Hector Bernal
Computer Vision and Pattern Recognition · 2010
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it; #13,206 of 21,575 by trust here, #12,172 by citations
- Artificial Intelligence — 10 citations into it; #23,360 of 35,345 by trust here, #18,186 by citations
- Representation & Self-Supervised Learning — 9 citations into it
Whom Hector Bernal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Christopher K. I. Williams
- Marcin Marszalek
- Antonio Torralba
- Geoffrey E. Hinton
- Rob Fergus
- Yann LeCun
- Cordelia Schmid
- Li Fei-Fei
- Yoshua Bengio
Who trusts Hector Bernal overall
Papers from Hector Bernal's perspective
Ordered by how strongly the researchers Hector Bernal trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
Their papers
- Semantic Label Sharing for Learning with Many Categories (2010) — 141 citations