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ORCIDEiichi Matsumoto
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2020 – today
- 2022
[c6]Chunyu Li, Taisuke Hashimoto, Eiichi Matsumoto, Hiroharu Kato:
Multi-View Neural Surface Reconstruction with Structured Light. BMVC 2022: 550- [c5]Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto:
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. CVPR 2022: 15862-15871 - [c4]Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann:
Decomposing NeRF for Editing via Feature Field Distillation. NeurIPS 2022 - [i7]Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto:
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. CoRR abs/2201.01683 (2022) - [i6]Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann:
Decomposing NeRF for Editing via Feature Field Distillation. CoRR abs/2205.15585 (2022) - [i5]Chunyu Li, Taisuke Hashimoto, Eiichi Matsumoto, Hiroharu Kato:
Multi-View Neural Surface Reconstruction with Structured Light. CoRR abs/2211.11971 (2022) - 2020
- [c3]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 - [i4]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)
2010 – 2019
- 2019
- [p1]Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
:
Unsupervised Discrete Representation Learning. Explainable AI 2019: 97-119 - 2017
- [c2]Masaki Saito, Eiichi Matsumoto, Shunta Saito:
Temporal Generative Adversarial Nets with Singular Value Clipping. ICCV 2017: 2849-2858 - [c1]Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama:
Learning Discrete Representations via Information Maximizing Self-Augmented Training. ICML 2017: 1558-1567 - [i3]Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama:
Learning Discrete Representations via Information Maximizing Self Augmented Training. CoRR abs/1702.08720 (2017) - [i2]Ayaka Kume, Eiichi Matsumoto, Kuniyuki Takahashi, Wilson Ko, Jethro Tan:
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning. CoRR abs/1710.06117 (2017) - 2016
- [i1]Masaki Saito, Eiichi Matsumoto:
Temporal Generative Adversarial Nets. CoRR abs/1611.06624 (2016)
Coauthor Index
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