Manuel Jesús Marín-Jiménez

Computer Vision and Pattern Recognition · 2008–2020

A researcher in the Science corpus: 7 papers; trusts 493 researchers and is trusted by 2,607 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 117 citations into it; #752 of 21,575 by trust here, #1,521 by citations
• Artificial Intelligence — 67 citations into it; #1,683 of 35,345 by trust here, #2,166 by citations
• Representation & Self-Supervised Learning — 18 citations into it
• Human-Computer Interaction — 11 citations into it
• Optimization & Training — 10 citations into it
• Biomedical Engineering — 9 citations into it
• Aerospace Engineering — 5 citations into it; #5,394 of 6,421 by trust here, #4,388 by citations
• Signal Processing — 5 citations into it

Whom Manuel Jesús Marín-Jiménez trusts overall

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

1. Andrew Zisserman
2. Navneet Dalal
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Ross B. Girshick
7. Yoshua Bengio
8. Deva Ramanan
9. Karen Simonyan
10. Yann LeCun

Who trusts Manuel Jesús Marín-Jiménez overall

1. Ali Ayub
2. Bernt Schiele
3. Andrew Zisserman
4. Leonid Pishchulin
5. Tyler L. Hayes
6. Jiangpeng He
7. Omkar M. Parkhi
8. Eden Belouadah
9. Mykhaylo Andriluka
10. K. J. Joseph

Papers from Manuel Jesús Marín-Jiménez's perspective

Ordered by how strongly the researchers Manuel Jesús Marín-Jiménez 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

• Progressive search space reduction for human pose estimation (2008) — 736 citations
• End-to-End Incremental Learning (2018) — 1,337 citations
• "Here's looking at you, kid". Detecting people looking at each other in videos (2011) — 59 citations
• Detecting People Looking at Each Other in Videos (2013) — 154 citations
• LAEO-Net: Revisiting People Looking at Each Other in Videos (2019) — 76 citations
• Automatic generation and detection of highly reliable fiducial markers under occlusion (2014) — 2,673 citations
• iLGaCo: Incremental Learning of Gait Covariate Factors (2020) — 7 citations