Jiaxin Qi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 124 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #20,570 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 19 citations into it; #33,735 of 35,345 by trust here, #23,077 by citations
• Multimodal Learning — 19 citations into it; #1,125 of 1,211 by trust here, #1,004 by citations
• Natural Language Processing — 9 citations into it
• Causal Inference & Discovery — 5 citations into it; #347 of 364 by trust here, #249 by citations

Whom Jiaxin Qi trusts overall

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

1. Kaiming He
2. Judea Pearl
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Jiaxin Qi overall

1. Sungjin Park
2. Xinting Hu
3. Hanwang Zhang
4. Kaihua Tang
5. Taesun Whang

Papers from Jiaxin Qi's perspective

Ordered by how strongly the researchers Jiaxin Qi 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. ImageNet: A large-scale hierarchical image database
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

• Two Causal Principles for Improving Visual Dialog (2019) — 163 citations