Hang Su

Computer Vision and Pattern Recognition · with Jampani · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 547 researchers and is trusted by 366 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 138 citations into it; #2,169 of 21,575 by trust here, #2,494 by citations
• Artificial Intelligence — 41 citations into it; #12,568 of 35,345 by trust here, #17,110 by citations
• Computational Mechanics — 33 citations into it
• Model Architectures — 19 citations into it
• Aerospace Engineering — 15 citations into it
• 3D Vision & Pose — 14 citations into it
• Media Technology — 13 citations into it
• Natural Language Processing — 8 citations into it

Whom Hang Su trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. David G. Lowe
5. Diederik P. Kingma
6. Kaiming He
7. Yann LeCun
8. Andrew Zisserman
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Hang Su overall

1. Charles Ruizhongtai Qi
2. Yifan Feng
3. Yue Wang
4. Ishan Misra
5. Mikaela Angelina Uy
6. Angela Dai
7. Chunyuan Li
8. Yongming Rao
9. Hao Su
10. Haoxuan You

Papers from Hang Su's perspective

Ordered by how strongly the researchers Hang Su 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multi-view Convolutional Neural Networks for 3D Shape Recognition (2015) — 3,623 citations
• The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding (2014) — 424 citations
• Pixel-Adaptive Convolutional Neural Networks (2019) — 337 citations
• SPLATNet: Sparse Lattice Networks for Point Cloud Processing (2018) — 793 citations