Stamatios Lefkimmiatis
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 514 researchers and is trusted by 227 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #2,512 of 21,575 by trust here, #11,950 by citations
- Computational Mechanics — 17 citations into it; #4,964 of 10,001 by trust here, #8,566 by citations
- Media Technology — 14 citations into it; #434 of 3,621 by trust here, #1,365 by citations
- Artificial Intelligence — 10 citations into it
- Optimization & Training — 8 citations into it
Whom Stamatios Lefkimmiatis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Roth
- Diederik P. Kingma
- Neal Parikh
- A. Buades
- Geoffrey E. Hinton
- David R. Martin
- Kostadin Dabov
- Andrea Vedaldi
- Kaiming He
- Alex Krizhevsky
Who trusts Stamatios Lefkimmiatis overall
- Abdul Mueed Hafiz
- Tobias Plötz
- X. Wang
- Zongsheng Yue
- Ding Liu
- Stefan Roth
- Ghulam Mohiuddin Bhat
- Kai Zhang
- Ross B. Girshick
- Andreas Lugmayr
Papers from Stamatios Lefkimmiatis's perspective
Ordered by how strongly the researchers Stamatios Lefkimmiatis 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Non-local Color Image Denoising with Convolutional Neural Networks (2016) — 356 citations
- Universal Denoising Networks : A Novel CNN Architecture for Image Denoising (2017) — 299 citations