Shaad Boochoon

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #20,690 of 21,575 by trust here, #9,872 by citations

Whom Shaad Boochoon trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. Ning Qian
4. Ross B. Girshick
5. Stephan R. Richter
6. Jia Deng
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. X. Zhang
10. Yann LeCun

Who trusts Shaad Boochoon overall

1. Amlan Kar

Papers from Shaad Boochoon's perspective

Ordered by how strongly the researchers Shaad Boochoon 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. 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. Attention is All you Need (Neural Information Processing Systems)
8. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization (2018) — 1,009 citations
• Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data (2018) — 316 citations