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Jiayao Liang and Mengxiao Yin
With the rapid advancement of deep learning, 3D human pose estimation has largely freed itself from reliance on manually annotated methods. The effective utilization of joint features has become significant. Utilizing 2D human joint information to predic...
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Leonardo Frizziero, Giovanni Trisolino, Gian Maria Santi, Giulia Alessandri, Simone Agazzani, Alfredo Liverani, Grazia Chiara Menozzi, Giovanni Luigi Di Gennaro, Giuseppina Maria Grazia Farella, Alida Abbruzzese, Paolo Spinnato, Lisa Berti and Maria Grazia Benedetti
Torsional deformities of the lower limb are common in children with cerebral palsy (CP)-determining gait problems. The mechanisms underlying transverse plane gait deviations arise from a combination of dynamic and static factors. The dynamic elements may...
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Federica Scucchia, Katrein Sauer, Paul Zaslansky and Tali Mass
Understanding the formation of the coral skeleton has been a common subject uniting various marine and materials study fields. Two main regions dominate coral skeleton growth: Rapid Accretion Deposits (RADs) and Thickening Deposits (TDs). These have been...
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Ngoc-Hoang Nguyen, Tran-Dac-Thinh Phan, Soo-Hyung Kim, Hyung-Jeong Yang and Guee-Sang Lee
This paper presents a novel approach to continuous dynamic hand gesture recognition. Our approach contains two main modules: gesture spotting and gesture classification. Firstly, the gesture spotting module pre-segments the video sequence with continuous...
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Jiuqing Dong, Yongbin Gao, Hyo Jong Lee, Heng Zhou, Yifan Yao, Zhijun Fang and Bo Huang
Skeleton-based action recognition is a widely used task in action related research because of its clear features and the invariance of human appearances and illumination. Furthermore, it can also effectively improve the robustness of the action recogniti...
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Wang Xi, Guillaume Devineau, Fabien Moutarde and Jie Yang
Generative models for images, audio, text, and other low-dimension data have achieved great success in recent years. Generating artificial human movements can also be useful for many applications, including improvement of data augmentation methods for hu...
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Vincenzo Quinzi, Vincenzo Ronsivalle, Vincenzo Campanella, Leonardo Mancini, Salvatore Torrisi and Antonino Lo Giudice
Background: The transversal maxillary deficiency represents one of the most frequent skeletal discrepancies of the craniofacial region. The analysis of morphological characteristics of the maxilla can be detrimental for a correct diagnosis and treatment ...
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Mujahed I. Mustafa, Abdelrahman H. Abdelmoneim, Nafisa M. Elfadol, Naseem S. Murshed, Zainab O. Mohammed, Mohamed A. Hassan
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The Simpson-Golabi-Behmel Syndrome (SGBS) or overgrowth Syndrome is an uncommon genetic X-linked disorder highlighted by macrosomia, renal defects, cardiac weaknesses and skeletal abnormalities. The purpose of the work was to classify the functional nsSN...
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