Thang To

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #14,831 of 21,575 by trust here, #8,205 by citations
• Aerospace Engineering — 16 citations into it
• Artificial Intelligence — 11 citations into it

Whom Thang To trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Stefan Hinterstoißer
7. Jifeng Dai
8. Jimmy Ba
9. Christian Szegedy
10. Karen Simonyan

Who trusts Thang To overall

1. Sergey I. Nikolenko
2. Gu Wang
3. Yu Xiang
4. Priyanka Mandikal
5. Christopher Xie
6. Lucas Manuelli
7. Oliver Kroemer
8. Sulabh Kumra

Papers from Thang To's perspective

Ordered by how strongly the researchers Thang To 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Microsoft COCO: Common Objects in Context

Their papers

• Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization (2018) — 1,009 citations
• Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects (2018) — 755 citations