Shoichiro Takeda

According to our database, Shoichiro Takeda authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MMW-AQA: Multimodal In-the-Wild Dataset for Action Quality Assessment.

Takasuke Nagai, Shoichiro Takeda, Satoshi Suzuki, Hitoshi Seshimo

IEEE Access, 2024

Optimal Transport with Cyclic Symmetry.

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Distorted image classification using neural activation pattern matching loss.

Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno

Neural Networks, October, 2023

CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph.

Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, W. Bastiaan Kleijn

IEEE Trans. Signal Inf. Process. over Networks, 2023

Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff.

Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World.

Satoshi Suzuki, Shoichiro Takeda, Motohiro Takagi, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno

IEEE Trans. Circuits Syst. Video Technol., 2022

Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations.

Satoshi Suzuki, Shoichiro Takeda, Naoki Makishima, Atsushi Ando, Ryo Masumura, Hayaru Shouno

IEEE Access, 2022

Bilateral Video Magnification Filter.

Shoichiro Takeda, Kenta Niwa, Mariko Isogawa, Shinya Shimizu, Kazuki Okami, Yushi Aono

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Image Enhanced Rotation Prediction for Self-Supervised Learning.

Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation.

Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Action Quality Assessment With Ignoring Scene Context.

Takasuke Nagai, Shoichiro Takeda, Masaaki Matsumura, Shinya Shimizu, Susumu Yamamoto

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Local Riesz Pyramid for Faster Phase-Based Video Magnification.

Shoichiro Takeda, Megumi Isogai, Shinya Shimizu, Hideaki Kimata

IEICE Trans. Inf. Syst., 2020

Deep Feature Compression With Spatio-Temporal Arranging for Collaborative Intelligence.

Satoshi Suzuki, Motohiro Takagi, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata

Proceedings of the IEEE International Conference on Image Processing, 2020

Differentiable Max-Directivity Beamforming Normalization for Independent Vector Analysis.

Shoichiro Takeda, Kenta Niwa, Shinya Shimizu

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations.

Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda

CoRR, 2019

Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution.

Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Jerk-Aware Video Acceleration Magnification.

Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018