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A variational U-Net for motion retargeting
SIGGRAPH Asia 2018 Posters, 2018In this paper, we present a novel motion retargeting system by using the deep autoencoder combining the Deep Convolution Inverse Graphics Network (DC-IGN) ([Kulkarni et al. 2015]) and the U-Net ([Long et al. 2015]) to produce high-quality human motion. The retargeted motion is fully-automatically and naturally generated from the given input motion and ...
Hanyoung Jang +4 more
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2020
Lung cancer (lung carcinoma) is a malignant tumor defined by unrestrained cell growth in lung tissues. Long-term tobacco smoking is the major cause of lung cancer. Radiographs and Computed Tomography (CT) are used to see the lung cancer. The diagnosis is performed by the process called bronchoscopy and can be confirmed by biopsy. CT is a lung screening
Sathishkumar, R. +2 more
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Lung cancer (lung carcinoma) is a malignant tumor defined by unrestrained cell growth in lung tissues. Long-term tobacco smoking is the major cause of lung cancer. Radiographs and Computed Tomography (CT) are used to see the lung cancer. The diagnosis is performed by the process called bronchoscopy and can be confirmed by biopsy. CT is a lung screening
Sathishkumar, R. +2 more
openaire +1 more source
Stagnant Zone Segmentation with U-Net
2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2019Silo discharging and monitoring process for industrial or research application depend on computerized segmentation of different parts of images such as stagnant and flowing zones which is the toughest task. X-ray Computed Tomography (CT) is one of a powerful non-destructive technique for cross-sectional images of a 3D object based on X-ray absorption ...
Selam Waktola +2 more
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Brain Tumor Segmentation Using U-net and U-net++ Networks
2022 30th International Conference on Electrical Engineering (ICEE), 2022Seyyed Ali Mortazavi-Zadeh +2 more
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Integration of U-Net into Windows/NT
1998U-Net provides user-level network access such that applications can send and receive messages without operating system intervention on every send and receive. The network is exposed to applications as a pair of transmit and receive buffer queues. Depending on the sophistication of the network interface hardware, these queues are serviced directly in ...
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Proceedings of the fifteenth ACM symposium on Operating systems principles - SOSP '95, 1995
T. von Eicken +3 more
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T. von Eicken +3 more
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Sharp dense U-Net: an enhanced dense U-Net architecture for nucleus segmentation
International Journal of Machine Learning and Cybernetics, 2023Pradip Senapati +3 more
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Transclaw U-Net: Claw U-Net With Transformers for Medical Image Segmentation
2022 5th International Conference on Information Communication and Signal Processing (ICICSP), 2022Chang Yao +4 more
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2024 IEEE 17th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
Tee Hui Teo +3 more
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Tee Hui Teo +3 more
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Segmenting Brain Tumors with Deep Learning: U-Net, U-Net with ResNet, and U-Net++
Jhanavi Malhotra +3 moreopenaire +1 more source

