Rodrigo Santa Cruz

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 265 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #19,101 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 20 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Rodrigo Santa Cruz trusts overall

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

1. Alex Krizhevsky
2. Ross B. Girshick
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Yann LeCun
6. Nitish Srivastava
7. Ilya Sutskever
8. Kaiming He
9. Thorsten Joachims
10. Jeff Donahue

Who trusts Rodrigo Santa Cruz overall

1. Zi Jian Yew
2. Gonzalo E. Mena
3. Gim Hee Lee
4. Xu Ji
5. David Belanger

Papers from Rodrigo Santa Cruz's perspective

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

Their papers

• DeepPermNet: Visual Permutation Learning (2017) — 109 citations
• On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization (2016) — 249 citations