Hongzhi Wu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Computational Mechanics — 9 citations into it
• Computer Graphics and Computer-Aided Design — 8 citations into it
• 3D Vision & Pose — 6 citations into it

Whom Hongzhi Wu trusts overall

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

1. Connelly Barnes
2. Alexei A. Efros
3. Eli Shechtman
4. Brian Curless
5. Volker Blanz
6. Niloy J. Mitra
7. William E. Lorensen

Papers from Hongzhi Wu's perspective

Ordered by how strongly the researchers Hongzhi Wu 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. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Shape Completion from a Single RGBD Image (2017) — 51 citations