Elnar Hajiyev
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Elnar Hajiyev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Elnar Hajiyev's perspective
Ordered by how strongly the researchers Elnar Hajiyev 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
- Long Short-Term Memory
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Analysing Affective Behavior in the First ABAW 2020 Competition (2020) — 332 citations