Hairong Qi

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 8 papers; trusts 694 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 128 citations into it; #3,586 of 21,575 by trust here, #4,726 by citations
• Artificial Intelligence — 37 citations into it
• Media Technology — 28 citations into it; #735 of 3,621 by trust here, #1,770 by citations
• Generative Models — 27 citations into it; #847 of 1,956 by trust here, #1,134 by citations
• Aerospace Engineering — 18 citations into it; #1,156 of 6,421 by trust here, #2,734 by citations
• Optimization & Training — 15 citations into it
• Computational Mechanics — 14 citations into it; #3,433 of 10,001 by trust here, #2,857 by citations
• 3D Vision & Pose — 13 citations into it

Whom Hairong Qi trusts overall

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

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

Who trusts Hairong Qi overall

1. José M. Bioucas-Dias
2. Amir Shahroudy
3. Jun Liu
4. Nicolas Gillis
5. Tai Wang
6. Sen Jia
7. Y. Qian
8. Junjie Huang
9. Jun Yu Li
10. Kimmo Kärkkäinen

Papers from Hairong Qi's perspective

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

Their papers

• Age Progression/Regression by Conditional Adversarial Autoencoder (2017) — 1,319 citations
• Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps (2013) — 217 citations
• Image Super-Resolution by Neural Texture Transfer (2019) — 342 citations
• CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection (2020) — 397 citations
• Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning (2018) — 921 citations
• Spatio-temporal feature extraction and representation for RGB-D human action recognition (2014) — 65 citations
• Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization (2007) — 933 citations
• Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks (2002) — 988 citations