Basant Kumar

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it

Whom Basant Kumar trusts

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

1. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Basant Kumar's perspective

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

Their papers

• Review on remote sensing methods for landslide detection using machine and deep learning (2020) — 295 citations