Hafiz Malik

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 193 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 101 citations into it
• Artificial Intelligence — 51 citations into it
• Signal Processing — 44 citations into it
• Generative Models — 42 citations into it

Whom Hafiz Malik trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Richard S. Sutton
7. Yann LeCun
8. Ilya Sutskever
9. Andrew Zisserman
10. Aäron van den Oord

Papers from Hafiz Malik's perspective

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

Their papers

• Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward (2021) — 491 citations