Tom Gedeon
Computer Vision and Pattern Recognition · 2000–2015
A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #8,208 of 21,575 by trust here, #7,340 by citations
- Experimental and Cognitive Psychology — 28 citations into it; #2,219 of 9,731 by trust here, #1,782 by citations
- Signal Processing — 13 citations into it
- Cognitive Neuroscience — 11 citations into it
- Artificial Intelligence — 10 citations into it
- Social Psychology — 8 citations into it
- Cardiology and Cardiovascular Medicine — 6 citations into it
- Model Architectures — 5 citations into it
Whom Tom Gedeon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jennifer A. Healey
- Björn Schuller
- Paul J. Werbos
- Kurt Hornik
- Jiawei Han
- Timo Partala
- Christine L. Lisetti
- Christos D. Katsis
- Chih-Jen Lin
- Rosalind W. Picard
Who trusts Tom Gedeon overall
Papers from Tom Gedeon's perspective
Ordered by how strongly the researchers Tom Gedeon trusts endorse each paper. Same corpus, a different order for every researcher.
- Histograms of oriented gradients for human detection
- LIBSVM: A library for support vector machines
- 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
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012) — 636 citations
- Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015 (2015) — 336 citations
- Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark (2011) — 524 citations
- Objective measures, sensors and computational techniques for stress recognition and classification: A survey (2012) — 515 citations
- Artificial neural networks: A new method for mineral prospectivity mapping (2000) — 321 citations