Mishima, Nao
20  Ergebnisse:
Personensuche X
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1

Self-Supervised Learning for Context-Independent DfD Networ..:

, In: 2023 IEEE International Conference on Image Processing (ICIP),
Mishima, Nao ; Seki, Akihito ; Hiura, Shinsaku - p. 835-839 , 2023
 
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2

Focusing on Targets for Improving Weakly Supervised Visual ..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Pham, Viet-Quoc ; Mishima, Nao - p. 1-5 , 2023
 
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3

Improving Visual Question Answering by Semantic Segmentatio:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2021,
 
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4

Deep Depth From Aberration Map:

, In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),
Kashiwagi, Masako ; Mishima, Nao ; Kozakaya, Tatsuo. - p. 4069-4078 , 2019
 
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5

23‐4: Invited Paper: Depth from Asymmetric Defocus using Co..:

Moriuchi, Yusuke ; Sasaki, Takayuki ; Mishima, Nao.
SID Symposium Digest of Technical Papers.  48 (2017)  1 - p. 325-328 , 2017
 
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6

Image Denoising with Sparsity Distillation:

Kawata, Satoshi ; Mishima, Nao
IPSJ Transactions on Computer Vision and Applications.  7 (2015)  0 - p. 50-54 , 2015
 
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12

One-month-old boy with group B streptococcal meningitis, su..:

Terada, Akari ; Ohnishi, Takuma ; Mishima, Yoshinori...
Journal of Infection and Chemotherapy.  26 (2020)  10 - p. 1090-1094 , 2020
 
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13

A phase II trial to evaluate the efficacy of panitumumab co..:

Munemoto, Yoshinori ; Kanda, Mitsuro ; Oba, Koji...
Cancer Chemotherapy and Pharmacology.  81 (2018)  5 - p. 829-838 , 2018
 
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