Hannan Lu

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 273 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it; #12,294 of 21,575 by trust here, #11,286 by citations
• Media Technology — 56 citations into it; #1,823 of 3,621 by trust here, #1,242 by citations
• Generative Models — 19 citations into it
• Artificial Intelligence — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Computational Mechanics — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Hannan Lu trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Chao Dong
6. Radu Timofte
7. Jimmy Ba
8. Christian Szegedy
9. Yoshua Bengio
10. Yann LeCun

Who trusts Hannan Lu overall

1. Kai Zhang
2. Honggang Chen
3. Chao Dong
4. Liangbin Xie
5. Luc Van Gool
6. Sefi Bell-Kligler
7. Jae Woong Soh
8. Tao Yang
9. Radu Timofte
10. Wenlong Zhang

Papers from Hannan Lu's perspective

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

Their papers

• Blind Super-Resolution With Iterative Kernel Correction (2019) — 571 citations
• Component Divide-and-Conquer for Real-World Image Super-Resolution (2020) — 385 citations
• AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations