Richard C. Wilson
Computer Vision and Pattern Recognition · 2003–2016
A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #9,805 of 21,575 by trust here, #9,563 by citations
- Artificial Intelligence — 13 citations into it; #19,438 of 35,345 by trust here, #18,586 by citations
- Graph Learning — 7 citations into it; #414 of 693 by trust here, #519 by citations
Whom Richard C. Wilson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John C. Gower
- Kristen Grauman
- P. T. Fletcher
- Dmitri V. Krioukov
- Chih-Jen Lin
- Karsten M. Borgwardt
- Trevor Darrell
- Jan de Leeuw
- Fragkiskos Papadopoulos
Who trusts Richard C. Wilson overall
- Kaspar Riesen
- Christopher Morris
- Tim R. Davidson
- Aynaz Taheri
- Horst Bunke
- Xavier Pennec
- Rex Ying
- Ines Chami
- Luca Falorsi
Papers from Richard C. Wilson's perspective
Ordered by how strongly the researchers Richard C. Wilson 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Non-rigid 3D Shape Retrieval (2015) — 68 citations
- On Valid Optimal Assignment Kernels and Applications to Graph Classification (2016) — 224 citations
- Spherical and Hyperbolic Embeddings of Data (2014) — 135 citations
- Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings (2010) — 332 citations
- Spectral embedding of graphs (2003) — 317 citations