Mixed reality pre-visualization and camera-work authoring in filmmaking. - Ryosuke Ichikari; Keisuke Kawano; Asako Kimura; Fumihisa Shibata; Hideyuki Tamura (ISMAR, 2006)

RoboCup 2013: Best Humanoid Award Winner JoiTech. - Yuji Oshima; Dai Hirose; Syohei Toyoyama; Keisuke Kawano; Shibo Qin; Tomoya Suzuki; Kazumasa Shibata; Takashi Takuma; Minoru Asada (RoboCup, 2013)

Causal Patterns: Extraction of Multiple Causal Relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis. - Hiroki Mori; Keisuke Kawano; Hiroki Yokoyama (DSAA, 2017)

Neural Edit Operations for Biological Sequences. - Satoshi Koide; Keisuke Kawano; Takuro Kutsuna (NeurIPS, 2018)

Canonical Soft Time Warping. - Keisuke Kawano; Satoshi Koide; Takuro Kutsuna (ACML, 2019)

Flow-based Image-to-Image Translation with Feature Disentanglement. - Ruho Kondo; Keisuke Kawano; Satoshi Koide; Takuro Kutsuna (NeurIPS, 2019)

Learning Wasserstein Isometric Embedding for Point Clouds. - Keisuke Kawano; Satoshi Koide; Takuro Kutsuna (3DV, 2020)

Neural Time Warping for Multiple Sequence Alignment. - Keisuke Kawano; Takuro Kutsuna; Satoshi Koide (ICASSP, 2020)

Seq2seq Fingerprint with Byte-Pair Encoding for Predicting Changes in Protein Stability upon Single Point Mutation. - Keisuke Kawano; Satoshi Koide; Chie Imamura (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Variational Monocular Depth Estimation for Reliability Prediction. - Noriaki Hirose; Shun Taguchi; Keisuke Kawano; Satoshi Koide (3DV, 2021)

PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation. - Noriaki Hirose; Satoshi Koide; Keisuke Kawano; Ruho Kondo (ICRA, 2021)

Finding Misdetections in Unlabeled Image Database: Toward Reliable Object Detection. - Satoshi Koide; Keisuke Kawano; Akihiro Nakamura; Takuro Kutsuna; Naoki Mitsumoto (ITSC, 2021)

Partial Wasserstein Covering. - Keisuke Kawano; Satoshi Koide; Keisuke Otaki (AAAI, 2022)

Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs. - Ryoko Tokuhisa; Keisuke Kawano; Akihiro Nakamura; Satoshi Koide (COLING, 2022)

StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space. - Keisuke Kawano; Takuro Kutsuna; Ryoko Tokuhisa; Akihiro Nakamura; Yasushi Esaki (Image Vis. Comput., 2023)

Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. - Yasushi Esaki; Akihiro Nakamura; Keisuke Kawano; Ryoko Tokuhisa; Takuro Kutsuna (AISTATS, 2024)

How many views does your deep neural network use for prediction? - Keisuke Kawano; Takuro Kutsuna; Keisuke Sano (CoRR, 2024)

Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs. - Keisuke Kawano; Satoshi Koide; Hiroaki Shiokawa; Toshiyuki Amagasa (IEICE Trans. Inf. Syst., 2024)

Minimal sufficient views: A DNN model making predictions with more evidence has higher accuracy. - Keisuke Kawano; Takuro Kutsuna; Keisuke Sano (Neural Networks, 2025)

CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots. - Keisuke Kawano; Takuro Kutsuna; Naoki Hayashi; Yasushi Esaki; Hidenori Tanaka (CoRR, 2025)