Pablo Martinez-Gonzalez

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 609 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 270 citations into it
• Artificial Intelligence — 109 citations into it
• Generative Models — 49 citations into it
• Model Architectures — 27 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Pablo Martinez-Gonzalez trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. Karen Simonyan
8. Ross B. Girshick
9. Ilya Sutskever
10. Radford M. Neal

Papers from Pablo Martinez-Gonzalez's perspective

Ordered by how strongly the researchers Pablo Martinez-Gonzalez 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The RobotriX: An Extremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions (2018) — 37 citations
• A survey on deep learning techniques for image and video semantic segmentation (2018) — 1,148 citations
• A Review on Deep Learning Techniques for Video Prediction (2020) — 319 citations