Shang-Hong Lai

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #7,328 of 21,575 by trust here, #9,187 by citations

Whom Shang-Hong Lai trusts overall

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

1. Andrew Zisserman
2. Ross B. Girshick
3. Kaiming He
4. Alexei A. Efros
5. Shaoqing Ren
6. Antonio Torralba
7. Jitendra Malik
8. Alex Krizhevsky
9. David G. Lowe
10. Li Fei-Fei

Who trusts Shang-Hong Lai overall

1. Guanbin Li
2. Xi Li
3. Florian Jaton
4. Houwen Peng

Papers from Shang-Hong Lai's perspective

Ordered by how strongly the researchers Shang-Hong Lai 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• Fusing generic objectness and visual saliency for salient object detection (2011) — 390 citations
• AugGAN: Cross Domain Adaptation with GAN-Based Data Augmentation (2018) — 256 citations