[go: up one dir, main page]

Follow
Shoichiro Takeda
Shoichiro Takeda
NTT
Verified email at ntt.com
Title
Cited by
Cited by
Year
Jerk-aware video acceleration magnification
S Takeda, K Okami, D Mikami, M Isogai, H Kimata
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
502018
Video magnification in the wild using fractional anisotropy in temporal distribution
S Takeda, Y Akagi, K Okami, M Isogai, H Kimata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
382019
Deep feature compression using spatio-temporal arrangement toward collaborative intelligent world
S Suzuki, S Takeda, M Takagi, R Tanida, H Kimata, H Shouno
IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3934-3946, 2021
262021
Image enhanced rotation prediction for self-supervised learning
S Yamaguchi, S Kanai, T Shioda, S Takeda
2021 IEEE International Conference on Image Processing (ICIP), 489-493, 2021
212021
Deep feature compression with spatio-temporal arranging for collaborative intelligence
S Suzuki, M Takagi, S Takeda, R Tanida, H Kimata
2020 IEEE International Conference on Image Processing (ICIP), 3099-3103, 2020
212020
Bilateral video magnification filter
S Takeda, K Niwa, M Isogawa, S Shimizu, K Okami, Y Aono
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
172022
Action quality assessment with ignoring scene context
T Nagai, S Takeda, M Matsumura, S Shimizu, S Yamamoto
2021 IEEE International Conference on Image Processing (ICIP), 1189-1193, 2021
122021
Adversarial finetuning with latent representation constraint to mitigate accuracy-robustness tradeoff
S Suzuki, S Yamaguchi, S Takeda, S Kanai, N Makishima, A Ando, ...
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 4367-4378, 2023
112023
Knowledge transferred fine-tuning: convolutional neural network is born again with anti-aliasing even in data-limited situations
S Suzuki, S Takeda, N Makishima, A Ando, R Masumura, H Shouno
IEEE Access 10, 68384-68396, 2022
102022
Multiple pretext-task for self-supervised learning via mixing multiple image transformations
S Yamaguchi, S Kanai, T Shioda, S Takeda, J Tokyo
arXiv preprint arXiv:1912.11603, 2019
92019
Distorted image classification using neural activation pattern matching loss
S Suzuki, S Takeda, R Tanida, Y Bandoh, H Shouno
Neural Networks 167, 50-64, 2023
72023
Local Riesz pyramid for faster phase-based video magnification
S Takeda, M Isogai, S Shimizu, H Kimata
IEICE TRANSACTIONS on Information and Systems 103 (10), 2036-2046, 2020
72020
Mmw-aqa: Multimodal in-the-wild dataset for action quality assessment
T Nagai, S Takeda, S Suzuki, H Seshimo
IEEE Access 12, 92062-92072, 2024
52024
Improving Putting Accuracy with Electrical Muscle Stimulation Feedback Guided by Muscle Synergy Analysis
A Niijima, S Takeda
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems …, 2025
42025
Knowledge transferred fine-tuning for anti-aliased convolutional neural network in data-limited situation
S Suzuki, S Takeda, R Tanida, H Kimata, H Shouno
2021 IEEE International Conference on Image Processing (ICIP), 864-868, 2021
32021
Optimal transport with cyclic symmetry
S Takeda, Y Akagi, N Marumo, K Niwa
Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15211 …, 2024
22024
Coordinet: Constrained dynamics learning for state coordination over graph
K Niwa, N Ueda, H Sawada, A Fujino, S Takeda, G Zhang, WB Kleijn
IEEE Transactions on Signal and Information Processing over Networks 9, 242-257, 2023
22023
Sound source separation apparatus, sound source separation method, and program
S TAKEDA, K Niwa, S Shimizu
US Patent App. 17/799,211, 2023
12023
Differentiable Max-Directivity Beamforming Normalization for Independent Vector Analysis
S Takeda, K Niwa, S Shimizu
2020 28th European Signal Processing Conference (EUSIPCO), 296-300, 2021
12021
IPCD: Intrinsic Point-Cloud Decomposition
S Sato, T Kaneko, S Takeda, T Shimada, K Murasaki, T Yoshida, ...
arXiv preprint arXiv:2511.09866, 2025
2025
The system can't perform the operation now. Try again later.
Articles 1–20