Enric Corona
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #18,641 of 21,575 by trust here, #6,485 by citations
- Control and Systems Engineering — 24 citations into it
- Computer Graphics and Computer-Aided Design — 16 citations into it; #1,346 of 1,584 by trust here, #398 by citations
- Generative Models — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Enric Corona trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Martín Arjovsky
- Kaiming He
- Yoshua Bengio
- Andrew T. Miller
- Andrew Zisserman
- Yann LeCun
- Jimmy Ba
Who trusts Enric Corona overall
- Omid Taheri
- Hanwen Jiang
- Zhe Cao
- Mohit Goyal
- Keunhong Park
- Ziyi Yang
- Shaowei Liu
- Yilun Du
- Jiemin Fang
- Chen Gao
Papers from Enric Corona's perspective
Ordered by how strongly the researchers Enric Corona trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- D-NeRF: Neural Radiance Fields for Dynamic Scenes (2020) — 2,021 citations
- GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes (2020) — 216 citations