Foivos I. Diakogiannis
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it; #20,812 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 24 citations into it
- Media Technology — 12 citations into it; #3,475 of 3,621 by trust here, #2,280 by citations
- Model Architectures — 9 citations into it
- Ocean Engineering — 8 citations into it
- Optimization & Training — 7 citations into it
- Environmental Engineering — 6 citations into it
Whom Foivos I. Diakogiannis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Karen Simonyan
- Liang-Chieh Chen
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
- X. Zhang
Who trusts Foivos I. Diakogiannis overall
- Shunyi Zheng
- Valerio Marsocci
- Xianping Ma
- Sijie Zhao
- Libo Wang
- Chenxi Duan
- Danfeng Hong
- Simone Scardapane
- Jianlin Su
- Xiaokang Zhang
Papers from Foivos I. Diakogiannis's perspective
Ordered by how strongly the researchers Foivos I. Diakogiannis 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data (2019) — 1,958 citations