Tom Tirer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Generative Models — 17 citations into it
• Computational Mechanics — 9 citations into it
• Media Technology — 7 citations into it

Whom Tom Tirer trusts overall

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

1. Diederik P. Kingma
2. Gitta Kutyniok
3. E.J. Candes
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Jia-Bin Huang
7. David Berthelot
8. Ashish Bora
9. Alex Krizhevsky
10. Kaiming He

Who trusts Tom Tirer overall

1. Hyungjin Chung
2. Weihao Xia
3. Xingang Pan

Papers from Tom Tirer's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Image-Adaptive GAN based Reconstruction (2019) — 104 citations