Ishika Naik

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it

Whom Ishika Naik trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Matthew D. Zeiler
8. Yann LeCun
9. Andrew Zisserman

Papers from Ishika Naik's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Comparative analysis of deep learning image detection algorithms (2020) — 310 citations