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Conference and Workshop Papers
- 2023
[c11]Tsenjung Tai, Masato Toda, Kenta Senzaki, Eiji Kaneko:
Leveraging Physics-Guided Features for Domain Adaptation in SAR Target Classification. IGARSS 2023: 6001-6004- 2021
- [c10]Eiji Kaneko, Takahiro Toizumi, Kazutoshi Sagi, Masato Toda:
Inter-Orbit Change Detection for High-Resolution SAR Imagery Using Conditional Siamese Network. IGARSS 2021: 2903-2906 - 2020
- [c9]Shreya Sharma, Eiji Kaneko, Masato Toda:
Small Object Change Detection Based on Multitask Siamese Network. IGARSS 2020: 300-303 - [c8]Sugino Nicolas Alejandro, Tsubasa Minematsu, Atsushi Shimada, Takashi Shibata
, Rin-Ichiro Taniguchi, Eiji Kaneko, Hiroyoshi Miyano:
Semi-automatic Learning Framework Combining Object Detection and Background Subtraction. VISIGRAPP (5: VISAPP) 2020: 96-106 - 2019
- [c7]Takahiro Toizumi, Simone Zini, Kazutoshi Sagi, Eiji Kaneko, Masato Tsukada, Raimondo Schettini:
Artifact-Free Thin Cloud Removal Using Gans. ICIP 2019: 3596-3600 - 2018
- [c6]Madhuri Nagare, Eiji Kaneko, Masato Toda, Hirofumi Aoki, Masato Tsukada:
Cloud Shadow Removal Based on Cloud Transmittance Estimation. IGARSS 2018: 4031-4034 - 2017
- [c5]Eiji Kaneko, Nobuyuki Umezu:
Rapid construction of coarse indoor map for mobile robots. GCCE 2017: 1-3 - [c4]Madhuri Nagare, Hirofumi Aoki, Eiji Kaneko:
A unified method of cloud detection and removal robust to spectral variability. IGARSS 2017: 5418-5421 - 2016
- [c3]Eiji Kaneko, Hirofumi Aoki, Masato Tsukada:
Image-based path radiance estimation guided by physical model. IGARSS 2016: 6942-6945 - 2015
- [c2]Eiji Kaneko, Hirofumi Aoki, Masato Tsukada:
Daylight Spectrum Estimation from Hyper-and Multispectral Image without Area Extraction of Uniform Materials. SITIS 2015: 53-60 - 2012
- [c1]Eiji Kaneko, Masato Toda, Hirofumi Aoki, Masato Tsukada:
Daylight spectrum model under weather conditions from clear sky to cloudy. ICPR 2012: 1438-1435
Informal and Other Publications
- 2020
- [i1]Azusa Sawada, Eiji Kaneko, Kazutoshi Sagi:
Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning. CoRR abs/2007.15359 (2020)
Coauthor Index
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