João Gomes

Computer Vision and Pattern Recognition · with Behbahani · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 19 citations into it

Whom João Gomes trusts overall

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

1. Kaiming He
2. Ross B. Girshick

Papers from João Gomes's perspective

Ordered by how strongly the researchers João Gomes 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. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• Learning From Demonstration in the Wild (2018) — 77 citations