Jesús Bescós

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 213 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 92 citations into it
• Artificial Intelligence — 25 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Media Technology — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Jesús Bescós trusts overall

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

1. Kaiming He
2. Bolei Zhou
3. Antonio Torralba
4. Alex Krizhevsky
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Karen Simonyan
8. Aude Oliva
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Jesús Bescós's perspective

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

Their papers

• The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations
• Semantic-Aware Scene Recognition (2019) — 131 citations