Pablo Aponte

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #14,810 of 21,575 by trust here, #9,872 by citations
• Human-Computer Interaction — 21 citations into it
• Control and Systems Engineering — 12 citations into it; #5,394 of 8,257 by trust here, #1,814 by citations

Whom Pablo Aponte trusts overall

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

1. Juergen Gall
2. I. Oikonomidis
3. John F. Canny

Who trusts Pablo Aponte overall

1. Michael J. Black
2. Dimitrios Tzionas
3. Hanbyul Joo

Papers from Pablo Aponte's perspective

Ordered by how strongly the researchers Pablo Aponte 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. ImageNet: A large-scale hierarchical image database
4. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation (2015) — 327 citations