Alexandros André Chaaraoui

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 4 papers; trusts 333 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 140 citations into it; #8,904 of 21,575 by trust here, #11,950 by citations
• Biomedical Engineering — 45 citations into it; #7,674 of 10,734 by trust here, #9,032 by citations
• Artificial Intelligence — 38 citations into it; #28,817 of 35,345 by trust here, #29,412 by citations
• Human-Computer Interaction — 38 citations into it; #1,938 of 2,253 by trust here, #1,440 by citations
• 3D Vision & Pose — 16 citations into it
• Control and Systems Engineering — 13 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Alexandros André Chaaraoui trusts overall

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

1. David G. Lowe
2. Xiaodong Yang
3. Aaron F. Bobick
4. Navneet Dalal
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Wanqing Li
8. Kaiming He
9. Ivan Laptev
10. Bill Triggs

Who trusts Alexandros André Chaaraoui overall

1. Fei Han
2. Enea Cippitelli
3. Victoria Bloom
4. Amr Sharaf
5. Brian Reily
6. Pichao Wang
7. Wenxiu Ding
8. Liliana Lo Presti
9. Samuele Gasparrini
10. Chuan Guo

Papers from Alexandros André Chaaraoui's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset (2014) — 47 citations
• A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context (2014) — 94 citations
• Evolutionary joint selection to improve human action recognition with RGB-D devices (2014) — 153 citations
• A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living (2012) — 218 citations