Kaushal B. Yagnik

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 9 citations into it

Whom Kaushal B. Yagnik trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Evan Shelhamer
4. Yoshua Bengio
5. David G. Lowe
6. Gil Levi
7. Ilya Sutskever
8. Kaiming He
9. Karen Simonyan
10. Yann LeCun

Who trusts Kaushal B. Yagnik overall

1. Chaoyun Zhang
2. M. Mohammadi

Papers from Kaushal B. Yagnik's perspective

Ordered by how strongly the researchers Kaushal B. Yagnik 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Histograms of oriented gradients for human detection
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• SpotGarbage: smartphone app to detect garbage using deep learning (2016) — 214 citations