| House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation N Nauata, KH Chang, CY Cheng, G Mori, Y Furukawa Proceedings of the European Conference on Computer Vision (ECCV), 162-177, 2020 | 314 | 2020 |
| House-gan++: Generative adversarial layout refinement network towards intelligent computational agent for professional architects N Nauata, S Hosseini, KH Chang, H Chu, CY Cheng, Y Furukawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 189 | 2021 |
| Conv-mpn: Convolutional message passing neural network for structured outdoor architecture reconstruction F Zhang, N Nauata, Y Furukawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 71 | 2020 |
| Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference N Nauata, Y Furukawa Proceedings of the European Conference on Computer Vision (ECCV), 711-726, 2020 | 40 | 2020 |
| Structured label inference for visual understanding N Nauata, H Hu, GT Zhou, Z Deng, Z Liao, G Mori IEEE transactions on pattern analysis and machine intelligence 42 (5), 1257-1271, 2019 | 24 | 2019 |
| Structured outdoor architecture reconstruction by exploration and classification F Zhang, X Xu, N Nauata, Y Furukawa Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 15 | 2021 |
| Learning genomic representations to predict clinical outcomes in cancer S Yousefi, C Song, N Nauata, L Cooper ICLR 2016 - Workshop Track. International Conference on Learning Representations, 2016 | 14 | 2016 |
| Hierarchical label inference for video classification N Nauata, J Smith, G Mori CVPR'17 Workshop on YouTube-8M Large-Scale Video Understanding, 2017 | 3 | 2017 |
| Investigating business needs fluctuations on IT delivery operations V Cavalcante, S Bianchi, A Braz, F Amorin, N Nauata 2014 Annual SRII Global Conference, 19-26, 2014 | 3 | 2014 |
| relational generative adversarial networks for graph-constrained 495 house layout generation N Nauata, K Chang, C Cheng, G Mori, YHGAN Furukawa Preprint at https://arxiv. org/abs/2003.06988 496, 2020 | 2 | 2020 |
| Structural regularity learning for automated architecture modeling N Nauata Simon Fraser University, 2022 | | 2022 |
| Using Visual Analytics to Diagnose Productivity and Quality Issues on IT Service Pools V Cavalcante, H Candello, C Pinhanez, A Braz, F Amorin, N Nauata Maximizing Management Performance and Quality with Service Analytics, 207-232, 2015 | | 2015 |
| Simon Fraser University, BC, Canada F Zhang, X Xu, N Nauata, Y Furukawa | | |
Yasutaka FurukawaAssociate Professor of Computing Science at Simon Fraser University在 sfu.ca 的电子邮件经过验证