Naoto Yokoya
Media Technology · IEEE Geoscience and Remote Sensing Magazine · 2012–2023
A researcher in the Science corpus: 11 papers; trusts 330 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 209 citations into it; #583 of 3,621 by trust here, #398 by citations
- Computer Vision and Pattern Recognition — 174 citations into it; #16,176 of 21,575 by trust here, #10,334 by citations
- Artificial Intelligence — 77 citations into it; #23,095 of 35,345 by trust here, #20,836 by citations
- Ecology — 49 citations into it
- Atmospheric Science — 46 citations into it; #671 of 4,804 by trust here, #1,475 by citations
- Analytical Chemistry — 37 citations into it
- Computational Mechanics — 25 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
Whom Naoto Yokoya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- José M. Bioucas-Dias
- Jose M. P. Nascimento
- Bruno Aiazzi
- Daniel D. Lee
- Kaiming He
- Vladimir Naumovich Vapni
- Chih-Jen Lin
- Luciano Alparone
- Geoffrey E. Hinton
- Lorenzo Bruzzone
Who trusts Naoto Yokoya overall
- Renwei Dian
- Shutao Li
- Danfeng Hong
- Leyuan Fang
- Pedram Ghamisi
- José M. Bioucas-Dias
- Qi Wei
- Charis Lanaras
- Dana Lahat
- Naveed Akhtar
Papers from Naoto Yokoya's perspective
Ordered by how strongly the researchers Naoto Yokoya trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- SpectralGPT: Spectral Remote Sensing Foundation Model (2023) — 837 citations
- OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping (2022) — 155 citations
- More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification (2020) — 1,193 citations
- Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges (2019) — 301 citations
- Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019) — 393 citations
- Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest (2019) — 308 citations
- An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing (2018) — 828 citations
- Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art (2017) — 773 citations
- Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature (2017) — 601 citations
- Hyperspectral Pansharpening: A Review (2015) — 778 citations
- Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion (2012) — 1,069 citations