Model-based 3D human shape estimation from silhouettes for virtual fitting. - Shunta Saito; Makiko Kouchi; Masaaki Mochimaru; Yoshimitsu Aoki (Three-Dimensional Image Processing, Measurement (3DIPM), and Applications, 2014)

Building and road detection from large aerial imagery. - Shunta Saito; Yoshimitsu Aoki (Image Processing: Machine Vision Applications, 2015)

An Intelligent Application Development Platform for Service Robots. - Yu Sugawara; Takeshi Morita 001; Shunta Saito; Takahira Yamaguchi (MuSRobS@IROS, 2015)

Seamline Determination Based on Semantic Segmentation for Aerial Image Mosaicking. - Shunta Saito; Ryota Arai; Yoshimitsu Aoki (IEEE Access, 2015)

Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks. - Shunta Saito; Takayoshi Yamashita; Yoshimitsu Aoki (IRIACV, 2016)

Building Change Detection via Semantic Segmentation and Difference Extraction Method. - Siti Nor Khuzaimah Binti Amit; Shunta Saito; Yoshimitsu Aoki; Yasushi Kiyoki (EJC, 2016)

Temporal Generative Adversarial Nets with Singular Value Clipping. - Masaki Saito; Eiichi Matsumoto; Shunta Saito (ICCV, 2017)

Distantly Supervised Road Segmentation. - Satoshi Tsutsui; Shunta Saito; Tommi Kerola (ICCV Workshops, 2017)

ChainerCV: a Library for Deep Learning in Computer Vision. - Yusuke Niitani; Toru Ogawa; Shunta Saito; Masaki Saito (ACM Multimedia, 2017)

Superpixel clustering with deep features for unsupervised road segmentation. - Shunta Saito; Tommi Kerola; Satoshi Tsutsui (CoRR, 2017)

Minimizing Supervision for Free-Space Segmentation. - Satoshi Tsutsui; Tommi Kerola; Shunta Saito; David J. Crandall (CVPR Workshops, 2018)

TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers. - Masaki Saito; Shunta Saito (CoRR, 2018)

Chainer: A Deep Learning Framework for Accelerating the Research Cycle. - Seiya Tokui; Ryosuke Okuta; Takuya Akiba; Yusuke Niitani; Toru Ogawa; Shunta Saito; Shuji Suzuki; Kota Uenishi; Brian Vogel; Hiroyuki Yamazaki Vincent (KDD, 2019)

Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. - He Huang 008; Shunta Saito; Yuta Kikuchi; Eiichi Matsumoto; Wei Tang 016; Philip S. Yu (ACCV (6), 2020)

Joint Search of Data Augmentation Policies and Network Architectures. - Taiga Kashima; Yoshihiro Yamada; Shunta Saito (CoRR, 2020)

Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN. - Masaki Saito; Shunta Saito; Masanori Koyama; Sosuke Kobayashi (Int. J. Comput. Vis., 2020)