Despoina Paschalidou

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Aerospace Engineering — 14 citations into it
• Computational Mechanics — 13 citations into it
• 3D Vision & Pose — 12 citations into it
• Computer Graphics and Computer-Aided Design — 10 citations into it

Whom Despoina Paschalidou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christian Häne
2. Diederik P. Kingma
3. Ali O. Ulusoy
4. Geoffrey E. Hinton
5. Jitendra Malik
6. Yann LeCun
7. Alex Krizhevsky
8. Jimmy Ba
9. Kaiming He
10. Yoshua Bengio

Who trusts Despoina Paschalidou overall

1. Hamid Laga
2. Nikos Kolotouros
3. Bo Yang
4. Zehao Yu
5. P. MarinVlastelica
6. Michael Niemeyer
7. Shuo Cheng
8. Yao Yao
9. Songyou Peng
10. Michael Oechsle

Papers from Despoina Paschalidou's perspective

Ordered by how strongly the researchers Despoina Paschalidou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials (2018) — 98 citations