Kartik Thakral

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Kartik Thakral trusts overall

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

1. Kaiming He
2. Gao Huang
3. Nicholas E. Ross

Who trusts Kartik Thakral overall

1. Mohamed Loey

Papers from Kartik Thakral's perspective

Ordered by how strongly the researchers Kartik Thakral 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. Densely Connected Convolutional Networks
4. Gradient-based learning applied to document recognition
5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pneumonia Detection Using CNN based Feature Extraction (2019) — 337 citations