Charles V. Stewart
Computer Vision and Pattern Recognition · 2002–2017
A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 49 citations into it; #6,033 of 21,575 by trust here, #10,154 by citations
- Radiology, Nuclear Medicine and Imaging — 18 citations into it; #351 of 3,265 by trust here, #1,462 by citations
- Artificial Intelligence — 11 citations into it
- Ophthalmology — 10 citations into it; #31 of 222 by trust here, #125 by citations
- Aerospace Engineering — 6 citations into it; #1,492 of 6,421 by trust here, #3,072 by citations
- Statistics and Probability — 5 citations into it
Whom Charles V. Stewart trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philip H. S. Torr
- Gunilla Borgefors
- Peter J. Rousseeuw
- Haili Chui
- James S. Duncan
- Harry Shum
- Peter Meer
- David G. Lowe
- Xiaoyi Jiang
- Cemil Kirbas
Who trusts Charles V. Stewart overall
- Aristeidis Sotiras
- Francisco P. M. Oliveira
- Vaidy Mani
- J. Unar
- François Pomerleau
- Christos Davatzikos
- Amos Sironi
- João Manuel Ribeiro da Silva Tavares
- Carmen Alina Lupascu
- Dr.S. rivazhagan
Papers from Charles V. Stewart's perspective
Ordered by how strongly the researchers Charles V. Stewart trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Fully convolutional networks for semantic segmentation
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures (2006) — 380 citations
- Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales (2017) — 43 citations
- Multiple kernel tracking with SSD (2004) — 298 citations
- The dual-bootstrap iterative closest point algorithm with application to retinal image registration (2003) — 410 citations
- A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina (2002) — 324 citations