E-LIB Suche - Ergebnisse für: Takeda, Shoichiro

1

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

Nagai, Takasuke ; Takeda, Shoichiro ; Suzuki, Satoshi.
IEEE Access. 12 (2024) - p. 92062-92072 , 2024

Link: https://doi.org/10.1109/..

2

Adversarial Finetuning with Latent Representation Constrain..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),

Suzuki, Satoshi ; Yamaguchi, Shin'ya ; Takeda, Shoichiro... - p. 4367-4378 , 2023

Link: https://doi.org/10.1109/..

3

CoordiNet: Constrained Dynamics Learning for State Coordina..:

Niwa, Kenta ; Ueda, Naonori ; Sawada, Hiroshi...
IEEE Transactions on Signal and Information Processing over Networks. 9 (2023) - p. 242-257 , 2023

Link: https://doi.org/10.1109/..

4

Distorted image classification using neural activation patt..:

Suzuki, Satoshi ; Takeda, Shoichiro ; Tanida, Ryuichi..
Neural Networks. 167 (2023) - p. 50-64 , 2023

Link: https://doi.org/10.1016/..

5

Bilateral Video Magnification Filter:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Takeda, Shoichiro ; Niwa, Kenta ; Isogawa, Mariko... - p. 17348-17357 , 2022

Link: https://doi.org/10.1109/..

6

Knowledge Transferred Fine-Tuning: Convolutional Neural Net..:

Suzuki, Satoshi ; Takeda, Shoichiro ; Makishima, Naoki...
IEEE Access. 10 (2022) - p. 68384-68396 , 2022

Link: https://doi.org/10.1109/..

7

Deep Feature Compression Using Spatio-Temporal Arrangement ..:

Suzuki, Satoshi ; Takeda, Shoichiro ; Takagi, Motohiro...
IEEE Transactions on Circuits and Systems for Video Technology. 32 (2022) 6 - p. 3934-3946 , 2022

Link: https://doi.org/10.1109/..

8

Differentiable Max-Directivity Beamforming Normalization fo..:

, In: 2020 28th European Signal Processing Conference (EUSIPCO),

Takeda, Shoichiro ; Niwa, Kenta ; Shimizu, Shinya - p. 296-300 , 2021

Link: https://doi.org/10.23919..

9

Deep Feature Compression With Spatio-Temporal Arranging for..:

, In: 2020 IEEE International Conference on Image Processing (ICIP),

Suzuki, Satoshi ; Takagi, Motohiro ; Takeda, Shoichiro.. - p. 3099-3103 , 2020

Link: https://doi.org/10.1109/..

10

Local Riesz Pyramid for Faster Phase-Based Video Magnificat..:

TAKEDA, Shoichiro ; ISOGAI, Megumi ; SHIMIZU, Shinya.
IEICE Transactions on Information and Systems. E103.D (2020) 10 - p. 2036-2046 , 2020

Link: https://doi.org/10.1587/..

11

Video Magnification in the Wild Using Fractional Anisotropy..:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Takeda, Shoichiro ; Akagi, Yasunori ; Okami, Kazuki.. - p. 1614-1622 , 2019

Link: https://doi.org/10.1109/..

12

Liposome‐Encapsulated Hemoglobin Alleviates Hearing Loss Af..:

Okada, Masahiro ; Kawaguchi, Akira T. ; Hakuba, Nobuhiro...
Artificial Organs. 36 (2011) 2 - p. 178-184 , 2011

Link: https://doi.org/10.1111/..

13

Local hypothermia in the treatment of idiopathic sudden sen..:

Hato, Naohito ; Hyodo, Jun ; Takeda, Shoichiro...
Auris Nasus Larynx. 37 (2010) 5 - p. 626-630 , 2010

Link: https://doi.org/10.1016/..

14

Delayed neuronal cell death in brainstem after transient br..:

Cao, Fang ; Hata, Ryuji ; Zhu, Pengxiang...
BMC Neuroscience. 11 (2010) 1 - p. , 2010

Link: https://doi.org/10.1186/..

15

Ischemic tolerance in the cochlea:

Takeda, Shoichiro ; Hata, Ryuji ; Cao, Fang...
Neuroscience Letters. 462 (2009) 3 - p. 263-266 , 2009

Link: https://doi.org/10.1016/..