Gustavo Adolfo Velasco-Hernández

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Aerospace Engineering — 18 citations into it
• 3D Vision & Pose — 5 citations into it

Whom Gustavo Adolfo Velasco-Hernández trusts overall

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

1. Yin Zhou
2. Zhengyou Zhang
3. Alex Krizhevsky
4. Kaiming He
5. Andrew Zisserman
6. Charles Ruizhongtai Qi
7. Geoffrey E. Hinton
8. Oncel Tuzel
9. Ross B. Girshick
10. Danfei Xu

Papers from Gustavo Adolfo Velasco-Hernández's perspective

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

Their papers

• Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review (2021) — 895 citations
• Deep Learning vs. Traditional Computer Vision (2019) — 1,050 citations