Hao Wang

Aerospace Engineering · with Wang · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 25 citations into it; #3,340 of 6,421 by trust here, #6,012 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #13,440 of 21,575 by trust here, #20,756 by citations
• Geology — 12 citations into it; #412 of 687 by trust here, #665 by citations
• 3D Vision & Pose — 6 citations into it

Whom Hao Wang trusts overall

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

1. Thomas Whelan
2. Qian-Yi Zhou
3. Jürgen Sturm
4. Richard A. Newcombe
5. Vladlen Koltun
6. Felix Endres
7. Andrew J. Davison
8. Dorian Gálvez-López
9. Christian Kerl
10. Sungjoon Choi

Who trusts Hao Wang overall

1. Thomas Schöps
2. Mahdi Yazdanpour
3. Torsten Sattler
4. Guoliang Fan

Papers from Hao Wang's perspective

Ordered by how strongly the researchers Hao Wang 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. 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. ImageNet Large Scale Visual Recognition Challenge
7. Distinctive Image Features from Scale-Invariant Keypoints
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Et al

Their papers

• Online Reconstruction of Indoor Scenes from RGB-D Streams (2016) — 26 citations
• A review of third generation SiC fibers and SiCf/SiC composites (2019) — 253 citations