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ORCIDTakumi Kobayashi 0001
小林匠
Person information
- unicode name: 小林匠
- affiliation: National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
- affiliation (PhD 2009): University of Tsukuba, Japan
- affiliation: University of Tokyo, Graduate School of Information Science and Technology, Japan
Other persons with the same name
- Takumi Kobayashi — disambiguation page
- Takumi Kobayashi 0002 — Yokohama National University, Graduate School of Science and Engineering, Japan
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2020 – today
- 2024
[c83]Takumi Kobayashi, Jiaxing Ye:
Spatio-temporal Filter Analysis Improves 3D-CNN For Action Classification. WACV 2024: 6957-6966- 2023
- [j17]Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui:
Grassmannian learning mutual subspace method for image set recognition. Neurocomputing 517: 20-33 (2023) - [j16]Kazuhiro Fukui
, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant Feature Extraction by Generalized Difference Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1618-1635 (2023) - [j15]Takumi Kobayashi:
Disentangled convolution for optimizing receptive field. Pattern Recognit. Lett. 169: 67-74 (2023) - [c82]Takumi Kobayashi, Lincon S. Souza, Kazuhiro Fukui:
Domain-Sum Feature Transformation For Multi-Target Domain Adaptation. BMVC 2023: 197-201 - [c81]Takumi Kobayashi:
Two-Way Multi-Label Loss. CVPR 2023: 7476-7485 - [c80]Takumi Kobayashi, Kenji Watanabe:
End-to-End Trainable Weakly Non-Negative Factorization. ICIP 2023: 490-494 - 2022
- [c79]Takumi Kobayashi:
Mutual Conditional Probability for Self-Supervised Learning. BMVC 2022: 1052 - [c78]Takumi Kobayashi:
Rotation Regularization Without Rotation. ECCV (25) 2022: 641-657 - [c77]Takumi Kobayashi:
Extractive Knowledge Distillation. WACV 2022: 1350-1359 - 2021
- [c76]Takumi Kobayashi:
T-vMF Similarity for Regularizing Intra-Class Feature Distribution. CVPR 2021: 6616-6625 - [c75]Takumi Kobayashi:
Group Softmax Loss with Discriminative Feature Grouping. WACV 2021: 2614-2623 - [c74]Takumi Kobayashi:
Phase-wise Parameter Aggregation For Improving SGD Optimization. WACV 2021: 2624-2633 - [i2]Lincon Sales de Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui:
Grassmannian learning mutual subspace method for image set recognition. CoRR abs/2111.04352 (2021) - 2020
- [j14]Hidenori Ide, Takumi Kobayashi, Kenji Watanabe, Takio Kurita:
Robust pruning for efficient CNNs. Pattern Recognit. Lett. 135: 90-98 (2020) - [j13]Jiaxing Ye, Takumi Kobayashi, Xiaoyan Wang, Hiroshi Tsuda, Masahiro Murakawa:
Audio Data Mining for Anthropogenic Disaster Identification: An Automatic Taxonomy Approach. IEEE Trans. Emerg. Top. Comput. 8(1): 126-136 (2020) - [c73]Lincon Sales de Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui:
An Interface between Grassmann manifolds and vector spaces. CVPR Workshops 2020: 3695-3704 - [c72]Takumi Kobayashi:
SCW-SGD: Stochastically Confidence-Weighted SGD. ICIP 2020: 1746-1750
2010 – 2019
- 2019
- [c71]Takumi Kobayashi:
Large Margin In Softmax Cross-Entropy Loss. BMVC 2019: 139 - [c70]Takumi Kobayashi:
Global Feature Guided Local Pooling. ICCV 2019: 3364-3373 - [c69]Takumi Kobayashi, Hidenori Ide, Kenji Watanabe:
Simple ConvNet Based on Bag of MLP-Based Local Descriptors. ICONIP (4) 2019: 207-215 - [c68]Takumi Kobayashi:
Gaussian-Based Pooling for Convolutional Neural Networks. NeurIPS 2019: 11214-11224 - [i1]Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant analysis based on projection onto generalized difference subspace. CoRR abs/1910.13113 (2019) - 2018
- [j12]Jiaxing Ye, Takumi Kobayashi, Masaya Iwata, Hiroshi Tsuda, Masahiro Murakawa:
Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning. Sensors 18(3): 833 (2018) - [c67]Takumi Kobayashi:
Spiral-Net with F1-Based Optimization for Image-Based Crack Detection. ACCV (1) 2018: 88-104 - [c66]Takumi Kobayashi:
GAN-based Semi-supervised Learning On Fewer Labeled Samples. BMVC 2018: 99 - [c65]Takumi Kobayashi:
Analyzing Filters Toward Efficient ConvNet. CVPR 2018: 5619-5628 - [c64]Takumi Kobayashi:
Trainable Co-Occurrence Activation Unit for Improving Convnet. ICASSP 2018: 1273-1277 - 2017
- [c63]Takumi Kobayashi:
Feature Sequence Representation Via Slow Feature Analysis For Action Classification. BMVC 2017 - [c62]Jiaxing Ye, Takumi Kobayashi, Hiroshi Tsuda, Masahiro Murakawa:
Discriminant kernel learning for acoustic scene classification with multiple observations. EUSIPCO 2017: 1824-1828 - [c61]Takumi Kobayashi:
Flip-Invariant Motion Representation. ICCV 2017: 5629-5638 - [c60]Takumi Kobayashi:
Sharing ConvNet Across Heterogeneous Tasks. ICONIP (2) 2017: 343-353 - 2016
- [j11]Takumi Kobayashi:
Discriminative local binary pattern. Mach. Vis. Appl. 27(8): 1175-1186 (2016) - [c59]Takumi Kobayashi:
Learning Additive Kernel For Feature Transformation and Its Application to CNN Features. BMVC 2016 - [c58]Takumi Kobayashi:
Structured Feature Similarity with Explicit Feature Map. CVPR 2016: 1211-1219 - [c57]Takumi Kobayashi, Jiaxing Ye:
Discriminatively learned filter bank for acoustic features. ICASSP 2016: 649-653 - [c56]Takumi Kobayashi:
Histogram feature deblurring. ICASSP 2016: 1871-1875 - [c55]Takumi Kobayashi:
Learning data-driven image similarity measure. ICPR 2016: 3679-3684 - 2015
- [c54]Takumi Kobayashi:
Discriminative Local Binary Pattern for Image Feature Extraction. CAIP (1) 2015: 594-605 - [c53]Takumi Kobayashi:
Three viewpoints toward exemplar SVM. CVPR 2015: 2765-2773 - [c52]Kenji Nishida, Takumi Kobayashi, Taro Iwamoto, Shinya Yamasaki:
Pedestrian Action Prediction using Static Image Feature. IJCCI (NCTA) 2015: 99-105 - [c51]Kenji Nishida, Takumi Kobayashi, Taro Iwamoto, Shinya Yamasaki:
Preindication Mining for Predicting Pedestrian Action Change. IJCCI (Selected Papers) 2015: 359-370 - [c50]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Acoustic Scene Classification based on Sound Textures and Events. ACM Multimedia 2015: 1291-1294 - 2014
- [j10]Takumi Kobayashi:
Low-Rank Bilinear Classification: Efficient Convex Optimization and Extensions. Int. J. Comput. Vis. 110(3): 308-327 (2014) - [j9]Takumi Kobayashi:
Kernel-based transition probability toward similarity measure for semi-supervised learning. Pattern Recognit. 47(5): 1994-2010 (2014) - [c49]Takumi Kobayashi:
Dirichlet-Based Histogram Feature Transform for Image Classification. CVPR 2014: 3278-3285 - [c48]Takumi Kobayashi, Jiaxing Ye:
Acoustic feature extraction by statistics based local binary pattern for environmental sound classification. ICASSP 2014: 3052-3056 - [c47]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Robust acoustic feature extraction for sound classification based on noise reduction. ICASSP 2014: 5944-5948 - [c46]Takumi Kobayashi:
S3CCA: Smoothly Structured Sparse CCA for Partial Pattern Matching. ICPR 2014: 1981-1986 - [c45]Takumi Kobayashi, Kenji Nishida:
Learning Prior Bias in Classifier. ICPRAM (Selected Papers) 2014: 62-76 - [c44]Takumi Kobayashi, Kenji Nishida:
Discriminative Prior Bias Learning for Pattern Classification. ICPRAM 2014: 67-75 - [c43]Kenji Nishida, Takumi Kobayashi, Jun Fujiki:
Tracking by Shape with Deforming Prediction for Non-rigid Objects. ICPRAM 2014: 580-587 - 2013
- [c42]Takumi Kobayashi:
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification. CVPR 2013: 747-754 - [c41]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Kernel discriminant analysis for environmental sound recognition based on acoustic subspace. ICASSP 2013: 808-812 - [c40]Takumi Kobayashi:
Lp-regularized optimization by using orthant-wise approach for inducing sparsity. ICASSP 2013: 3327-3331 - [c39]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Incremental acoustic subspace learning for voice activity detection using harmonicity-based features. INTERSPEECH 2013: 695-699 - 2012
- [j8]Takumi Kobayashi, Kenji Watanabe, Nobuyuki Otsu:
Logistic label propagation. Pattern Recognit. Lett. 33(5): 580-588 (2012) - [j7]Takumi Kobayashi, Nobuyuki Otsu:
Motion recognition using local auto-correlation of space-time gradients. Pattern Recognit. Lett. 33(9): 1188-1195 (2012) - [c38]Takumi Kobayashi:
Generalized Mutual Subspace Based Methods for Image Set Classification. ACCV (1) 2012: 578-592 - [c37]Takumi Kobayashi:
Higher-order Co-occurrence Features based on Discriminative Co-clusters for Image Classification. BMVC 2012: 1-11 - [c36]Takumi Kobayashi, Nobuyuki Otsu:
Efficient Similarity Derived from Kernel-Based Transition Probability. ECCV (6) 2012: 371-385 - [c35]Takumi Kobayashi, Nobuyuki Otsu:
Efficient Optimization for Low-Rank Integrated Bilinear Classifiers. ECCV (2) 2012: 474-487 - 2011
- [j6]Tadaaki Hosaka, Takumi Kobayashi, Nobuyuki Otsu:
Object Detection Using Background Subtraction and Foreground Motion Estimation. IPSJ Trans. Comput. Vis. Appl. 3: 9-20 (2011) - [j5]Hirokazu Nosato, Tsukasa Kurihara, Hidenori Sakanashi, Masahiro Murakawa, Takumi Kobayashi, Tatsumi Furuya, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta:
An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images. IPSJ Trans. Comput. Vis. Appl. 3: 211-221 (2011) - [c34]Takumi Kobayashi, Nobuyuki Otsu:
One-class label propagation using local cone based similarity. FG 2011: 394-399 - [c33]Kenji Watanabe, Takumi Kobayashi, Katsuyuki Koike, Tetsuya Higuchi, Tohru Natsume, Nobuyuki Otsu:
Detection of peptide ion peaks in mass spectra by using weighted auto-correlation. ICASSP 2011: 621-624 - [c32]Takumi Kobayashi, Kôiti Hasida, Nobuyuki Otsu:
Rotation invariant feature extraction from 3-D acceleration signals. ICASSP 2011: 3684-3687 - [c31]Atsushi Yaguchi, Takumi Kobayashi, Kenji Watanabe, Kenji Iwata, Tadaaki Hosaka, Nobuyuki Otsu:
Cancer detection from biopsy images using probabilistic and discriminative features. ICIP 2011: 1609-1612 - [c30]Takumi Kobayashi, Kenji Watanabe, Nobuyuki Otsu:
L0-Regularized Parametric Non-negative Factorization for Analyzing Composite Signals. ICMLA (1) 2011: 161-165 - [c29]Kenji Watanabe, Takumi Kobayashi, Nobuyuki Otsu:
Efficient Optimization of Logistic Regression by Direct Use of Conjugate Gradient. ICMLA (1) 2011: 496-500 - [c28]Jiaxing Ye, Takumi Kobayashi, Tetsuya Higuchi, Nobuyuki Otsu:
Adaptive Abnormality Detection on ECG Signal by Utilizing FLAC Features. LION 2011: 218-225 - 2010
- [c27]Fumito Yoshikawa, Takumi Kobayashi, Kenji Watanabe, Katsuyoshi Shirai, Nobuyuki Otsu:
Start and End Point Detection of Weightlifting Motion using CHLAC and MRA. B-Interface 2010: 44-50 - [c26]Jiaxing Ye, Takumi Kobayashi, Tetsuya Higuchi:
Audio-Based Indoor Health Monitoring System Using FLAC Features. EST 2010: 90-95 - [c25]Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu:
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data. ICIP 2010: 3033-3036 - [c24]Takumi Kobayashi, Fumito Yoshikawa, Nobuyuki Otsu:
Cone-restricted kernel subspace methods. ICIP 2010: 3853-3856 - [c23]Takumi Kobayashi, Nobuyuki Otsu:
Bilinear Formulated Multiple Kernel Learning for Multi-class Classification Problem. ICONIP (2) 2010: 99-107 - [c22]Kenji Watanabe, Takumi Kobayashi, Nobuyuki Otsu:
Logistic Label Propagation for Semi-supervised Learning. ICONIP (1) 2010: 462-469 - [c21]Takumi Kobayashi, Nobuyuki Otsu:
Von Mises-Fisher Mean Shift for Clustering on a Hypersphere. ICPR 2010: 2130-2133 - [c20]Takumi Kobayashi, Nobuyuki Otsu:
Bag of Hierarchical Co-occurrence Features for Image Classification. ICPR 2010: 3882-3885 - [c19]Jiaxing Ye, Takumi Kobayashi, Tetsuya Higuchi:
Audio-based sports highlight detection by fourier local auto-correlations. INTERSPEECH 2010: 2198-2201
2000 – 2009
- 2009
- [j4]Takumi Kobayashi, Nobuyuki Otsu:
Three-way auto-correlation approach to motion recognition. Pattern Recognit. Lett. 30(3): 212-221 (2009) - [j3]Tadaaki Hosaka, Takumi Kobayashi, Nobuyuki Otsu:
Image matting based on local color discrimination by SVM. Pattern Recognit. Lett. 30(14): 1253-1263 (2009) - [c18]Kenji Iwata, Yutaka Satoh, Takumi Kobayashi, Toshio Ueshiba, Katsuhiko Sakaue, Kôiti Hasida, Nobuyuki Otsu, Yoichi Kameda, Yohei Miyagi, Yuji Sakuma, Keiji Kikuchi, Eiju Tsuchiya:
Toward a HLAC-Based Histological Diagnosis System for Virtual-Slide Images. BLISS 2009: 53-57 - [c17]Takumi Kobayashi, Tetsuya Higuchi, Tsuneharu Miyajima, Nobuyuki Otsu:
Recognition of Dynamic Texture Patterns Using CHLAC Features. BLISS 2009: 58-60 - [c16]Fumio Sakabe, Masahiro Murakawa, Takumi Kobayashi, Tetsuya Higuchi, Nobuyuki Otsu:
Anomalousness Detection for Surgery Videos Using CHLAC Feature. BLISS 2009: 66-68 - [c15]Takumi Kobayashi, Nobuyuki Otsu:
Color image feature extraction using color index local auto-correlations. ICASSP 2009: 1057-1060 - [c14]Takumi Kobayashi, Nobuyuki Otsu:
Efficient reduction of support vectors in kernel-based methods. ICIP 2009: 2077-2080 - 2008
- [c13]Kenji Iwata, Yutaka Satoh, Katsuhiko Sakaue, Takumi Kobayashi, Nobuyuki Otsu:
Development of Software for Real-Time Unusual Motions Detection by Using CHLAC. BLISS 2008: 34-39 - [c12]Takumi Kobayashi, Tadaaki Hosaka, Shu Mimura, Takashi Hayashi, Nobuyuki Otsu:
HLAC Approach to Automatic Object Counting. BLISS 2008: 40-45 - [c11]Shu Mimura, Keichi Itoh, Takumi Kobayashi, Tomohiro Takigawa, Atsushi Tajima, Atsushi Sawamura, Nobuyuki Otsu:
The Cow Gait Recognition Using CHLAC. BLISS 2008: 56-57 - [c10]Takumi Kobayashi, Nobuyuki Otsu:
Image Feature Extraction Using Gradient Local Auto-Correlations. ECCV (1) 2008: 346-358 - [c9]Takumi Kobayashi, Fumito Yoshikawa, Nobuyuki Otsu:
Motion image segmentation using global criteria and DP. FG 2008: 1-6 - [c8]Takumi Kobayashi, Nobuyuki Otsu:
Cone-restricted subspace methods. ICPR 2008: 1-4 - 2007
- [c7]Takumi Kobayashi, Tadaaki Hosaka, Nobuyuki Otsu:
Image Matting in the Framework of Quantification IV. ICIP (6) 2007: 57-60 - [c6]Kenji Iwata, Yutaka Satoh, Takumi Kobayashi, Ikushi Yoda, Nobuyuki Otsu:
Application of the Unusual Motion Detection Using CHLAC to the Video Surveillance. ICONIP (2) 2007: 628-636 - [c5]Tadaaki Hosaka, Takumi Kobayashi, Nobuyuki Otsu:
Image matting using SVM and neighboring information. VISAPP (1) 2007: 344-349 - 2006
- [c4]Takumi Kobayashi, Kazuo Misue, Buntarou Shizuki, Jiro Tanaka:
Information gathering support interface by the overview presentation of web search results. APVIS 2006: 103-108 - 2005
- [j2]Yasuo Kuniyoshi, Ryo Fukano, Takuya Otani, Takumi Kobayashi, Nobuyuki Otsu:
Haptic Detection of Object affordances by a Multi-fingered Robot Hand. Int. J. Humanoid Robotics 2(4): 415-435 (2005) - [j1]Ryo Fukano, Yasuo Kuniyoshi, Takuya Otani, Takumi Kobayashi, Nobuyuki Otsu:
Classification of Motion Constraints by Explorative Manipulation by a Compliant Multi-Fingered Hand. J. Robotics Mechatronics 17(6): 645-654 (2005) - [c3]Naoyuki Nomoto, Yusuke Shinohara, Takayoshi Shiraki, Takumi Kobayashi, Nobuyuki Otsu:
A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis. MVA 2005: 265-268 - 2004
- [c2]Ryo Fukano, Yasuo Kuniyoshi, Takumi Kobayashi, Takuya Otani, Nobuyuki Otsu:
Statistical manipulation learning of unknown objects by a multi-fingered robot hand. Humanoids 2004: 726-740 - [c1]Takumi Kobayashi, Nobuyuki Otsu:
Action and Simultaneous Multiple-Person Identification Using Cubic Higher-Order Local Auto-Correlation. ICPR (4) 2004: 741-744
Coauthor Index
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