Lakshmanan Nataraj

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 3 papers; trusts 108 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it; #20,101 of 21,575 by trust here, #9,872 by citations
• Artificial Intelligence — 15 citations into it
• Media Technology — 14 citations into it
• Biophysics — 9 citations into it
• Model Architectures — 6 citations into it

Whom Lakshmanan Nataraj trusts overall

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

1. Hany Farid
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Kaiming He
6. Jessica J. Fridrich
7. Yoshua Bengio
8. Ross B. Girshick
9. Yann LeCun
10. Ilya Sutskever

Who trusts Lakshmanan Nataraj overall

1. Francesco Marra
2. Luisa Verdoliva
3. Ekta Gandotra
4. Nikola Milosevic
5. Michael Albright
6. Utkarsh Ojha
7. Diego Gragnaniello
8. Nils Hulzebosch
9. Xu Zhang
10. Mahmoud Kalash

Papers from Lakshmanan Nataraj's perspective

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

Their papers

• Detecting GAN generated Fake Images using Co-occurrence Matrices (2019) — 368 citations
• Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries (2019) — 422 citations
• Malware images: visualization and automatic classification (2011) — 1,333 citations