| 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 | 647 | 2017 |
| 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 | 123 | 2020 |
| Illustration2vec: A Semantic Vector Representation of Illustrations M Saito, Y Matsui SIGGRAPH Asia 2015 Technical Briefs, 5, 2015 | 69 | 2015 |
| 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 | 58 | 2017 |
| Normal Estimation for Accurate 3D Mesh Reconstruction with Point Cloud Model Incorporating Spatial Structure. T Hashimoto, M Saito CVPR workshops 1, 1-10, 2019 | 44 | 2019 |
| Tganv2: Efficient training of large models for video generation with multiple subsampling layers M Saito, S Saito arXiv preprint arXiv:1811.09245 2 (6), 2018 | 44 | 2018 |
| 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: Applications in Warehousing & E-Commerce …, 2020 | 25 | 2020 |
| 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 | 14 | 2012 |
| 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 | 5 | 2015 |
| 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 | 2 | 2016 |
| PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks S Kato, M Saito, K Ishiguro, S Cummings IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2024 | 1 | 2024 |
| 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 | 1 | 2013 |
| Energy Minimization S Ono, M Saito A book chapter in Computer Vision: A Reference Guide. Ed. by Katsushi …, 2021 | | 2021 |
| 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 (パターン認識・メディア理解) 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 (208 …, 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 |
