Ryan Razani

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it

Whom Ryan Razani trusts overall

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

1. Bichen Wu
2. Maxim Berman
3. Charles Ruizhongtai Qi
4. Joseph Redmon
5. Kaiming He
6. Geoffrey E. Hinton
7. Andreas Geiger
8. Alex Krizhevsky
9. Andres Milioto
10. Ross B. Girshick

Papers from Ryan Razani's perspective

Ordered by how strongly the researchers Ryan Razani 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. 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. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network (2021) — 310 citations