Motoaki Kawanabe

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 30

Top Venues

CoRR

NeuroImage

EMBC

ICASSP

Publications

Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. CoRR (2023)
Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Motoaki Kawanabe
Cross3DVG: Baseline and Dataset for Cross-Dataset 3D Visual Grounding on Different RGB-D Scans. CoRR (2023)
Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. NeurIPS (2023)
Ryuta Tamano, Takeshi Ogawa, Arisa Katagiri, Chang Cai, Tomohisa Asai, Motoaki Kawanabe
Event-related microstate dynamics represents working memory performance. NeuroImage 263 (2022)
Reinmar J. Kobler, Jun-ichiro Hirayama, Motoaki Kawanabe
Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold. ICASSP (2022)
Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. NeurIPS (2022)
Takeshi Ogawa, Hideki Shimobayashi, Jun-Ichiro Hirayama, Motoaki Kawanabe
Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution. NeuroImage 247 (2022)
Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe
ScanQA: 3D Question Answering for Spatial Scene Understanding. CVPR (2022)
Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. CoRR (2022)
Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias, Gernot R. Müller-Putz, Motoaki Kawanabe
On the interpretation of linear Riemannian tangent space model parameters in M/EEG. EMBC (2021)
Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias, Gernot R. Müller-Putz, Motoaki Kawanabe
On the interpretation of linear Riemannian tangent space model parameters in M/EEG. CoRR (2021)
Taiki Miyanishi, Motoaki Kawanabe
Watch, Listen, and Answer: Open-Ended VideoQA with Modulated Multi-Stream 3D ConvNets. EUSIPCO (2021)
Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe
ScanQA: 3D Question Answering for Spatial Scene Understanding. CoRR (2021)
Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe
Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events. IEEE Access 9 (2021)
Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos. IEEE Access 8 (2020)
Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe
Two-Stream Spatiotemporal Compositional Attention Network for VideoQA. BMVC (2020)
Marc Patrick H. Zapf, Motoaki Kawanabe, Luis Yoichi Morales Saiki
Pedestrian Density Prediction for Efficient Mobile Robot Exploration. IROS (2019)
Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe
Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. AAAI (2018)
Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
Supervised saliency maps for first-person videos based on sparse coding. APSIPA (2018)
Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
A Sparse Coding Framework for Gaze Prediction in Egocentric Video. ICASSP (2018)
Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe
Answering Mixed Type Questions about Daily Living Episodes. IJCAI (2018)
Marc Patrick H. Zapf, Astha Gupta, Luis Yoichi Morales Saiki, Motoaki Kawanabe
Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications. RO-MAN (2018)
Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
Key frame extraction from first-person video with multi-sensor integration. ICME (2017)
Junichiro Hirayama, Aapo Hyvärinen, Motoaki Kawanabe
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling. ICML (2017)
Hande Çelikkanat, Hiroki Moriya, Takeshi Ogawa, Jukka-Pekka Kauppi, Motoaki Kawanabe, Aapo Hyvärinen
Decoding emotional valence from electroencephalographic rhythmic activity. EMBC (2017)
Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
Extracting key frames from first-person videos in the common space of multiple sensors. ICIP (2017)
Aapo Hyvärinen, Junichiro Hirayama, Vesa Kiviniemi, Motoaki Kawanabe
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices. Neural Comput. 28 (3) (2016)
Takeshi Ogawa, Junichiro Hirayama, Pankaj Gupta, Hiroki Moriya, Shumpei Yamaguchi, Akihiro Ishikawa, Yoshihiro Inoue, Motoaki Kawanabe, Shin Ishii
Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy. EMBC (2015)
Ken Yano, Takeshi Ogawa, Motoaki Kawanabe, Takayuki Suyama
On-line Hand Gesture Recognition to Control Digital TV using a Boosted and Randomized Clustering Forest. VISAPP (2) (2015)
Hiroshi Morioka, Atsunori Kanemura, Junichiro Hirayama, Manabu Shikauchi, Takeshi Ogawa, Shigeyuki Ikeda, Motoaki Kawanabe, Shin Ishii
Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage 111 (2015)
Aapo Hyvärinen, Junichiro Hirayama, Motoaki Kawanabe
Dynamic connectivity factorization: Interpretable decompositions of non-stationarity. PRNI (2014)
Hiroshi Morioka, Atsunori Kanemura, Satoshi Morimoto, Taku Yoshioka, Shigeyuki Oba, Motoaki Kawanabe, Shin Ishii
Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. NeuroImage 90 (2014)
Motoaki Kawanabe
Robust feature construction against non-stationarity for EEG brain-machine interface. BCI (2014)
Wojciech Samek, Motoaki Kawanabe
Robust common spatial patterns by minimum divergence covariance estimator. ICASSP (2014)
Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Müller, Carmen Vidaurre
Robust Common Spatial Filters with a Maxmin Approach. Neural Comput. 26 (2) (2014)
Atsunori Kanemura, Yoichi Morales Saiki, Motoaki Kawanabe, Hiroshi Morioka, Nagasrikanth Kallakuri, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita, Shin Ishii
A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. IROS (2013)
Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
Enhanced representation and multi-task learning for image annotation. Comput. Vis. Image Underst. 117 (5) (2013)
Wojciech Samek, Duncan A. J. Blythe, Klaus-Robert Müller, Motoaki Kawanabe
Robust Spatial Filtering with Beta Divergence. NIPS (2013)
Alexander Binder, Klaus-Robert Müller, Motoaki Kawanabe
On Taxonomies for Multi-class Image Categorization. Int. J. Comput. Vis. 99 (3) (2012)
Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe, Carmen Vidaurre
Brain-computer interfacing in discriminative and stationary subspaces. EMBC (2012)
Wojciech Samek, Alexander Binder, Motoaki Kawanabe
Multi-task Learning via Non-sparse Multiple Kernel Learning. CAIP (1) (2011)
Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR (2011)
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe
Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation. HAIS (2) (2011)
Javier Pascual, Motoaki Kawanabe, Carmen Vidaurre
Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis. HAIS (2) (2011)
Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke
An Information Geometrical View of Stationary Subspace Analysis. ICANN (2) (2011)
Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe
The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. CLEF (Notebook Papers/Labs/Workshop) (2011)
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals. ICASSP (2011)
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
Generalized TD Learning. J. Mach. Learn. Res. 12 (2011)
Carmen Vidaurre, Motoaki Kawanabe, Paul von Bünau, Benjamin Blankertz, Klaus-Robert Müller
Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 58 (3) (2011)
Motoaki Kawanabe, Alexander Binder, Christina Müller, Wojciech Wojcikiewicz
Multi-modal visual concept classification of images via Markov random walk over tags. WACV (2011)
Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks 24 (2) (2011)
Fabian J. Theis, Motoaki Kawanabe, Klaus-Robert Müller
Uniqueness of Non-Gaussianity-Based Dimension Reduction. IEEE Trans. Signal Process. 59 (9) (2011)
Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe
Direct Density Ratio Estimation with Dimensionality Reduction. SDM (2010)
Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe
A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. ACCV (3) (2010)
Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe
Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG. IEEE Trans. Biomed. Eng. 57 (8) (2010)
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
Dimensionality reduction for density ratio estimation in high-dimensional spaces. Neural Networks 23 (1) (2010)
Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. ICIP (2010)
David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
How to Explain Individual Classification Decisions. J. Mach. Learn. Res. 11 (2010)
Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
Enhancing Image Classification with Class-wise Clustered Vocabularies. ICPR (2010)
David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
How to Explain Individual Classification Decisions CoRR (2009)
Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller
Learning invariances with Stationary Subspace Analysis. ICCV Workshops (2009)
Motoaki Kawanabe, Carmen Vidaurre, Benjamin Blankertz, Klaus-Robert Müller
A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. IWANN (1) (2009)
Alexander Binder, Motoaki Kawanabe
Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning. CLEF (Working Notes) (2009)
Alexander Binder, Motoaki Kawanabe
Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning. CLEF (2) (2009)
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
Efficient Classification of Images with Taxonomies. ACCV (3) (2009)
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) (2009)
Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder
A procedure of adaptive kernel combination with kernel-target alignment for object classification. CIVR (2009)
Benjamin Blankertz, Ryota Tomioka, Steven Lemm, Motoaki Kawanabe, Klaus-Robert Müller
Optimizing Spatial filters for Robust EEG Single-Trial Analysis. IEEE Signal Process. Mag. 25 (1) (2008)
Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii
A semiparametric statistical approach to model-free policy evaluation. ICML (2008)
Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Klaus-Robert Müller
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise. IEICE Trans. Inf. Syst. (5) (2008)
Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller
Asymptotic Bayesian generalization error when training and test distributions are different. ICML (2007)
Motoaki Kawanabe, Fabian J. Theis
Joint low-rank approximation for extracting non-Gaussian subspaces. Signal Process. 87 (8) (2007)
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike U. Hohlefeld, Vadim V. Nikulin, Klaus-Robert Müller
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing. NIPS (2007)
Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii
Heterogeneous Component Analysis. NIPS (2007)
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. NIPS (2007)
Fabian J. Theis, Motoaki Kawanabe
Colored Subspace Analysis. ICA (2007)
Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
In Search of Non-Gaussian Components of a High-Dimensional Distribution. J. Mach. Learn. Res. 7 (2006)
Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA (2006)
Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir G. Spokoiny, Klaus-Robert Müller
Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. ICASSP (3) (2006)
Motoaki Kawanabe, Fabian J. Theis
Estimating Non-Gaussian Subspaces by Characteristic Functions. ICA (2006)
Fabian J. Theis, Motoaki Kawanabe
Uniqueness of Non-Gaussian Subspace Analysis. ICA (2006)
Motoaki Kawanabe, Klaus-Robert Müller
Estimating Functions for Blind Separation When Sources Have Variance Dependencies. J. Mach. Learn. Res. 6 (2005)
Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir G. Spokoiny, Klaus-Robert Müller
Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. NIPS (2005)
Motoaki Kawanabe
Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor. ICANN (2) (2005)
Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
Regularizing generalization error estimators: a novel approach to robust model selection. ESANN (2004)
Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. Neural Comput. 16 (5) (2004)
Motoaki Kawanabe, Klaus-Robert Müller
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies. ICA (2004)
Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller
Asymptotic Properties of the Fisher Kernel. Neural Comput. 16 (1) (2004)
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. J. Mach. Learn. Res. 4 (2003)
Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann
Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. 25 (12) (2003)
Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
Kernel-Based Nonlinear Blind Source Separation. Neural Comput. 15 (5) (2003)
Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari
On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks 15 (4-6) (2002)
Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller
Clustering with the Fisher Score. NIPS (2002)
Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
A New Discriminative Kernel from Probabilistic Models. Neural Comput. 14 (10) (2002)
Koji Tsuda, Motoaki Kawanabe
The Leave-One-Out Kernel. ICANN (2002)
Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
A resampling approach to estimate the stability of one-dimensional or multidimensional independent components. IEEE Trans. Biomed. Eng. 49 (12) (2002)
Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS (2001)
Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
A New Discriminative Kernel From Probabilistic Models. NIPS (2001)
Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
Estimating the Reliability of ICA Projections. NIPS (2001)
Motoaki Kawanabe, Shun-ichi Amari
Estimation of Network Parameters in Semiparametric Stochastic Perceptron. Neural Comput. 6 (6) (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Motoaki Kawanabe