Renqiao Zhang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it

Whom Renqiao Zhang trusts overall

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

1. Kenneth D. Forbus
2. Robert S. Siegler
3. Simon S. Haykin
4. Ronan Collobert
5. Thomas Serre
6. Peter W. Battaglia
7. Adam Lerer
8. Geoffrey E. Hinton
9. Koray Kavukcuoglu
10. Daniel L. K. Yamins

Who trusts Renqiao Zhang overall

1. Anton Bakhtin
2. Ronan Riochet

Papers from Renqiao Zhang's perspective

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

Their papers

• A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding (2016) — 53 citations