Appu Shaji

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 87 researchers and is trusted by 252 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #2,460 of 21,575 by trust here, #2,949 by citations

Whom Appu Shaji trusts overall

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

1. Jianbo Shi
2. Andrea Vedaldi
3. Jitendra Malik
4. Greg Mori
5. Jianguo Zhang
6. Pedro F. Felzenszwalb
7. Brian Fulkerson
8. David R. Martin
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Appu Shaji overall

1. Wenguan Wang
2. Dingwen Zhang
3. Huchuan Lu
4. Jianbing Shen
5. Chunhua Shen
6. David Stutz
7. Fayao Liu
8. Anurag Arnab
9. Laura Rieger
10. Junwei Han

Papers from Appu Shaji's perspective

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

Their papers

• SLIC Superpixels Compared to State-of-the-Art Superpixel Methods (2012) — 9,160 citations
• SLIC Superpixels ? (2010)