Trikay Nalamada

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 Trikay Nalamada 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. Shaoqing Ren
6. Geoffrey E. Hinton
7. Piotr Doll'ar
8. Karen Simonyan
9. Jia Deng
10. Andrew Zisserman

Who trusts Trikay Nalamada overall

1. Qibin Hou
2. Yichao Liu

Papers from Trikay Nalamada's perspective

Ordered by how strongly the researchers Trikay Nalamada 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. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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