Javier R. Movellan
Computer Vision and Pattern Recognition · 2002–2015
A researcher in the Science corpus: 15 papers; trusts 39 researchers and is trusted by 87 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 75 citations into it; #3,440 of 21,575 by trust here, #3,786 by citations
- Experimental and Cognitive Psychology — 36 citations into it; #1,648 of 9,731 by trust here, #751 by citations
- Artificial Intelligence — 33 citations into it
- Cognitive Neuroscience — 27 citations into it; #1,429 of 10,852 by trust here, #2,786 by citations
- Human-Computer Interaction — 14 citations into it; #1,110 of 2,253 by trust here, #503 by citations
- Optimization & Training — 11 citations into it
- Statistics and Probability — 10 citations into it
- Statistical Learning Theory — 8 citations into it
Whom Javier R. Movellan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A. Viola
- Radford M. Neal
- Takeo Kanade
- Jerome H. Friedman
- Ying-li Tian
- Jonathan Baxter
- Maja Pantic
- Michael J. Jones
- Yoav Freund
- Francis R. Bach
Who trusts Javier R. Movellan overall
- Caifeng Shan
- Yu-Chuan Su
- Fernando De la Torre
- Piotr Doll'ar
- Kristen Grauman
- Klaus Greff
- Volodymyr Mnih
- Rabia Jafri
- Ming Li
- M. Alex O. Vasilescu
Papers from Javier R. Movellan's perspective
Ordered by how strongly the researchers Javier R. Movellan 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Optimal scanning for faster object detection (2009) — 115 citations
- Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction. (2003) — 601 citations
- Dynamics of Facial Expression Extracted Automatically from Video (2004) — 501 citations
- Deep active object recognition by joint label and action prediction (2015) — 21 citations
- Toward Practical Smile Detection (2009) — 335 citations
- Face recognition by independent component analysis (2002) — 2,239 citations
- Fully Automatic Facial Action Recognition in Spontaneous Behavior (2006) — 346 citations
- Socialization between toddlers and robots at an early childhood education center (2007) — 469 citations
- The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions (2014) — 612 citations
- The computer expression recognition toolbox (CERT) (2011) — 621 citations
- Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise (2009) — 1,336 citations
- Foundations for a New Science of Learning (2009) — 724 citations
- Optimization on a Budget: A Reinforcement Learning Approach (2008) — 15 citations
- Automatic Recognition of Facial Actions in Spontaneous Expressions (2006) — 543 citations
- Recognizing facial expression: machine learning and application to spontaneous behavior (2005) — 730 citations