Naveen Kumar

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 6 citations into it

Whom Naveen Kumar trusts overall

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

1. Sebastian Ruder
2. Kaiming He
3. Sinno Jialin Pan
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Omkar M. Parkhi
7. Andrew Zisserman
8. X. Zhang
9. Alex Krizhevsky
10. Selina M. Chu

Who trusts Naveen Kumar overall

1. Eduardo Fonseca

Papers from Naveen Kumar's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection (2019) — 23 citations