Lichao Huang

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 807 researchers and is trusted by 299 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 139 citations into it; #2,293 of 21,575 by trust here, #2,155 by citations
• Artificial Intelligence — 53 citations into it; #7,876 of 35,345 by trust here, #5,880 by citations
• Model Architectures — 15 citations into it; #1,352 of 2,278 by trust here, #950 by citations
• Aerospace Engineering — 13 citations into it; #5,838 of 6,421 by trust here, #5,612 by citations
• Evaluation & Benchmarks — 9 citations into it
• Media Technology — 7 citations into it; #3,297 of 3,621 by trust here, #2,954 by citations
• 3D Vision & Pose — 5 citations into it

Whom Lichao Huang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. David G. Lowe
6. Karen Simonyan
7. Pedro F. Felzenszwalb
8. Shaoqing Ren
9. Yann LeCun
10. Christian Szegedy

Who trusts Lichao Huang overall

1. Bo Li
2. Zhi Tian
3. Fangting Xia
4. Chunhua Shen
5. X. Wang
6. Kai Chen
7. Yancheng Bai
8. Chenchen Zhu
9. Tao Kong
10. Xinlong Wang

Papers from Lichao Huang's perspective

Ordered by how strongly the researchers Lichao Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• CCNet: Criss-Cross Attention for Semantic Segmentation (2018) — 3,049 citations
• DenseBox: Unifying Landmark Localization with End to End Object Detection (2015) — 484 citations
• Mask Scoring R-CNN (2019) — 1,031 citations
• Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection (2013) — 20 citations
• Parse geometry from a line: Monocular depth estimation with partial laser observation (2016) — 108 citations