Gwen Littlewort
Computer Vision and Pattern Recognition · 1993–2011
A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it; #8,470 of 21,575 by trust here, #5,013 by citations
- Experimental and Cognitive Psychology — 25 citations into it; #1,596 of 9,731 by trust here, #796 by citations
- Cognitive Neuroscience — 14 citations into it; #5,688 of 10,852 by trust here, #5,043 by citations
- Human-Computer Interaction — 10 citations into it; #1,109 of 2,253 by trust here, #503 by citations
- Artificial Intelligence — 9 citations into it
- Statistical Learning Theory — 7 citations into it
- Optimization & Training — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Gwen Littlewort trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A. Viola
- Takeo Kanade
- Jerome H. Friedman
- Ying-li Tian
- Maja Pantic
- Jeffrey F. Cohn
- Michael J. Jones
- Michael J. Jones
- Robert E. Schapire
- Yoav Freund
Who trusts Gwen Littlewort overall
- Fernando De la Torre
- Caifeng Shan
- Jeffrey F. Cohn
- Michel François Valstar
- Shaogang Gong
- Martial Mermillod
- Ciprian Adrian Corneanu
- Tadas Baltrusaitis
- J. Whitehill
- Hatice Gunes
Papers from Gwen Littlewort's perspective
Ordered by how strongly the researchers Gwen Littlewort trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A decision-theoretic generalization of on-line learning and an application to boosting
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural network-based face detection
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- 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
- Toward Practical Smile Detection (2009) — 335 citations
- Fully Automatic Facial Action Recognition in Spontaneous Behavior (2006) — 346 citations
- The computer expression recognition toolbox (CERT) (2011) — 621 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
- A spiking network model of short-term active memory (1993)