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ORCIDShoichiro Takeda
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2020 – today
- 2024
[j6]Takasuke Nagai
, Shoichiro Takeda, Satoshi Suzuki, Hitoshi Seshimo:
MMW-AQA: Multimodal In-the-Wild Dataset for Action Quality Assessment. IEEE Access 12: 92062-92072 (2024)- [c10]Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa:
Optimal Transport with Cyclic Symmetry. AAAI 2024: 15211-15221 - 2023
- [j5]Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno:
Distorted image classification using neural activation pattern matching loss. Neural Networks 167: 50-64 (2023) - [j4]Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, W. Bastiaan Kleijn:
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph. IEEE Trans. Signal Inf. Process. over Networks 9: 242-257 (2023) - [c9]Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura:
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. ICCV 2023: 4367-4378 - [i3]Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura:
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. CoRR abs/2308.16454 (2023) - [i2]Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa:
Optimal Transport with Cyclic Symmetry. CoRR abs/2311.13147 (2023) - 2022
- [j3]Satoshi Suzuki, Shoichiro Takeda, Naoki Makishima, Atsushi Ando, Ryo Masumura, Hayaru Shouno:
Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations. IEEE Access 10: 68384-68396 (2022) - [j2]Satoshi Suzuki, Shoichiro Takeda, Motohiro Takagi, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno:
Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3934-3946 (2022) - [c8]Shoichiro Takeda, Kenta Niwa, Mariko Isogawa, Shinya Shimizu, Kazuki Okami, Yushi Aono:
Bilateral Video Magnification Filter. CVPR 2022: 17348-17357 - 2021
- [c7]Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda:
Image Enhanced Rotation Prediction for Self-Supervised Learning. ICIP 2021: 489-493 - [c6]Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno:
Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation. ICIP 2021: 864-868 - [c5]Takasuke Nagai, Shoichiro Takeda, Masaaki Matsumura, Shinya Shimizu, Susumu Yamamoto:
Action Quality Assessment With Ignoring Scene Context. ICIP 2021: 1189-1193 - 2020
- [j1]Shoichiro Takeda, Megumi Isogai, Shinya Shimizu, Hideaki Kimata:
Local Riesz Pyramid for Faster Phase-Based Video Magnification. IEICE Trans. Inf. Syst. 103-D(10): 2036-2046 (2020) - [c4]Shoichiro Takeda, Kenta Niwa, Shinya Shimizu:
Differentiable Max-Directivity Beamforming Normalization for Independent Vector Analysis. EUSIPCO 2020: 296-300 - [c3]Satoshi Suzuki, Motohiro Takagi, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata:
Deep Feature Compression With Spatio-Temporal Arranging for Collaborative Intelligence. ICIP 2020: 3099-3103
2010 – 2019
- 2019
- [c2]Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata:
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution. CVPR 2019: 1614-1622 - [i1]Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda:
Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations. CoRR abs/1912.11603 (2019) - 2018
- [c1]Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata:
Jerk-Aware Video Acceleration Magnification. CVPR 2018: 1769-1777
Coauthor Index
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