Xavier Giró-i-Nieto

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 12 papers; trusts 1,168 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 248 citations into it; #9,029 of 21,575 by trust here, #6,542 by citations
• Artificial Intelligence — 202 citations into it
• Model Architectures — 68 citations into it
• Reinforcement Learning — 46 citations into it
• Evaluation & Benchmarks — 41 citations into it
• Natural Language Processing — 35 citations into it
• Representation & Self-Supervised Learning — 31 citations into it
• Optimization & Training — 25 citations into it

Whom Xavier Giró-i-Nieto trusts overall

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

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

Who trusts Xavier Giró-i-Nieto overall

1. Wenguan Wang
2. Marcella Cornia
3. Jianbing Shen
4. Mohammad Amin Morid
5. Sean Welleck
6. Jiuxiang Gu

Papers from Xavier Giró-i-Nieto's perspective

Ordered by how strongly the researchers Xavier Giró-i-Nieto 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (2017) — 236 citations
• Recurrent Neural Networks for Semantic Instance Segmentation (2017) — 65 citations
• SalGAN: Visual Saliency Prediction with Generative Adversarial Networks (2017) — 432 citations
• Hierarchical Object Detection with Deep Reinforcement Learning (2016) — 115 citations
• Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills (2020) — 186 citations
• Shallow and Deep Convolutional Networks for Saliency Prediction (2016) — 497 citations
• Inverse Cooking: Recipe Generation From Food Images (2018) — 170 citations
• Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation (2019) — 96 citations
• Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data (2021) — 383 citations
• How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language (2020) — 353 citations
• Skin lesion classification from dermoscopic images using deep learning techniques (2017) — 354 citations
• End-to-end Convolutional Network for Saliency Prediction (2015) — 27 citations