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Motoaki Kawanabe
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2020 – today
- 2024
- [c64]Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Motoaki Kawanabe:
Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans. 3DV 2024: 717-727 - [c63]Ce Ju, Reinmar J. Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe:
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data. ICLR 2024 - [i9]Koya Sakamoto, Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe:
Map-based Modular Approach for Zero-shot Embodied Question Answering. CoRR abs/2405.16559 (2024) - [i8]Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Motoaki Kawanabe:
Answerability Fields: Answerable Location Estimation via Diffusion Models. CoRR abs/2407.18497 (2024) - 2023
- [c62]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 - [i7]Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Motoaki Kawanabe:
Cross3DVG: Baseline and Dataset for Cross-Dataset 3D Visual Grounding on Different RGB-D Scans. CoRR abs/2305.13876 (2023) - [i6]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 abs/2310.18773 (2023) - 2022
- [j31]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: 118794 (2022) - [j30]Ryuta Tamano, Takeshi Ogawa
, Arisa Katagiri, Chang Cai
Event-related microstate dynamics represents working memory performance. NeuroImage 263: 119669 (2022) - [c61]Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe:
ScanQA: 3D Question Answering for Spatial Scene Understanding. CVPR 2022: 19107-19117 - [c60]Reinmar J. Kobler, Jun-ichiro Hirayama, Motoaki Kawanabe:
Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold. ICASSP 2022: 3863-3867 - [c59]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 - [i5]Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe:
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. CoRR abs/2206.01323 (2022) - 2021
- [j29]Taiki Miyanishi
Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events. IEEE Access 9: 75003-75020 (2021) - [c58]Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias
On the interpretation of linear Riemannian tangent space model parameters in M/EEG. EMBC 2021: 5909-5913 - [c57]Taiki Miyanishi, Motoaki Kawanabe:
Watch, Listen, and Answer: Open-Ended VideoQA with Modulated Multi-Stream 3D ConvNets. EUSIPCO 2021: 706-710 - [i4]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 abs/2107.14398 (2021) - [i3]Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe:
ScanQA: 3D Question Answering for Spatial Scene Understanding. CoRR abs/2112.10482 (2021) - 2020
- [j28]Yujie Li
Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos. IEEE Access 8: 122281-122291 (2020) - [c56]Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe:
Two-Stream Spatiotemporal Compositional Attention Network for VideoQA. BMVC 2020
2010 – 2019
- 2019
- [c55]Marc Patrick H. Zapf, Motoaki Kawanabe, Luis Yoichi Morales Saiki:
Pedestrian Density Prediction for Efficient Mobile Robot Exploration. IROS 2019: 4615-4622 - 2018
- [c54]Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe:
Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. AAAI 2018: 142-150 - [c53]Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe:
Supervised saliency maps for first-person videos based on sparse coding. APSIPA 2018: 2000-2005 - [c52]Yujie Li, Atsunori Kanemura
A Sparse Coding Framework for Gaze Prediction in Egocentric Video. ICASSP 2018: 1313-1317 - [c51]Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura
Answering Mixed Type Questions about Daily Living Episodes. IJCAI 2018: 4265-4271 - [c50]Marc Patrick H. Zapf, Astha Gupta
Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications. RO-MAN 2018: 180-187 - 2017
- [c49]Hande Çelikkanat
Decoding emotional valence from electroencephalographic rhythmic activity. EMBC 2017: 4143-4146 - [c48]Yujie Li, Atsunori Kanemura
Extracting key frames from first-person videos in the common space of multiple sensors. ICIP 2017: 3993-3997 - [c47]Yujie Li, Atsunori Kanemura
Key frame extraction from first-person video with multi-sensor integration. ICME 2017: 1303-1308 - [c46]Junichiro Hirayama, Aapo Hyvärinen, Motoaki Kawanabe:
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling. ICML 2017: 1491-1500 - 2016
- [j27]Aapo Hyvärinen
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices. Neural Comput. 28(3): 445-484 (2016) - 2015
- [j26]Hiroshi Morioka, Atsunori Kanemura
Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage 111: 167-178 (2015) - [c45]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: 1107-1110 - [c44]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: 220-227 - 2014
- [j25]Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Müller
Robust Common Spatial Filters with a Maxmin Approach. Neural Comput. 26(2): 349-376 (2014) - [j24]Hiroshi Morioka, Atsunori Kanemura
Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. NeuroImage 90: 128-139 (2014) - [c43]Motoaki Kawanabe:
Robust feature construction against non-stationarity for EEG brain-machine interface. BCI 2014: 1-4 - [c42]Wojciech Samek, Motoaki Kawanabe:
Robust common spatial patterns by minimum divergence covariance estimator. ICASSP 2014: 2040-2043 - [c41]Aapo Hyvärinen
Dynamic connectivity factorization: Interpretable decompositions of non-stationarity. PRNI 2014: 1-4 - [p1]Alexander Binder
Machine Learning for Visual Concept Recognition and Ranking for Images. Towards the Internet of Services 2014: 211-223 - 2013
- [j23]Alexander Binder
Enhanced representation and multi-task learning for image annotation. Comput. Vis. Image Underst. 117(5): 466-478 (2013) - [c40]Atsunori Kanemura
A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. IROS 2013: 865-870 - [c39]Wojciech Samek, Duncan A. J. Blythe, Klaus-Robert Müller, Motoaki Kawanabe:
Robust Spatial Filtering with Beta Divergence. NIPS 2013: 1007-1015 - 2012
- [b1]Masashi Sugiyama, Motoaki Kawanabe:
Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation. Adaptive computation and machine learning, MIT Press 2012, ISBN 978-0-262-01709-1, pp. I-XIV, 1-261 - [j22]Alexander Binder
On Taxonomies for Multi-class Image Categorization. Int. J. Comput. Vis. 99(3): 281-301 (2012) - [c38]Wojciech Samek, Klaus-Robert Müller
Brain-computer interfacing in discriminative and stationary subspaces. EMBC 2012: 2873-2876 - 2011
- [j21]Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii:
Generalized TD Learning. J. Mach. Learn. Res. 12: 1977-2020 (2011) - [j20]Masashi Sugiyama, Makoto Yamada
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks 24(2): 183-198 (2011) - [j19]Carmen Vidaurre
Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 58(3): 587-597 (2011) - [j18]Fabian J. Theis
Uniqueness of Non-Gaussianity-Based Dimension Reduction. IEEE Trans. Signal Process. 59(9): 4478-4482 (2011) - [c37]Wojciech Samek, Alexander Binder
Multi-task Learning via Non-sparse Multiple Kernel Learning. CAIP (1) 2011: 335-342 - [c36]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 - [c35]Wojciech Wojcikiewicz, Carmen Vidaurre
Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation. HAIS (2) 2011: 34-41 - [c34]Javier Pascual, Motoaki Kawanabe, Carmen Vidaurre
Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis. HAIS (2) 2011: 51-58 - [c33]Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke:
An Information Geometrical View of Stationary Subspace Analysis. ICANN (2) 2011: 397-404 - [c32]Wojciech Wojcikiewicz, Carmen Vidaurre
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals. ICASSP 2011: 577-580 - [c31]Motoaki Kawanabe, Alexander Binder
Multi-modal visual concept classification of images via Markov random walk over tags. WACV 2011: 396-401 - [i2]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 abs/1112.3697 (2011) - 2010
- [j17]David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller:
How to Explain Individual Classification Decisions. J. Mach. Learn. Res. 11: 1803-1831 (2010) - [j16]Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui:
Dimensionality reduction for density ratio estimation in high-dimensional spaces. Neural Networks 23(1): 44-59 (2010) - [j15]Stefan Haufe
Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG. IEEE Trans. Biomed. Eng. 57(8): 1954-1963 (2010) - [c30]Alexander Binder
A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. ACCV (3) 2010: 95-108 - [c29]Wojciech Wojcikiewicz, Alexander Binder
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. ICIP 2010: 3849-3852 - [c28]Wojciech Wojcikiewicz, Alexander Binder
Enhancing Image Classification with Class-wise Clustered Vocabularies. ICPR 2010: 1060-1063 - [c27]Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe:
Direct Density Ratio Estimation with Dimensionality Reduction. SDM 2010: 595-606
2000 – 2009
- 2009
- [c26]Alexander Binder
Efficient Classification of Images with Taxonomies. ACCV (3) 2009: 351-362 - [c25]Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder
A procedure of adaptive kernel combination with kernel-target alignment for object classification. CIVR 2009 - [c24]Alexander Binder
Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning. CLEF (2) 2009: 269-276 - [c23]Alexander Binder, Motoaki Kawanabe:
Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning. CLEF (Working Notes) 2009 - [c22]Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller:
Learning invariances with Stationary Subspace Analysis. ICCV Workshops 2009: 87-92 - [c21]Motoaki Kawanabe, Carmen Vidaurre
A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. IWANN (1) 2009: 674-682 - [c20]Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) 2009: 473-488 - [i1]David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller:
How to Explain Individual Classification Decisions. CoRR abs/0912.1128 (2009) - 2008
- [j14]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. 91-D(5): 1577-1580 (2008) - [j13]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): 41-56 (2008) - [c19]Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii:
A semiparametric statistical approach to model-free policy evaluation. ICML 2008: 1072-1079 - 2007
- [j12]Motoaki Kawanabe, Fabian J. Theis
Joint low-rank approximation for extracting non-Gaussian subspaces. Signal Process. 87(8): 1890-1903 (2007) - [c18]Fabian J. Theis, Motoaki Kawanabe:
Colored Subspace Analysis. ICA 2007: 121-128 - [c17]Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller
Asymptotic Bayesian generalization error when training and test distributions are different. ICML 2007: 1079-1086 - [c16]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: 113-120 - [c15]Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii:
Heterogeneous Component Analysis. NIPS 2007: 1097-1104 - [c14]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: 1433-1440 - 2006
- [j11]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: 247-282 (2006) - [c13]Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA 2006: 149-156 - [c12]Motoaki Kawanabe, Fabian J. Theis
Estimating Non-Gaussian Subspaces by Characteristic Functions. ICA 2006: 157-164 - [c11]Fabian J. Theis, Motoaki Kawanabe:
Uniqueness of Non-Gaussian Subspace Analysis. ICA 2006: 917-925 - [c10]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: 608-611 - 2005
- [j10]Motoaki Kawanabe, Klaus-Robert Müller:
Estimating Functions for Blind Separation When Sources Have Variance Dependencies. J. Mach. Learn. Res. 6: 453-482 (2005) - [c9]Motoaki Kawanabe:
Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor. ICANN (2) 2005: 151-156 - [c8]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: 131-138 - 2004
- [j9]Koji Tsuda, Shotaro Akaho
Asymptotic Properties of the Fisher Kernel. Neural Comput. 16(1): 115-137 (2004) - [j8]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): 1077-1104 (2004) - [c7]Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller:
Regularizing generalization error estimators: a novel approach to robust model selection. ESANN 2004: 163-168 - [c6]Motoaki Kawanabe, Klaus-Robert Müller
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies. ICA 2004: 136-143 - 2003
- [j7]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: 1319-1338 (2003) - [j6]Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
Kernel-Based Nonlinear Blind Source Separation. Neural Comput. 15(5): 1089-1124 (2003) - [j5]Volker Roth
Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1540-1551 (2003) - 2002
- [j4]Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch
A New Discriminative Kernel from Probabilistic Models. Neural Comput. 14(10): 2397-2414 (2002) - [j3]Noboru Murata
On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks 15(4-6): 743-760 (2002) - [j2]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): 1514-1525 (2002) - [c5]Koji Tsuda, Motoaki Kawanabe:
The Leave-One-Out Kernel. ICANN 2002: 727-732 - [c4]Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller:
Clustering with the Fisher Score. NIPS 2002: 729-736 - 2001
- [c3]Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller:
Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS 2001: 761-768 - [c2]Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller:
A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984 - [c1]Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller:
Estimating the Reliability of ICA Projections. NIPS 2001: 1181-1188
1990 – 1999
- 1994
- [j1]Motoaki Kawanabe, Shun-ichi Amari:
Estimation of Network Parameters in Semiparametric Stochastic Perceptron. Neural Comput. 6(6): 1244-1261 (1994)
Coauthor Index
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