Brandon Trabucco

Computer Vision and Pattern Recognition · with Doherty · 2023

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 21 citations into it
• Artificial Intelligence — 18 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Brandon Trabucco trusts overall

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

1. Prafulla Dhariwal
2. Geoffrey E. Hinton
3. Jia Deng
4. Diederik P. Kingma
5. Alex Nichol
6. Alex Krizhevsky
7. Jonathan Ho
8. Andrew Zisserman
9. Kaiming He
10. Yoshua Bengio

Papers from Brandon Trabucco's perspective

Ordered by how strongly the researchers Brandon Trabucco 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Effective Data Augmentation With Diffusion Models (2023) — 415 citations