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ORCIDNoriko Yata
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2020 – today
- 2022
[j1]Yuki Ishida, Yoshitsugu Manabe
, Noriko Yata:
Colored Point Cloud Completion for a Head Using Adversarial Rendered Image Loss. J. Imaging 8(5): 125 (2022)- 2021
- [c15]Yuta Watanabe, Yoshitsugu Manabe, Noriko Yata:
Internal state estimation by thermal image and identification of face and nose position. APSIPA ASC 2021: 386-391
2010 – 2019
- 2019
- [c14]Takayuki Tsuruta, Yoshitsugu Manabe, Noriko Yata:
HDR Spectral Video Measurement System. CCIW 2019: 89-101 - 2017
- [c13]Naoki Shinozuka, Yoshitsugu Manabe, Noriko Yata:
Consistency between Reflection on the Glass and Virtual Object in Augmented Reality. ISMAR Adjunct 2017: 162-165 - 2016
- [c12]Daisuke Kobayashi, Noriko Yata, Yoshitsugu Manabe:
Acquisition of image features for material perception from fine-tuned convolutional neural networks. IJCNN 2016: 545-550 - [c11]Hajime Sasanuma, Yoshitsugu Manabe, Noriko Yata:
Diminishing Real Objects and Adding Virtual Objects Using a RGB-D Camera. ISMAR Adjunct 2016: 117-120 - 2014
- [c10]Takuya Ogawa, Yoshitsugu Manabe, Noriko Yata:
Representing degradation of real objects using augmented reality. ISMAR 2014: 285-286 - 2013
- [c9]Masahide Kobayashi, Yoshitsugu Manabe, Noriko Yata:
Interactive Estimation of Light Source Position and Reflectance of Real Objects for Mixed-Reality Application. DICTA 2013: 1-8 - [c8]Asahi Suzuki, Yoshitsugu Manabe, Noriko Yata:
Design of an AR marker for cylindrical surface. ISMAR 2013: 293-294 - [c7]Ryoji Ohira, Noriko Yata, Tomoharu Nagao:
A Classification System for Gray Scale Images by Using Combination of Simple Figures. SMC 2013: 1187-1192 - 2012
- [c6]Asahi Suzuki, Yoshitsugu Manabe, Noriko Yata, Yuki Uranishi:
Overlayable and Rotation-free Transmissive Circular Color Marker for Augmented Reality. CGIV 2012: 115-120 - [c5]Noriko Yata, Tomoharu Nagao, Keiji Uchikawa:
Dichromat's Categorical Color Perception Model. CGIV 2012: 295-300 - 2010
- [c4]Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao:
Automatic construction of image transformation algorithms using feature based genetic image network. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao:
Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c2]Shiro Nakayama, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao:
Ensemble Image Classification Method Based on Genetic Image Network. EuroGP 2010: 313-324 - [c1]Haiying Bai, Noriko Yata, Tomoharu Nagao:
Efficient evolutionary image processing using genetic programming: Reducing computation time for generating feature images of the Automatically Construction of Tree-Structural Image Transformation (ACTIT). ISDA 2010: 302-307
Coauthor Index
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