Theodora Kontogianni
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 362 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it
- Artificial Intelligence — 24 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Computational Mechanics — 9 citations into it; #8,761 of 10,001 by trust here, #7,173 by citations
- Geology — 8 citations into it; #598 of 687 by trust here, #568 by citations
Whom Theodora Kontogianni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Andrew Zisserman
Who trusts Theodora Kontogianni overall
Papers from Theodora Kontogianni's perspective
Ordered by how strongly the researchers Theodora Kontogianni 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections (2019) — 64 citations
- Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds (2017) — 281 citations