Lluís Gómez

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 783 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 133 citations into it; #9,259 of 21,575 by trust here, #8,122 by citations
• Artificial Intelligence — 67 citations into it; #15,253 of 35,345 by trust here, #10,065 by citations
• Natural Language Processing — 43 citations into it
• Multimodal Learning — 26 citations into it
• Evaluation & Benchmarks — 20 citations into it
• Media Technology — 20 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Model Architectures — 7 citations into it

Whom Lluís Gómez trusts overall

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

1. Lukás Neumann
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Ross B. Girshick
6. Andrew Zisserman
7. Karen Simonyan
8. Yoshua Bengio
9. Diederik P. Kingma
10. Pedro F. Felzenszwalb

Who trusts Lluís Gómez overall

1. Minghui Liao
2. Xiang Bai
3. M. Busta
4. Pengyuan Lyu
5. Baoguang Shi
6. Lukás Neumann
7. Mingkun Yang
8. Zhen Zhu
9. Canjie Luo
10. Jiri Matas

Papers from Lluís Gómez's perspective

Ordered by how strongly the researchers Lluís Gómez 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 classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
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

• Scene Text Visual Question Answering (2019) — 512 citations
• TextProposals: A text-specific selective search algorithm for word spotting in the wild (2016) — 113 citations
• Exploring Hate Speech Detection in Multimodal Publications (2019) — 308 citations
• Self-Supervised Learning from Web Data for Multimodal Retrieval (2019) — 27 citations