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Masaki Saito
Masaki Saito
Preferred Networks, Inc.
Verified email at preferred.jp
Title
Cited by
Cited by
Year
Temporal Generative Adversarial Nets with Singular Value Clipping
M Saito, E Matsumoto, S Saito
IEEE International Conference on Computer Vision (ICCV) 2 (3), 5, 2017
3672017
ChainerCV: A Library for Deep Learning in Computer Vision
Y Niitani, T Ogawa, S Saito, M Saito
Proceedings of the 2017 ACM on Multimedia Conference, 1217-1220, 2017
542017
Illustration2vec: A Semantic Vector Representation of Illustrations
M Saito, Y Matsui
SIGGRAPH Asia 2015 Technical Briefs, 5, 2015
512015
Tganv2: Efficient training of large models for video generation with multiple subsampling layers
M Saito, S Saito
332018
Train sparsely, generate densely: Memory-efficient unsupervised training of high-resolution temporal gan
M Saito, S Saito, M Koyama, S Kobayashi
International Journal of Computer Vision 128 (10), 2586-2606, 2020
282020
End-to-end learning of object grasp poses in the Amazon Robotics Challenge
E Matsumoto, M Saito, A Kume, J Tan
Advances on Robotic Item Picking, 63-72, 2020
182020
Normal Estimation for Accurate 3D Mesh Reconstruction with Point Cloud Model Incorporating Spatial Structure.
T Hashimoto, M Saito
CVPR workshops 1, 2019
182019
Application of the Mean Field Methods to MRF Optimization in Computer Vision
M Saito, T Okatani, K Deguchi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1680-1687, 2012
132012
Transformation of Markov Random Fields for Marginal Distribution Estimation
M Saito, T Okatani
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 797-805, 2015
52015
Recognizing open-vocabulary relations between objects in images
M Muraoka, S Maharjan, M Saito, K Yamaguchi, N Okazaki, T Okatani, ...
Proceedings of the 30th Pacific Asia Conference on Language, Information and …, 2016
12016
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space
M Saito, T Okatani, K Deguchi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 57-64, 2013
12013
Energy Minimization
S Ono, M Saito
Computer Vision: A Reference Guide, 1-8, 2020
2020
深層畳み込みニューラルネットと条件付き確率場の融合 (情報論的学習理論と機械学習)
齋藤真樹
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 116 (209 …, 2016
2016
ディープラーニング (パターン認識・メディア理解)
岡谷貴之, 齋藤真樹
電子情報通信学会技術研究報告: 信学技報 112 (385), 111-127, 2013
2013
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