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2020 – today
- 2024
[j3]Shunya Kato
, Masaki Saito, Katsuhiko Ishiguro, Sol Cummings:
PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling With Masked Networks. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [i4]Shunya Kato, Masaki Saito, Katsuhiko Ishiguro, Sol Cummings:
PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks. CoRR abs/2401.07503 (2024) - 2023
- [c14]Masaki Saito, Masahito Kumano, Masahiro Kimura:
Detecting Critical Streets in Road Networks Based on Topological Representation. COMPLEX NETWORKS (4) 2023: 231-242 - [c13]Masaki Saito, Kyoko Sudo:
Visual Sentiment Analysis by Distillation of Instance-Based Sentiment Vectors. MIPR 2023: 27-30 - 2022
- [c12]Ryo Kurachi, Takanari Katayama, Takamitsu Sasaki, Masaki Saito, Yoshimasa Ajioka:
Evaluation of Automotive Event Data Recorder towards Digital Forensics. VTC Spring 2022: 1-7 - 2020
- [j2]Masaki Saito, Shunta Saito, Masanori Koyama, Sosuke Kobayashi:
Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN. Int. J. Comput. Vis. 128(10): 2586-2606 (2020)
2010 – 2019
- 2019
- [c11]Taisuke Hashimoto, Masaki Saito:
Normal Estimation for Accurate 3D Mesh Reconstruction with Point Cloud Model Incorporating Spatial Structure. CVPR Workshops 2019: 54-63 - 2018
- [c10]Masaki Saito, Yoshifumi Kusunoki:
Axiomatization and Generalization of the Core for Assignment Games on the Complete Graph. SMC 2018: 1593-1598 - [i3]Masaki Saito, Shunta Saito:
TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers. CoRR abs/1811.09245 (2018) - 2017
- [c9]Masaki Saito, Eiichi Matsumoto, Shunta Saito:
Temporal Generative Adversarial Nets with Singular Value Clipping. ICCV 2017: 2849-2858 - [c8]Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito:
ChainerCV: a Library for Deep Learning in Computer Vision. ACM Multimedia 2017: 1217-1220 - [i2]Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito:
ChainerCV: a Library for Deep Learning in Computer Vision. CoRR abs/1708.08169 (2017) - 2016
- [c7]Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui:
Recognizing Open-Vocabulary Relations between Objects in Images. PACLIC 2016 - [i1]Masaki Saito, Eiichi Matsumoto:
Temporal Generative Adversarial Nets. CoRR abs/1611.06624 (2016) - 2015
- [c6]Masaki Saito, Takayuki Okatani:
Transformation of Markov Random Fields for marginal distribution estimation. CVPR 2015: 797-805 - [c5]Masaki Saito, Yusuke Matsui:
Illustration2Vec: a semantic vector representation of illustrations. SIGGRAPH Asia Technical Briefs 2015: 5:1-5:4 - 2014
- [c4]Takashi Inui, Masaki Saito, Mikio Yamamoto:
Automatic News Source Detection in Twitter Based on Text Segmentation. PACLIC 2014: 195-203 - 2013
- [c3]Masaki Saito, Takayuki Okatani, Koichiro Deguchi:
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space. CVPR 2013: 57-64 - 2012
- [c2]Masaki Saito, Takayuki Okatani, Koichiro Deguchi:
Application of the mean field methods to MRF optimization in computer vision. CVPR 2012: 1680-1687 - 2010
- [c1]Yumi Iwashita, Ryo Kurazume, Takamitsu Mori, Masaki Saito, Tsutomu Hasegawa:
Model-based motion tracking system using distributed network cameras. ICRA 2010: 3020-3025
2000 – 2009
- 2004
- [j1]Massaki Wada, Mami Mizutani, Masaki Saito, Xuchu Mao, Hideki Hashimoto:
iCAN: Pursuing Technology for Near-Future ITS. IEEE Intell. Syst. 19(1): 18-23 (2004)
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