Jiro Katto

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Efficiency & Compression — 8 citations into it
• Signal Processing — 6 citations into it

Whom Jiro Katto trusts overall

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

1. Diederik P. Kingma
2. David C. Minnen
3. Jia Deng
4. Johannes Ballé
5. Jimmy Ba
6. Gisle Bjøntegaard
7. Gregory K. Wallace
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Kaiming He

Papers from Jiro Katto's perspective

Ordered by how strongly the researchers Jiro Katto 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. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules (2020) — 1,286 citations
• Learned Image Compression with Mixed Transformer-CNN Architectures (2023) — 467 citations