Kumar Chellapilla

Computer Vision and Pattern Recognition · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #3,796 of 21,575 by trust here, #7,340 by citations

Whom Kumar Chellapilla trusts overall

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

1. Yann LeCun
2. Patrice Y. Simard
3. L. Eon Bottou
4. Bernhard Schölkopf
5. Yoshua Bengio
6. John Shawe-Taylor
7. John C. Platt
8. G. Kimeldorf
9. Corinna Cortes
10. Geoffrey E. Hinton

Who trusts Kumar Chellapilla overall

1. J. Urgen Schmidhuber
2. Sara Hooker
3. Yann LeCun
4. Tal Ben-Nun
5. Elie Bursztein
6. Yoshua Bengio
7. Sajid Anwar
8. Dan Claudiu Ciresan
9. Yu-Xiong Wang
10. Luc Van Gool

Papers from Kumar Chellapilla's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• High Performance Convolutional Neural Networks for Document Processing (2006) — 706 citations
• Personalized handwriting recognition via biased regularization (2006) — 71 citations
• Using Machine Learning to Break Visual Human Interaction Proofs (HIPs) (2004) — 303 citations