G. Kumar

Computer Vision and Pattern Recognition · with Alqahtani · 2019

A researcher in the Science corpus: 1 paper; trusts 515 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it; #17,146 of 21,575 by trust here, #19,310 by citations
• Generative Models — 66 citations into it
• Artificial Intelligence — 24 citations into it
• Signal Processing — 11 citations into it
• Media Technology — 6 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom G. Kumar trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yoshua Bengio
5. Kaiming He
6. Yann LeCun
7. Ilya Sutskever
8. Karen Simonyan
9. Ross B. Girshick
10. Sepp Hochreiter

Who trusts G. Kumar overall

1. S. Mirjalili
2. Nour Eldeen M. Khalifa
3. Mohamed Loey

Papers from G. Kumar's perspective

Ordered by how strongly the researchers G. Kumar 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Applications of Generative Adversarial Networks (GANs): An Updated Review (2019) — 343 citations