Antonis A. Argyros

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 6 papers; trusts 410 researchers and is trusted by 253 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 208 citations into it; #2,438 of 21,575 by trust here, #4,438 by citations
• Artificial Intelligence — 85 citations into it
• Generative Models — 48 citations into it
• Human-Computer Interaction — 32 citations into it; #72 of 2,253 by trust here, #178 by citations
• Control and Systems Engineering — 28 citations into it; #332 of 8,257 by trust here, #508 by citations
• 3D Vision & Pose — 12 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Antonis A. Argyros trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yann LeCun
7. Karen Simonyan
8. Radford M. Neal
9. Andrew Zisserman
10. Ilya Sutskever

Who trusts Antonis A. Argyros overall

1. Changchang Wu
2. Dimitrios Tzionas
3. Danhang Tang
4. Markus Oberweger
5. Meng Ding
6. Luca Ballan
7. Hauke Strasdat
8. Johannes L. Schönberger
9. Amaël Delaunoy
10. Javier Romero

Papers from Antonis A. Argyros's perspective

Ordered by how strongly the researchers Antonis A. Argyros 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Efficient model-based 3D tracking of hand articulations using Kinect (2011) — 1,043 citations
• Full DOF tracking of a hand interacting with an object by modeling occlusions and physical constraints (2011) — 330 citations
• SBA: A software package for generic sparse bundle adjustment (2009) — 977 citations
• Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals (2017) — 46 citations
• A Review on Deep Learning Techniques for Video Prediction (2020) — 319 citations
• Hobbit, a care robot supporting independent living at home: First prototype and lessons learned (2016) — 334 citations