Ravi Mukkamala

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Ravi Mukkamala trusts overall

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

1. David G. Lowe
2. Yann LeCun
3. Andrea Vedaldi

Papers from Ravi Mukkamala's perspective

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

1. Gradient-based learning applied to document recognition
2. Distinctive Image Features from Scale-Invariant Keypoints
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Visualizing and Understanding Convolutional Networks
6. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
7. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
8. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Deep convolutional neural networks for annotating gene expression patterns in the mouse brain (2015) — 63 citations