José M. Chaquet

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #8,487 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 28 citations into it; #12,926 of 35,345 by trust here, #19,873 by citations
• Biomedical Engineering — 11 citations into it
• Human-Computer Interaction — 9 citations into it

Whom José M. Chaquet trusts overall

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

1. Ivan Laptev
2. Ronald Poppe
3. Ernesto L. Andrade
4. Gabriele Paolacci
5. Alonso Patron-Perez
6. Michael S. Ryoo
7. Daniel Weinland
8. Andrew Zisserman
9. Geoffrey E. Hinton
10. Marcin Marszalek

Who trusts José M. Chaquet overall

1. Keze Wang
2. Liang Lin
3. Boulbaba Ben Amor
4. Hilde Kuehne
5. Michalis Vrigkas
6. Daniela Micucci
7. Xiang Li
8. Tal Hassner
9. Jingyong Su
10. Christophoros Nikou

Papers from José M. Chaquet's perspective

Ordered by how strongly the researchers José M. Chaquet 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: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A survey of video datasets for human action and activity recognition (2013) — 466 citations