holistic view and by encoding global …
Computer Vision Tasks for Ambient Intelligence in Children's Health
Computer vision is a powerful tool for healthcare applications since it can provide objective
diagnosis and assessment of pathologies, not depending on clinicians' skills and …
diagnosis and assessment of pathologies, not depending on clinicians' skills and …
A single 2d pose with context is worth hundreds for 3d human pose estimation
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D
heavily relies on long-term temporal clues (ie, using a daunting number of video frames) for …
heavily relies on long-term temporal clues (ie, using a daunting number of video frames) for …
Deep learning for 3D human pose estimation and mesh recovery: A survey
Y Liu, C Qiu, Z Zhang - Neurocomputing, 2024 - Elsevier
Abstract 3D human pose estimation and mesh recovery have attracted widespread research
interest in many areas, such as computer vision, autonomous driving, and robotics. Deep …
interest in many areas, such as computer vision, autonomous driving, and robotics. Deep …
Regular splitting graph network for 3d human pose estimation
MT Hassan, AB Hamza - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
In human pose estimation methods based on graph convolutional architectures, the human
skeleton is usually modeled as an undirected graph whose nodes are body joints and edges …
skeleton is usually modeled as an undirected graph whose nodes are body joints and edges …
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
Transformers have been successfully applied in the field of video-based 3D human pose
estimation. However the high computational costs of these video pose transformers (VPTs) …
estimation. However the high computational costs of these video pose transformers (VPTs) …