Kurita, Takio
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1

Improved Head and Data Augmentation to Reduce Artifacts at ..:

UCHINOURA, Shinji ; KURITA, Takio
IEICE Transactions on Information and Systems.  E107.D (2024)  1 - p. 115-124 , 2024
 
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3

Clustering of Face Images in Video by Using Deep Learning:

, In: Communications in Computer and Information Science; Frontiers of Computer Vision,
Tada, Eito ; Kurita, Takio - p. 14-26 , 2024
 
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4

Tackling Background Misclassification in Box-Supervised Seg..:

, In: Communications in Computer and Information Science; Frontiers of Computer Vision,
Zhang, Zhicheng ; Kurita, Takio - p. 1-13 , 2024
 
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6

Additional Learning for Joint Probability Distribution Matc..:

, In: Neural Information Processing; Lecture Notes in Computer Science,
Zheng, Jiazhou ; Aizawa, Hiroaki ; Kurita, Takio - p. 165-176 , 2023
 
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7

Image Inpainting for Large and Irregular Mask Based on Part..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Wang, Yin ; Aizawa, Hiroaki ; Kurita, Takio - p. 115-128 , 2023
 
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9

Neural Radiance Fields with Regularizer Based on Difference..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
 
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10

Facial Image Manipulation via Discriminative Decomposition ..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
 
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11

Graph Laplacian Regularization based on the Differences of ..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),
Uchinoura, Shinji ; Kurita, Takio - p. 3611-3617 , 2022
 
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12

Weakly-Supervised Action Localization, and Action Recogniti..:

Yudistira, Novanto ; Kavitha, Muthu Subash ; Kurita, Takio
International Journal of Computer Vision.  130 (2022)  10 - p. 2349-2363 , 2022
 
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13

Optimization of Re-ranking Based on k-Reciprocal for Vehicl..:

, In: Communications in Computer and Information Science; Frontiers of Computer Vision,
Liu, Simin ; Konishi, Yuta ; Miyao, Junichi. - p. 300-311 , 2022
 
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14

Sample Selection Approach with Number of False Predictions ..:

NOMURA, Yuichiro ; KURITA, Takio
IEICE Transactions on Information and Systems.  E105.D (2022)  10 - p. 1759-1768 , 2022
 
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15

Supervised Learning for Convolutional Neural Network with B..:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2022,
 
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