John Cristian Borges Gamboa

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 158 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 19 citations into it; #7,590 of 35,345 by trust here, #23,077 by citations
• Signal Processing — 9 citations into it; #1,218 of 7,572 by trust here, #4,373 by citations
• Model Architectures — 7 citations into it
• Optimization & Training — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom John Cristian Borges Gamboa trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Aapo Hyvärinen
5. David Stutz
6. Peter J. Brockwell
7. Durdu Ömer Faruk
8. James Martens
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts John Cristian Borges Gamboa overall

1. Kukjin Choi
2. Si Chen
3. Zhongyang Han
4. Saptarshi Sengupta
5. Jihun Yi
6. Chun-Liang Li
7. Jun Zhao
8. Sima Siami‐Namini
9. Sanchita Basak
10. Changhwa Park

Papers from John Cristian Borges Gamboa's perspective

Ordered by how strongly the researchers John Cristian Borges Gamboa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network (2017) — 156 citations
• Deep Learning for Time-Series Analysis (2017) — 476 citations