Alexander Shepard

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 75 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #6,537 of 21,575 by trust here, #3,909 by citations
• Artificial Intelligence — 28 citations into it
• Model Architectures — 12 citations into it

Whom Alexander Shepard trusts overall

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

1. Christian Szegedy
2. Kaiming He
3. Sergey Ioffe
4. Ross B. Girshick
5. Geoffrey E. Hinton

Who trusts Alexander Shepard overall

1. Ishan Misra
2. Ming-Hsuan Yang
3. L. V. D. van der Maaten
4. Luc Van Gool
5. Trevor Darrell
6. Jiashi Feng
7. Chen Change Loy
8. Alan L. Yuille
9. Antonio Torralba
10. Xiaogang Wang

Papers from Alexander Shepard's perspective

Ordered by how strongly the researchers Alexander Shepard 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 Large Scale Visual Recognition Challenge
3. Going deeper with convolutions
4. ImageNet classification with deep convolutional neural networks
5. Et al
6. Microsoft COCO: Common Objects in Context
7. GENERATIVE ADVERSARIAL NETS
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The iNaturalist Species Classification and Detection Dataset (2017) — 2,111 citations
• The iNaturalist Challenge 2017 Dataset (2017) — 84 citations
• The iNaturalist Species Classification and Detection Dataset-Supplementary Material (2018)