Aleix M. Martinez
Computer Vision and Pattern Recognition · 2006–2019
A researcher in the Science corpus: 6 papers; trusts 287 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it; #4,531 of 21,575 by trust here, #6,873 by citations
- Cognitive Neuroscience — 46 citations into it; #1,828 of 10,852 by trust here, #3,321 by citations
- Social Psychology — 38 citations into it; #4,415 of 15,694 by trust here, #6,505 by citations
- Experimental and Cognitive Psychology — 37 citations into it; #2,483 of 9,731 by trust here, #3,670 by citations
- Generative Models — 21 citations into it
- Artificial Intelligence — 10 citations into it; #11,369 of 35,345 by trust here, #28,481 by citations
- Evaluation & Benchmarks — 9 citations into it
- 3D Vision & Pose — 6 citations into it
Whom Aleix M. Martinez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- R. Fisher
- Marco Loog
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Bastian Leibe
- Paul Ekman
Who trusts Aleix M. Martinez overall
- Shan Li
- Carlos Fabian Benitez-Quiroz
- ByoungChul Ko
- Ruiping Wang
- Carlos Eduardo Thomaz
- Weihong Deng
- Ali Mollahosseini
- Mehrtash Harandi
- Shaeela Ayesha
- Jian Zhao
Papers from Aleix M. Martinez's perspective
Ordered by how strongly the researchers Aleix M. Martinez 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
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- GANimation: Anatomically-aware Facial Animation from a Single Image (2018) — 644 citations
- EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016) — 577 citations
- A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image (2016) — 55 citations
- Subclass discriminant analysis (2006) — 383 citations
- Compound facial expressions of emotion (2014) — 803 citations
- Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements (2019) — 1,413 citations