Raul Gomez

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 36 citations into it
• Natural Language Processing — 21 citations into it
• Multimodal Learning — 12 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Raul Gomez trusts overall

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

1. Tomas Mikolov
2. Christian Szegedy
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Jia Deng
8. Andrej Karpathy
9. Richard Socher
10. Ross B. Girshick

Who trusts Raul Gomez overall

1. Bertie Vidgen
2. Patrick Schramowski

Papers from Raul Gomez's perspective

Ordered by how strongly the researchers Raul Gomez 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
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

• Exploring Hate Speech Detection in Multimodal Publications (2019) — 308 citations
• Self-Supervised Learning from Web Data for Multimodal Retrieval (2019) — 27 citations