Takio Kurita

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 92

Top Venues

CoRR

IW-FCV

IJCNN

IEICE Trans. Inf. Syst.

Publications

Zhicheng Zhang, Takio Kurita
Tackling Background Misclassification in Box-Supervised Segmentation: A Background Constraint Approach. IW-FCV (2024)
Motoshi Abe, Yuichiro Nomura, Takio Kurita
Nonlinear dimensionality reduction with q-Gaussian distribution. Pattern Anal. Appl. 27 (1) (2024)
Shinji Uchinoura, Takio Kurita
Improved Head and Data Augmentation to Reduce Artifacts at Grid Boundaries in Object Detection. IEICE Trans. Inf. Syst. 107 (1) (2024)
Kohei Fukuda, Takio Kurita, Hiroaki Aizawa
Important Pixels Sampling for NeRF Training Based on Edge Values and Squared Errors Between the Ground Truth and the Estimated Colors. VISIGRAPP (2): VISAPP (2024)
Eito Tada, Takio Kurita
Clustering of Face Images in Video by Using Deep Learning. IW-FCV (2024)
Yuichiro Nomura, Takio Kurita
Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels. Int. J. Artif. Intell. Tools 32 (1) (2023)
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita
Attention-effective multiple instance learning on weakly stem cell colony segmentation. Intell. Syst. Appl. 17 (2023)
Kohei Fukuda, Takio Kurita, Hiroaki Aizawa
Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels. IJCNN (2023)
Jiazhou Zheng, Hiroaki Aizawa, Takio Kurita
Facial Image Manipulation via Discriminative Decomposition of Semantic Space. IJCNN (2023)
Yin Wang, Hiroaki Aizawa, Takio Kurita
Image Inpainting for Large and Irregular Mask Based on Partial Convolution and Cross Semantic Attention. ACPR (2) (2023)
Shinji Uchinoura, Jun'ichi Miyao, Takio Kurita
An Object Detection Method Using Probability Maps for Instance Segmentation to Mask Background. J. Adv. Comput. Intell. Intell. Informatics 27 (5) (2023)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. Neural Comput. Appl. 34 (1) (2022)
Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN. Int. J. Comput. Vis. 130 (10) (2022)
Huipeng Zheng, Lukman Hakim, Takio Kurita, Jun'ichi Miyao
Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels. CoRR (2022)
Jiazhou Zheng, Hiroaki Aizawa, Takio Kurita
Additional Learning for Joint Probability Distribution Matching in BiGAN. ICONIP (1) (2022)
Simin Liu, Yuta Konishi, Jun'ichi Miyao, Takio Kurita
Optimization of Re-ranking Based on k-Reciprocal for Vehicle Re-identification. IW-FCV (2022)
Shinji Uchinoura, Takio Kurita
Graph Laplacian Regularization based on the Differences of Neighboring Pixels for Conditional Convolutions for Instance Segmentation. ICPR (2022)
Hidenori Ide, Hiromu Fujishige, Jun'ichi Miyao, Takio Kurita
Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder. IW-FCV (2022)
Lukman Hakim, Takio Kurita
Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation. CoRR (2022)
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita
Attention-effective multiple instance learning on weakly stem cell colony segmentation. CoRR (2022)
Yuichiro Nomura, Takio Kurita
Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels. IEICE Trans. Inf. Syst. (10) (2022)
Ramyaa Murugan, Jonathan Mojoo, Takio Kurita
Supervised Learning for Convolutional Neural Network with Barlow Twins. ICANN (4) (2022)
Yuichiro Nomura, Takio Kurita
Consistency Regularization on Clean Samples for Learning with Noisy Labels. IEICE Trans. Inf. Syst. (2) (2022)
Yuichiro Nomura, Takio Kurita
Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation. IW-FCV (2021)
Huipeng Zheng, Lukman Hakim, Takio Kurita, Jun'ichi Miyao
Single-Image Super-Resolution Reconstruction Based on the Differences of Neighboring Pixels. ICONIP (5) (2021)
Motoshi Abe, Jun'ichi Miyao, Takio Kurita
Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network. IJCNN (2021)
Lukman Hakim, Muthu Subash Kavitha, Novanto Yudistira, Takio Kurita
Regularizer based on Euler characteristic for retinal blood vessel segmentation. Pattern Recognit. Lett. 149 (2021)
Motoshi Abe, Takio Kurita
q-Softplus Function: Extensions of Activation Function and Loss Function by Using q-Space. ACPR (2) (2021)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Autoencoder framework based on orthogonal projection constraints improves anomalies detection. Neurocomputing 450 (2021)
Gaojian Zhang, Takio Kurita
Age Estimation from the Age Period by Using Triplet Network. IW-FCV (2021)
Michiaki Ueda, Keijiro Kanda, Jun'ichi Miyao, Shogo Miyamoto, Yukiko Nakano, Takio Kurita
Invariant Feature Extraction for CNN Classifier by using Gradient Reversal Layer. SMC (2021)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. Neural Comput. Appl. 33 (20) (2021)
Jonathan Mojoo, Takio Kurita
Deep Metric Learning for Multi-Label and Multi-Object Image Retrieval. IEICE Trans. Inf. Syst. (6) (2021)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Mixture of experts with convolutional and variational autoencoders for anomaly detection. Appl. Intell. 51 (6) (2021)
Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN. CoRR (2020)
Hideki Oki, Motoshi Abe, Jun'ichi Miyao, Takio Kurita
Triplet Loss for Knowledge Distillation. CoRR (2020)
Lukman Hakim, Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. CoRR (2020)
Motoshi Abe, Jun'ichi Miyao, Takio Kurita
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding. ICPR (2020)
Michiaki Ueda, Yuichiro Nomura, Jun'ichi Miyao, Takio Kurita, Hiroshi Yamada
Non-negative Matrix Factorization of a set of Economic Time Series with Graph Based Smoothing of Basis Vectors and Sparseness of the Coefficients. SMC (2020)
Hideki Oki, Motoshi Abe, Jun'ichi Miyao, Takio Kurita
Triplet Loss for Knowledge Distillation. IJCNN (2020)
Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita
Channel Planting for Deep Neural Networks using Knowledge Distillation. ICPR (2020)
Motoshi Abe, Jun'ichi Miyao, Takio Kurita
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. IJCNN (2020)
Motoshi Abe, Jun'ichi Miyao, Takio Kurita
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. CoRR (2020)
Shah B. Shrey, Lukman Hakim, Muthu Subash Kavitha, Hae Won Kim, Takio Kurita
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection. CoRR (2020)
Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita
Channel Planting for Deep Neural Networks using Knowledge Distillation. CoRR (2020)
Kakeru Mitsuno, Takio Kurita
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. CoRR (2020)
Keijiro Kanda, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita
Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis. IW-FCV (2020)
Kakeru Mitsuno, Jun'ichi Miyao, Takio Kurita
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. IJCNN (2020)
Kakeru Mitsuno, Takio Kurita
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. ICPR (2020)
Shah B. Shrey, Lukman Hakim, Muthu Subash Kavitha, Hae Won Kim, Takio Kurita
Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection. IW-FCV (2020)
Novanto Yudistira, Takio Kurita
Correlation Net: Spatiotemporal multimodal deep learning for action recognition. Signal Process. Image Commun. 82 (2020)
Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita
Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization. IEICE Trans. Inf. Syst. (10) (2020)
Kakeru Mitsuno, Jun'ichi Miyao, Takio Kurita
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. CoRR (2020)
Motoshi Abe, Jun'ichi Miyao, Takio Kurita
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding. CoRR (2020)
Hidenori Ide, Takumi Kobayashi, Kenji Watanabe, Takio Kurita
Robust pruning for efficient CNNs. Pattern Recognit. Lett. 135 (2020)
Fangda Zhao, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda
On-line non-overlapping camera calibration net. CoRR (2020)
Xiaohan Wang, Jun'ichi Miyao, Takio Kurita
Short-Term Action Recognition by 3D Convolutional Neural Network with Pixel-Wise Evidences. IW-FCV (2020)
Muthu Subash Kavitha, Novanto Yudistira, Takio Kurita
Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease. IWCIA (2019)
Hideki Oki, Jun'ichi Miyao, Takio Kurita
Siamese Network for Classification with Optimization of AUC. ICONIP (2) (2019)
Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita
Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines. ICONIP (2) (2019)
Rarasmaya Indraswari, Takio Kurita, Agus Zainal Arifin, Nanik Suciati, Eha Renwi Astuti
Multi-projection deep learning network for segmentation of 3D medical images. Pattern Recognit. Lett. 125 (2019)
Novanto Yudistira, Takio Kurita
Deep Packet Flow: Action Recognition via Multiresolution Deep Wavelet Packet of Local Dense Optical Flows. J. Signal Process. Syst. 91 (6) (2019)
Hideki Oki, Takio Kurita
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network. CoRR (2019)
Lukman Hakim, Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. ICONIP (5) (2019)
Qien Yu, Muthu Subash Kavitha, Takio Kurita
Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder. ACPR (2) (2019)
Jonathan Mojoo, Motaz Sabri, Takio Kurita
Video Super Resolution with Estimation of Motion Information by Using Higher Resolution Images Obtained by Single Image Super Resolution. IJCNN (2019)
Nasrulloh R. B. S. Loka, Muthu Subash Kavitha, Takio Kurita
Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data. ICANN (1) (2019)
Hideki Oki, Takio Kurita
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network. ICONIP (2) (2018)
Muthu Subash Kavitha, Takio Kurita, Byeong-Cheol Ahn
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques. Comput. Biol. Medicine 94 (2018)
Motaz Sabri, Takio Kurita
Facial expression intensity estimation using Siamese and triplet networks. Neurocomputing 313 (2018)
Hidenori Ide, Takio Kurita
Convolutional Neural Network with Discriminant Criterion for Input of Each Neuron in Output Layer. ICONIP (1) (2018)
Ryusuke Yamada, Hidenori Ide, Novanto Yudistira, Takio Kurita
Texture Segmentation using Siamese Network and Hierarchical Region Merging. ICPR (2018)
Novanto Yudistira, Takio Kurita
Correlation Net : spatio temporal multimodal deep learning. CoRR (2018)
Shohei Kumagai, Kazuhiro Hotta, Takio Kurita
Mixture of counting CNNs. Mach. Vis. Appl. 29 (7) (2018)
Rarasmaya Indraswari, Takio Kurita, Agus Zainal Arifin, Nanik Suciati, Eha Renwi Astuti, Dini Adni Navastara
3D Region Merging for Segmentation of Teeth on Cone-Beam Computed Tomography Images. SCIS&ISIS (2018)
Fangda Zhao, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda
Marker-based non-overlapping camera calibration methods with additional support camera views. Image Vis. Comput. 70 (2018)
Hiromu Fujishige, Jun'ichi Miyao, Takio Kurita
Image Inpainting by Recursive Estimation Using Neural Network and Wavelet Transformation. ICONIP (6) (2017)
Hidenori Ide, Takio Kurita
Improvement of learning for CNN with ReLU activation by sparse regularization. IJCNN (2017)
Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. IEEE Access 5 (2017)
Jin Yamanaka, Shigesumi Kuwashima, Takio Kurita
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network. ICONIP (2) (2017)
Jonathan Mojoo, Keiichi Kurosawa, Takio Kurita
Deep CNN with Graph Laplacian Regularization for Multi-label Image Annotation. ICIAR (2017)
Motaz Sabri, Takio Kurita
Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders. IEICE Trans. Inf. Syst. (7) (2017)
Novanto Yudistira, Takio Kurita
Temporal Evolution of Motion Superpixel for Video Classification. CYBCONF (2017)
Novanto Yudistira, Takio Kurita
Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning. EURASIP J. Image Video Process. 2017 (2017)
Jin Yamanaka, Shigesumi Kuwashima, Takio Kurita
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network. CoRR (2017)
Shohei Kumagai, Kazuhiro Hotta, Takio Kurita
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting. CoRR (2017)
Bisser Raytchev, Atsuki Masuda, Masatoshi Minakawa, Kojiro Tanaka, Takio Kurita, Toru Imamura, Masashi Suzuki, Toru Tamaki, Kazufumi Kaneda
Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution. MICCAI (2) (2016)
Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
Discriminative Subtree Selection for NBI Endoscopic Image Labeling. ACCV Workshops (2) (2016)
Fangda Zhao, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda
Marker based simple non-overlapping camera calibration. ICIP (2016)
Akinori Hidaka, Takio Kurita
Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine. IEICE Trans. Inf. Syst. (11) (2016)
Hidenori Ide, Takio Kurita
Low level visual feature extraction by learning of multiple tasks for Convolutional Neural Networks. IJCNN (2016)
Toru Tamaki, Shoji Sonoyama, Takio Kurita, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka, Kazuaki Chayama
Domain Adaptation with L2 constraints for classifying images from different endoscope systems. CoRR (2016)
Takashi Takahashi, Takio Kurita
Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Xuezhen Li, Takio Kurita
Nonlinear discriminant analysis using K nearest neighbor estimation. FCV (2015)
Ran Li, Xuezhen Li, Takio Kurita
Soft local binary patterns. SoCPaR (2015)
Novanto Yudistira, Takio Kurita
Multiresolution Local Autocorrelation of Optical Flows over Time for Action Recognition. SMC (2015)
Atsuki Masuda, Bisser Raytchev, Takio Kurita, Toru Imamura, Masashi Suzuki, Toru Tamaki, Kazufumi Kaneda
Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features. MLMI (2015)
Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Yoko Kominami, Shinji Tanaka
Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. EMBC (2015)
Akinori Hidaka, Takio Kurita
Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model. S+SSPR (2014)
Zhouxin Yang, Takio Kurita
Improvements of Local Descriptor in HOG/SIFT by BOF Approach. IEICE Trans. Inf. Syst. (5) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Takio Kurita