Meghana Thotakuri

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 6 citations into it

Whom Meghana Thotakuri trusts overall

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

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

Papers from Meghana Thotakuri's perspective

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

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

Their papers

• The AVA-Kinetics Localized Human Actions Video Dataset (2020) — 157 citations