pix2xray: converting RGB images into X-rays using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-020-02159-2
Abstract: Purpose We propose a novel methodology for generating synthetic X-rays from 2D RGB images. This method creates accurate simulations for use in non-diagnostic visualization problems where the only input comes from a generic camera. Traditional… read more here.
Keywords: generative adversarial; adversarial networks; hand pose; pix2xray converting ... See more keywords
A CRNN module for hand pose estimation
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.065
Abstract: Abstract Hand pose estimation plays an important role in human–computer interaction. The traditional way is to deal with a video stream frame by frame. However, since the gesture in the video is changing continuously, the… read more here.
Keywords: network; module; pose estimation; hand ... See more keywords
Implicit Semantic Data Augmentation for Hand Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3197749
Abstract: Data augmentation is a well-known technique used for improving the generalization performance of modern neural networks. After the success of several traditional random data augmentation for images (including flipping, translation, or rotation), a recent surge… read more here.
Keywords: pose estimation; hand; data augmentation; augmentation ... See more keywords
LightHand99K: A Synthetic Dataset for Hand Pose Estimation With Wrist-Worn Cameras
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3567313
Abstract: Although hand-pose estimation using external camera systems has made significant progress driven by large annotated datasets, wrist-worn camera-based hand-pose estimation offers unique advantages owing to its ability to capture nearby images. However, datasets primarily collected… read more here.
Keywords: hand pose; hand; pose estimation; estimation ... See more keywords
Accurate and Real-Time Variant Hand Pose Estimation Based on Gray Code Bounding Box Representation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3389055
Abstract: Effective hand gestures are crucial for human-machine interactions, and recent advancements in neural networks offer promising avenues for efficient hand pose estimation. However, existing methods still face challenges in detecting hand poses of different scales… read more here.
Keywords: hand pose; hand; code; pose estimation ... See more keywords
IHPE: A Lightweight Hand Pose Estimation Network for Surgical Motion Capture in Medical Education
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3577665
Abstract: Currently, most medical education adopts a master-apprentice model combined with video-based instruction; however, this approach is inefficient in correcting apprentices’ mistakes. To address this issue, we propose a low-cost and accurate surgical hand pose estimation… read more here.
Keywords: hand pose; hand; pose estimation; medical education ... See more keywords
Mask-Pose Cascaded CNN for 2D Hand Pose Estimation From Single Color Image
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2879980
Abstract: We present a cascaded convolutional neural network for 2D hand pose estimation from single in-the-wild RGB images. Inspired by the commonly used silhouette information in the generative pose estimation approaches, we build the cascaded network… read more here.
Keywords: mask; hand pose; hand; pose estimation ... See more keywords
3D Hand Pose Estimation From Monocular RGB With Feature Interaction Module
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3142787
Abstract: 3D hand pose estimation from a monocular RGB image is a highly challenging task due to self-occlusion, diverse appearances, and inherent depth ambiguities within monocular images. Most of the previous methods first employ deep neural… read more here.
Keywords: hand; monocular rgb; skeleton; estimation ... See more keywords
Multibranch Adversarial Regression for Domain Adaptative Hand Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3158676
Abstract: Although hand pose estimation has achieved a great success in recent years, there are still challenges with RGB-based estimation tasks, the most significant of which is the absence of labeled training data. At present, the… read more here.
Keywords: regression; pose estimation; domain; estimation ... See more keywords
A Dual-Branch Self-Boosting Framework for Self-Supervised 3D Hand Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3192708
Abstract: Although 3D hand pose estimation has made significant progress in recent years with the development of the deep neural network, most learning-based methods require a large amount of labeled data that is time-consuming to collect.… read more here.
Keywords: pose estimation; hand; self supervised; estimation ... See more keywords
Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3047552
Abstract: 3D Hand pose estimation from a single depth image is an essential topic in computer vision and human-computer interaction. Although the rising of deep learning boosts the accuracy a lot, the problem is still hard… read more here.
Keywords: differentiable spatial; method; hand; pose estimation ... See more keywords