Cristiano Premebida
Computer Vision and Pattern Recognition · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 37 citations into it; #10,131 of 21,575 by trust here, #10,677 by citations
- Aerospace Engineering — 10 citations into it
Whom Cristiano Premebida trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Geiger
- Ross B. Girshick
- Alex Krizhevsky
- Piotr Doll'ar
- Derek Hoiem
- Geoffrey E. Hinton
- Kaiming He
- Yann LeCun
- Philip Lenz
- Pedro F. Felzenszwalb
Who trusts Cristiano Premebida overall
- Alejandro González
- Yin Zhou
- Rodrigo Benenson
- Zetong Yang
- Andreas Pfeuffer
- Shanshan Zhang
- Joel Janai
- Luca Caltagirone
- Gregory P. Meyer
- Martin Engelcke
Papers from Cristiano Premebida's perspective
Ordered by how strongly the researchers Cristiano Premebida 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Pedestrian detection combining RGB and dense LIDAR data (2014) — 201 citations
- DepthCN: Vehicle detection using 3D-LIDAR and ConvNet (2017) — 69 citations