Haoyuan Gao

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 322 researchers and is trusted by 196 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it; #2,645 of 21,575 by trust here, #3,323 by citations
• Artificial Intelligence — 45 citations into it; #7,877 of 35,345 by trust here, #4,526 by citations
• Natural Language Processing — 26 citations into it; #4,211 of 5,688 by trust here, #2,567 by citations
• Multimodal Learning — 21 citations into it; #437 of 1,211 by trust here, #391 by citations
• Model Architectures — 15 citations into it
• Computational Mechanics — 7 citations into it

Whom Haoyuan Gao trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Alex Krizhevsky
4. Yann LeCun
5. Tomas Mikolov
6. Karen Simonyan
7. Yoshua Bengio
8. Ross B. Girshick
9. Kaiming He
10. Diederik P. Kingma

Who trusts Haoyuan Gao overall

1. Qi Wu
2. Kushal Kafle
3. Chunhua Shen
4. Peng Wang
5. Mateusz Malinowski
6. Xinlei Chen
7. Christopher Kanan
8. Devi Parikh
9. Anton van den Hengel
10. Marcus Rohrbach

Papers from Haoyuan Gao's perspective

Ordered by how strongly the researchers Haoyuan Gao 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question (2015) — 531 citations
• ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering (2015) — 297 citations
• Non-negative low rank and sparse graph for semi-supervised learning (2012) — 342 citations