Marçal Rusiñol

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #19,362 of 21,575 by trust here, #7,249 by citations
• Artificial Intelligence — 43 citations into it

Whom Marçal Rusiñol trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Karen Simonyan
7. Jia Deng
8. Yoshua Bengio
9. Andrew Zisserman
10. Yann LeCun

Who trusts Marçal Rusiñol overall

1. Mert Bulent Sariyildiz

Papers from Marçal Rusiñol's perspective

Ordered by how strongly the researchers Marçal Rusiñol 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Scene Text Visual Question Answering (2019) — 512 citations
• Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces (2017) — 130 citations