Ajay Uppili Arasanipalai

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 190 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 23 citations into it
• Model Architectures — 14 citations into it

Whom Ajay Uppili Arasanipalai trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Piotr Doll'ar
8. Karen Simonyan
9. Jia Deng
10. Andrew Zisserman

Papers from Ajay Uppili Arasanipalai's perspective

Ordered by how strongly the researchers Ajay Uppili Arasanipalai 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. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Rotate to Attend: Convolutional Triplet Attention Module (2020) — 989 citations