Tomasz Bednarz

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Generative Models — 22 citations into it
• Artificial Intelligence — 8 citations into it

Whom Tomasz Bednarz trusts overall

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

1. Jun-Yan Zhu
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Yann LeCun
9. Ilya Sutskever
10. Phillip Isola

Papers from Tomasz Bednarz's perspective

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

Their papers

• Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends (2021) — 143 citations