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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 5 of 5

3d face reconstruction for VR HMDs in eye region

Thesis
3d face reconstruction for VR HMDs in eye region
  • Ji, Seoyoun
  • 2020
  • Ji, Seoyoun. (2020). 3d face reconstruction for VR HMDs in eye region. doi: 10.22677/thesis.200000287477
  • DGIST
  • View : 1008
  • Download : 682

Adaptive Multi-Node Multiple Input and Multiple Output (MIMO) Transmission for Mobile Wireless Multimedia Sensor Networks

Article
Adaptive Multi-Node Multiple Input and Multiple Output (MIMO) Transmission for Mobile Wireless Multimedia Sensor Networks
  • 2013-10
  • Cho, Sunghyun. (2013-10). Adaptive Multi-Node Multiple Input and Multiple Output (MIMO) Transmission for Mobile Wireless Multimedia Sensor Networks. Sensors, 13(10), 13382–13401. doi: 10.3390/s131013382
  • MDPI AG
  • View : 877
  • Download : 117
Conference
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
  • 2021-06-24
  • Lee, Seunghun. (2021-06-24). DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. Conference on Computer Vision and Pattern Recognition (poster), 15247–15256. doi: 10.1109/CVPR46437.2021.01500
  • IEEE Computer Society, The Computer Vision Foundation
  • View : 73
  • Download : 0

Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

Thesis
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
  • Rim, Jaesung
  • 2020
  • Rim, Jaesung. (2020). Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms. doi: 10.22677/thesis.200000333386
  • DGIST
  • View : 4872
  • Download : 2349
Conference
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
  • Rim, Jaesung ; 
  • Lee, Haeyun ; 
  • Won, Jucheol ; 
  • Cho, Sunghyun
  • 2020-08-25
  • Rim, Jaesung. (2020-08-25). Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms. European Conference on Computer Vision (poster), 184–201. doi: 10.1007/978-3-030-58595-2_12
  • European Computer Vision Association (ECVA)
  • View : 576
  • Download : 0
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