Alex Falcon

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 16 citations into it
• Question Answering & Reading Comprehension — 11 citations into it
• Multimodal Learning — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Alex Falcon trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Chenyou Fan
7. Ilya Sutskever
8. Yoshua Bengio
9. Andrew Zisserman
10. Yann LeCun

Papers from Alex Falcon's perspective

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

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

Their papers

• Data augmentation techniques for the Video Question Answering task (2020) — 7 citations