Michalis Vrigkas
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 893 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 147 citations into it
- Artificial Intelligence — 89 citations into it
- Biomedical Engineering — 32 citations into it
- Human-Computer Interaction — 16 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Signal Processing — 12 citations into it
- Experimental and Cognitive Psychology — 7 citations into it
- Media Technology — 5 citations into it
Whom Michalis Vrigkas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Ivan Laptev
- Radford M. Neal
- Karen Simonyan
- Diederik P. Kingma
- Navneet Dalal
- Yann LeCun
Who trusts Michalis Vrigkas overall
Papers from Michalis Vrigkas's perspective
Ordered by how strongly the researchers Michalis Vrigkas 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Adaptive SVM+: Learning with Privileged Information for Domain Adaptation (2017) — 25 citations
- A Review of Human Activity Recognition Methods (2015) — 538 citations