R. Nemani
Computer Vision and Pattern Recognition · 2003–2019
A researcher in the Science corpus: 14 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Artificial Intelligence — 16 citations into it
- Media Technology — 16 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Model Architectures — 9 citations into it
Whom R. Nemani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Honglak Lee
- Diederik P. Kingma
- Pascal Vincent
- Kaiming He
- Ilya Sutskever
- Marc'Aurelio Ranzato
Who trusts R. Nemani overall
Papers from R. Nemani's perspective
Ordered by how strongly the researchers R. Nemani trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- China and India lead in greening of the world through land-use management (2019) — 2,471 citations
- DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution (2017) — 373 citations
- Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data (2016) — 328 citations
- DeepSat: a learning framework for satellite imagery (2015) — 377 citations
- Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets (2015) — 83 citations
- Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011 (2013) — 902 citations
- Temperature and vegetation seasonality diminishment over northern lands (2013) — 612 citations
- The Nightsat mission concept (2007) — 308 citations
- MODIS leaf area index products: from validation to algorithm improvement (2006) — 364 citations
- Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations (2006) — 701 citations
- Mapping and Modeling the Biogeochemical Cycling of Turf Grasses in the United States (2005) — 702 citations
- A generalized, bioclimatic index to predict foliar phenology in response to climate (2004) — 461 citations
- A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production (2004) — 2,307 citations
- Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 (2003) — 3,606 citations