Anand Koirala

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Plant Science — 17 citations into it
• Artificial Intelligence — 15 citations into it
• Analytical Chemistry — 9 citations into it

Whom Anand Koirala trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Suchet Bargoti
5. Geoffrey E. Hinton
6. Matthew D. Zeiler
7. Alex Krizhevsky
8. Andrew Zisserman
9. Joseph Redmon
10. Jia Deng

Who trusts Anand Koirala overall

1. Dhivya Elavarasan
2. Ieee P. M. DURAIRAJ VINCENT Member

Papers from Anand Koirala's perspective

Ordered by how strongly the researchers Anand Koirala 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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

• Deep learning - Method overview and review of use for fruit detection and yield estimation (2019) — 518 citations
• Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’ (2019) — 417 citations