Tajuddin Manhar Mohammed

Computer Vision and Pattern Recognition · 2019

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

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #20,835 of 21,575 by trust here, #14,478 by citations

Whom Tajuddin Manhar Mohammed trusts overall

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

1. Hany Farid
2. Jessica J. Fridrich
3. Davide Cozzolino
4. Gajanan K. Birajdar
5. Francesco Marra
6. Tomás Pevný

Who trusts Tajuddin Manhar Mohammed overall

1. Francesco Marra
2. Michael Albright
3. Luisa Verdoliva
4. Utkarsh Ojha
5. Diego Gragnaniello
6. Nils Hulzebosch
7. Xu Zhang

Papers from Tajuddin Manhar Mohammed's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
7. Going deeper with convolutions
8. Improved Techniques for Training GANs
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Detecting GAN generated Fake Images using Co-occurrence Matrices (2019) — 368 citations