Alin-Ionut Popa

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 205 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #9,829 of 21,575 by trust here, #13,269 by citations
• Human-Computer Interaction — 10 citations into it; #706 of 2,253 by trust here, #1,011 by citations
• 3D Vision & Pose — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Alin-Ionut Popa trusts overall

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

1. Varun Ramakrishna
2. Cristian Sminchisescu
3. Pedro F. Felzenszwalb
4. Ross B. Girshick
5. Yann LeCun
6. Geoffrey E. Hinton
7. Evan Shelhamer
8. Alex Krizhevsky
9. Jitendra Malik
10. Kaiming He

Who trusts Alin-Ionut Popa overall

1. Georgios Pavlakos
2. Andrei Zanfir
3. Timo von Marcard
4. Yucheng Chen
5. Pavlo Molchanov
6. Helge Rhodin
7. Xiaowei Zhou
8. Roberto Henschel
9. Yingli Tian
10. Cristian Sminchisescu

Papers from Alin-Ionut Popa's perspective

Ordered by how strongly the researchers Alin-Ionut Popa 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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

• Deep Multitask Architecture for Integrated 2D and 3D Human Sensing (2017) — 154 citations