David P. Hughes
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #5,480 of 21,575 by trust here, #4,212 by citations
- Artificial Intelligence — 19 citations into it
- Model Architectures — 8 citations into it
- Plant Science — 7 citations into it; #181 of 8,232 by trust here, #1,142 by citations
Whom David P. Hughes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Yann LeCun
- Geoffrey E. Hinton
- Alex Krizhevsky
- Navneet Dalal
- Christian Szegedy
- Kaiming He
- Yoshua Bengio
- Karen Simonyan
- Erich-Christian Oerke
Who trusts David P. Hughes overall
- Halil Durmus
- Justine Boulent
- Abhinav Sharma
- Ümit Atila
- Andre da Silva Abade
- J. G. Arnal Barbedo
- M. Sardoğan
- Sharada Prasanna Mohanty
- Attaullah Sahito
- Alvaro Fuentes
Papers from David P. Hughes's perspective
Ordered by how strongly the researchers David P. Hughes 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
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Using Deep Learning for Image-Based Plant Disease Detection (2016) — 4,343 citations
- Deep Learning for Image-Based Cassava Disease Detection (2017) — 698 citations
- Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images (2017) — 436 citations
- An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing (2015) — 1,436 citations