Prashanth Reddy Marpu
Computer Vision and Pattern Recognition · 2012–2017
A researcher in the Science corpus: 3 papers; trusts 159 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it; #18,044 of 21,575 by trust here, #13,542 by citations
- Media Technology — 28 citations into it; #1,670 of 3,621 by trust here, #1,079 by citations
- Artificial Intelligence — 19 citations into it
- Atmospheric Science — 14 citations into it; #2,041 of 4,804 by trust here, #1,835 by citations
- Analytical Chemistry — 13 citations into it
Whom Prashanth Reddy Marpu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jon Atli Benediktsson
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Christopher K. I. Williams
- Kaiming He
- Martino Pesaresi
- Pedro F. Felzenszwalb
- Bolei Zhou
- Yann LeCun
Who trusts Prashanth Reddy Marpu overall
- Pedram Ghamisi
- Leyuan Fang
- Shutao Li
- Xudong Kang
- Jon Atli Benediktsson
- Guangrui Zhao
- Yushi Chen
- Rob Heylen
- Xiaohui Yuan
- José M. Bioucas-Dias
Papers from Prashanth Reddy Marpu's perspective
Ordered by how strongly the researchers Prashanth Reddy Marpu 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks (2017) — 383 citations
- Generalized Composite Kernel Framework for Hyperspectral Image Classification (2013) — 474 citations
- Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles (2012) — 362 citations