Marko Arsenovic

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Plant Science — 22 citations into it; #3,535 of 8,232 by trust here, #2,616 by citations
• Artificial Intelligence — 15 citations into it
• Analytical Chemistry — 12 citations into it
• Generative Models — 5 citations into it

Whom Marko Arsenovic trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Tsung-Yi Lin
4. Kaiming He
5. Tero Karras
6. Ross B. Girshick
7. Jia Deng
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Marko Arsenovic overall

1. Muhammad Hammad Saleem
2. Ümit Atila
3. Johan Potgieter
4. Andreas Kamilaris
5. Murat Uçar
6. Jun Liu
7. Ruixin Yang
8. Khalid Mahmood Arif
9. Alvaro Fuentes
10. Kemal Akyol

Papers from Marko Arsenovic's perspective

Ordered by how strongly the researchers Marko Arsenovic 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. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection (2019) — 445 citations
• Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification (2016) — 1,835 citations