Tatsumi Uezato

20 papers C 3Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 C conf
Data-augmentation Technique Using Helpful AI-generated Images for Training.
ICMLA
Daichi Murata, Tatsumi Uezato, Yusuke Matsuda, Keisuke Inata, Satoshi Kujiraoka, Morio Matsumoto
2023 J jnl
Interpretable Deep Attention Prior for Image Restoration and Enhancement.
IEEE Trans. Computational Imaging
Wei He, Tatsumi Uezato, Naoto Yokoya
2022 J jnl
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution.
CoRR
Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato
2022 — conf
Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution.
ECCV (19)
Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato
2022 — conf
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration.
ECCV (19)
Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang
2020 — conf
Guided Deep Decoder: Unsupervised Image Pair Fusion.
ECCV (6)
Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He
2020 J jnl
Guided Deep Decoder: Unsupervised Image Pair Fusion.
CoRR
Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He
2020 J jnl
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability.
Remote. Sens.
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
2020 J jnl
Illumination Invariant Hyperspectral Image Unmixing Based on a Digital Surface Model.
IEEE Trans. Image Process.
Tatsumi Uezato, Naoto Yokoya, Wei He
2020 J jnl
Illumination invariant hyperspectral image unmixing based on a digital surface model.
CoRR
Tatsumi Uezato, Naoto Yokoya, Wei He
2019 J jnl
Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity.
IEEE Trans. Geosci. Remote. Sens.
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
2019 — conf
LiDAR-Guided Reduction Of Spectral Variability in Hyperspectral Imagery.
WHISPERS
Sevcan Kahraman, Raphael Bacher, Tatsumi Uezato, Jocelyn Chanussot, Ali Tangel
2018 — conf
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing.
WHISPERS
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
2018 J jnl
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization.
IEEE Trans. Geosci. Remote. Sens.
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
2018 C conf
Lidar-Driven Spatial Regularization for Hyperspectral Unmixing.
IGARSS
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
2016 J jnl
A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes.
IEEE Trans. Geosci. Remote. Sens.
Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan
2016 J jnl
A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes.
IEEE Trans. Geosci. Remote. Sens.
Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan
2016 J jnl
Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates.
IEEE Trans. Image Process.
Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan
2015 — conf
Spectral curve-based endmember extraction method.
WHISPERS
Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan
2014 C conf
Multiple endmember spectral unmixing within a multi-task framework.
IGARSS
Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, Sven Schneider