Kamal Kumar Ghanshala

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #17,391 of 21,575 by trust here, #21,103 by citations

Whom Kamal Kumar Ghanshala trusts overall

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

1. Alex Krizhevsky
2. Caifeng Shan
3. Geoffrey E. Hinton
4. Chenglin Liu
5. Ilya Sutskever

Who trusts Kamal Kumar Ghanshala overall

1. Haftay Gebreslasie Abreha

Papers from Kamal Kumar Ghanshala's perspective

Ordered by how strongly the researchers Kamal Kumar Ghanshala 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Convolutional Neural Network (CNN) for Image Detection and Recognition (2018) — 500 citations