Anuva Agarwal

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Anuva Agarwal trusts overall

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

1. Justin Johnson

Papers from Anuva Agarwal's perspective

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

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

Their papers

• Interactive Image Generation Using Scene Graphs (2019) — 59 citations