Qingyi Tao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 110 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #16,098 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 26 citations into it; #26,230 of 35,345 by trust here, #23,731 by citations
• Multimodal Learning — 18 citations into it; #857 of 1,211 by trust here, #1,033 by citations
• Natural Language Processing — 13 citations into it

Whom Qingyi Tao trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick
9. Dzmitry Bahdanau
10. Kyunghyun Cho

Who trusts Qingyi Tao overall

1. Sarah Wiegreffe
2. Ana Marasovic
3. Ben Zion Vatashsky

Papers from Qingyi Tao's perspective

Ordered by how strongly the researchers Qingyi Tao 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions (2018) — 123 citations