Guillermo Garcia-Hernando

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 508 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 128 citations into it; #11,078 of 21,575 by trust here, #8,502 by citations
• Human-Computer Interaction — 68 citations into it; #1,133 of 2,253 by trust here, #546 by citations
• Control and Systems Engineering — 50 citations into it; #3,481 of 8,257 by trust here, #1,545 by citations
• Artificial Intelligence — 45 citations into it
• Biomedical Engineering — 34 citations into it
• 3D Vision & Pose — 25 citations into it
• Reinforcement Learning — 11 citations into it
• Model Architectures — 9 citations into it

Whom Guillermo Garcia-Hernando trusts overall

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

1. Raviteja Vemulapalli
2. Geoffrey E. Hinton
3. Kaiming He
4. Ilya Sutskever
5. Alex Krizhevsky
6. Jamie Shotton
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Ross B. Girshick

Who trusts Guillermo Garcia-Hernando overall

1. Bugra Tekin
2. Hichem Sahbi
3. Samarth Brahmbhatt
4. Hanwen Jiang
5. Zhe Cao
6. Dandan Shan
7. Shreyas Hampali
8. Sangpil Kim
9. Enric Corona
10. Taein Kwon

Papers from Guillermo Garcia-Hernando's perspective

Ordered by how strongly the researchers Guillermo Garcia-Hernando 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. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations (2017) — 563 citations
• Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation (2018) — 87 citations
• Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals (2017) — 46 citations
• Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection (2016) — 81 citations