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ORCIDShunta Saito
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2020 – today
- 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)- [c11]He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu:
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. ACCV (6) 2020: 461-477 - [i7]He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu:
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. CoRR abs/2009.13331 (2020) - [i6]Taiga Kashima, Yoshihiro Yamada, Shunta Saito:
Joint Search of Data Augmentation Policies and Network Architectures. CoRR abs/2012.09407 (2020)
2010 – 2019
- 2019
- [c10]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. KDD 2019: 2002-2011 - [i5]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. CoRR abs/1908.00213 (2019) - 2018
- [c9]Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David J. Crandall:
Minimizing Supervision for Free-Space Segmentation. CVPR Workshops 2018: 988-997 - [i4]Masaki Saito, Shunta Saito:
TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers. CoRR abs/1811.09245 (2018) - 2017
- [c8]Masaki Saito, Eiichi Matsumoto, Shunta Saito:
Temporal Generative Adversarial Nets with Singular Value Clipping. ICCV 2017: 2849-2858 - [c7]Satoshi Tsutsui, Shunta Saito, Tommi Kerola:
Distantly Supervised Road Segmentation. ICCV Workshops 2017: 174-181 - [c6]Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito:
ChainerCV: a Library for Deep Learning in Computer Vision. ACM Multimedia 2017: 1217-1220 - [i3]Satoshi Tsutsui, Tommi Kerola, Shunta Saito:
Distantly Supervised Road Segmentation. CoRR abs/1708.06118 (2017) - [i2]Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito:
ChainerCV: a Library for Deep Learning in Computer Vision. CoRR abs/1708.08169 (2017) - [i1]Shunta Saito, Tommi Kerola, Satoshi Tsutsui:
Superpixel clustering with deep features for unsupervised road segmentation. CoRR abs/1711.05998 (2017) - 2016
- [c5]Shunta Saito, Takayoshi Yamashita, Yoshimitsu Aoki:
Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks. IRIACV 2016: 1-9 - [c4]Siti Nor Khuzaimah Binti Amit, Shunta Saito, Yoshimitsu Aoki, Yasushi Kiyoki:
Building Change Detection via Semantic Segmentation and Difference Extraction Method. EJC 2016: 249-257 - 2015
- [j1]Shunta Saito, Ryota Arai, Yoshimitsu Aoki:
Seamline Determination Based on Semantic Segmentation for Aerial Image Mosaicking. IEEE Access 3: 2847-2856 (2015) - [c3]Shunta Saito, Yoshimitsu Aoki:
Building and road detection from large aerial imagery. Image Processing: Machine Vision Applications 2015: 94050K - [c2]Yu Sugawara, Takeshi Morita, Shunta Saito, Takahira Yamaguchi:
An Intelligent Application Development Platform for Service Robots. MuSRobS@IROS 2015: 16-20 - 2014
- [c1]Shunta Saito, Makiko Kouchi, Masaaki Mochimaru, Yoshimitsu Aoki:
Model-based 3D human shape estimation from silhouettes for virtual fitting. Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014: 901307
Coauthor Index
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