Tomas F. Yago Vicente

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it

Whom Tomas F. Yago Vicente trusts overall

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

1. Kaiming He

Papers from Tomas F. Yago Vicente's perspective

Ordered by how strongly the researchers Tomas F. Yago Vicente 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: A large-scale hierarchical image database
3. Learning Multiple Layers of Features from Tiny Images
4. Microsoft COCO: Common Objects in Context
5. ImageNet classification with deep convolutional neural networks
6. Layer Normalization
7. Mask R-CNN
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• ABO: Dataset and Benchmarks for Real-World 3D Object Understanding (2021) — 412 citations