Adrian Galdran

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #12,981 of 21,575 by trust here, #12,172 by citations
• Media Technology — 8 citations into it; #1,947 of 3,621 by trust here, #1,770 by citations
• Atomic and Molecular Physics, and Optics — 5 citations into it

Whom Adrian Galdran trusts overall

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

1. Kaiming He
2. Yoav Y. Schechner
3. Mohinder Malhotra
4. Seiichi Serikawa
5. Diederik P. Kingma
6. Jean-Philippe Tarel
7. Nir Karpel
8. Raimondo Schettini
9. John Yi-Wu Chiang
10. Geoffrey E. Hinton

Who trusts Adrian Galdran overall

1. Yan-Tsung Peng
2. Chongyi Li
3. Peixian Zhuang
4. Lintao Peng
5. Runmin Cong
6. Ye-cai Guo
7. Wei Song
8. Pamela C. Cosman
9. Dana Berman
10. Albert Y. Kim

Papers from Adrian Galdran's perspective

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

Their papers

• End-to-End Adversarial Retinal Image Synthesis (2018) — 396 citations
• Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis (2017) — 68 citations
• Automatic Red-Channel underwater image restoration (2015) — 932 citations