Tatsumi Uezato

20 papers C 3Journal 11Unranked 6

Year	Rank	Type	Title / 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