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Keisuke Kawano
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2020 – today
- 2024
- [j3]Keisuke Kawano, Satoshi Koide, Hiroaki Shiokawa, Toshiyuki Amagasa:
Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs. IEICE Trans. Inf. Syst. 107(5): 683-693 (2024) - [c14]Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna:
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. AISTATS 2024: 1666-1674 - [i7]Keisuke Kawano, Takuro Kutsuna, Keisuke Sano:
How many views does your deep neural network use for prediction? CoRR abs/2402.01095 (2024) - [i6]Yasushi Esaki
, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna:
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. CoRR abs/2402.13765 (2024) - 2023
- [j2]Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki
StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space. Image Vis. Comput. 138: 104808 (2023) - [i5]Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki:
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space. CoRR abs/2303.05102 (2023) - 2022
- [c13]Keisuke Kawano, Satoshi Koide, Keisuke Otaki:
Partial Wasserstein Covering. AAAI 2022: 7115-7123 - [c12]Ryoko Tokuhisa, Keisuke Kawano, Akihiro Nakamura, Satoshi Koide:
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs. COLING 2022: 3175-3186 - 2021
- [c11]Noriaki Hirose, Shun Taguchi, Keisuke Kawano, Satoshi Koide:
Variational Monocular Depth Estimation for Reliability Prediction. 3DV 2021: 637-647 - [c10]Noriaki Hirose, Satoshi Koide, Keisuke Kawano, Ruho Kondo:
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation. ICRA 2021: 12868-12874 - [c9]Satoshi Koide, Keisuke Kawano, Akihiro Nakamura, Takuro Kutsuna
Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection. ITSC 2021: 2738-2745 - [i4]Keisuke Kawano, Satoshi Koide, Keisuke Otaki:
Partial Wasserstein Covering. CoRR abs/2106.00886 (2021) - 2020
- [j1]Keisuke Kawano
Seq2seq Fingerprint with Byte-Pair Encoding for Predicting Changes in Protein Stability upon Single Point Mutation. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1762-1772 (2020) - [c8]Keisuke Kawano, Satoshi Koide, Takuro Kutsuna
Learning Wasserstein Isometric Embedding for Point Clouds. 3DV 2020: 473-482 - [c7]Keisuke Kawano, Takuro Kutsuna
Neural Time Warping for Multiple Sequence Alignment. ICASSP 2020: 3837-3841 - [i3]Noriaki Hirose, Satoshi Koide, Keisuke Kawano, Ruho Kondo:
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation. CoRR abs/2006.02068 (2020) - [i2]Keisuke Kawano, Takuro Kutsuna, Satoshi Koide:
Neural Time Warping For Multiple Sequence Alignment. CoRR abs/2006.15753 (2020) - [i1]Noriaki Hirose, Shun Taguchi, Keisuke Kawano, Satoshi Koide:
Variational Monocular Depth Estimation for Reliability Prediction. CoRR abs/2011.11912 (2020)
2010 – 2019
- 2019
- [c6]Keisuke Kawano, Satoshi Koide, Takuro Kutsuna:
Canonical Soft Time Warping. ACML 2019: 551-566 - [c5]Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna:
Flow-based Image-to-Image Translation with Feature Disentanglement. NeurIPS 2019: 4170-4180 - 2018
- [c4]Satoshi Koide, Keisuke Kawano, Takuro Kutsuna:
Neural Edit Operations for Biological Sequences. NeurIPS 2018: 4965-4975 - 2017
- [c3]Hiroki Mori
Causal Patterns: Extraction of Multiple Causal Relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis. DSAA 2017: 744-754 - 2013
- [c2]Yuji Oshima, Dai Hirose, Syohei Toyoyama, Keisuke Kawano, Shibo Qin, Tomoya Suzuki, Kazumasa Shibata, Takashi Takuma, Minoru Asada:
RoboCup 2013: Best Humanoid Award Winner JoiTech. RoboCup 2013: 68-79
2000 – 2009
- 2006
- [c1]Ryosuke Ichikari
Mixed reality pre-visualization and camera-work authoring in filmmaking. ISMAR 2006: 239-240
Coauthor Index
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