Dimitrios Marmanis

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 3 papers; trusts 227 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it; #10,855 of 21,575 by trust here, #5,987 by citations
• Artificial Intelligence — 21 citations into it; #22,336 of 35,345 by trust here, #9,968 by citations
• Media Technology — 16 citations into it; #2,118 of 3,621 by trust here, #956 by citations
• Model Architectures — 8 citations into it
• Ocean Engineering — 8 citations into it
• Environmental Engineering — 7 citations into it

Whom Dimitrios Marmanis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Karen Simonyan
5. Yoshua Bengio
6. Kaiming He
7. Ilya Sutskever
8. Liang-Chieh Chen
9. Diederik P. Kingma
10. Ross B. Girshick

Who trusts Dimitrios Marmanis overall

1. Chaopeng Shen
2. Jamie Sherrah
3. Xiaohui Yuan
4. Joel Janai
5. Nicolas Audebert
6. Liangpei Zhang
7. Jian Kang
8. Huili Huang
9. Ava Vali
10. Charlotte Pelletier

Papers from Dimitrios Marmanis's perspective

Ordered by how strongly the researchers Dimitrios Marmanis trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection (2016) — 665 citations
• SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS (2016) — 334 citations
• Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks (2016) — 581 citations