Jordi Gonzàlez
Computer Vision and Pattern Recognition · 2010–2018
A researcher in the Science corpus: 6 papers; trusts 594 researchers and is trusted by 319 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 134 citations into it; #2,260 of 21,575 by trust here, #4,344 by citations
- Artificial Intelligence — 43 citations into it; #20,448 of 35,345 by trust here, #14,181 by citations
- Evaluation & Benchmarks — 16 citations into it; #2,548 of 3,147 by trust here, #2,275 by citations
- Aerospace Engineering — 10 citations into it; #3,024 of 6,421 by trust here, #3,072 by citations
- Representation & Self-Supervised Learning — 10 citations into it
- Media Technology — 8 citations into it; #1,913 of 3,621 by trust here, #980 by citations
Whom Jordi Gonzàlez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pedro F. Felzenszwalb
- Alex Krizhevsky
- David G. Lowe
- Geoffrey E. Hinton
- Ross B. Girshick
- Kaiming He
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
Who trusts Jordi Gonzàlez overall
- Sergio Escalera
- Hongsong Wang
- Wanli Ouyang
- Liang Wang
- P. PramodKumar
- Sébastien Razakarivony
- Yong Du
- Basura Fernando
- Jun Liu
- Lionel Pigou
Papers from Jordi Gonzàlez's perspective
Ordered by how strongly the researchers Jordi Gonzàlez trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Harmony potentials for joint classification and segmentation (2010) — 185 citations
- A coarse-to-fine approach for fast deformable object detection (2011) — 214 citations
- Harmony Potentials (2011) — 96 citations
- Multi-modal gesture recognition challenge 2013: dataset and results (2013) — 206 citations
- ChaLearn Looking at People Challenge 2014: Dataset and Results (2014) — 239 citations
- Beyond One-hot Encoding: lower dimensional target embedding (2018) — 441 citations