Hei Law

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 768 researchers and is trusted by 630 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 128 citations into it; #1,709 of 21,575 by trust here, #3,166 by citations
• Artificial Intelligence — 58 citations into it; #2,139 of 35,345 by trust here, #4,489 by citations
• Computational Mechanics — 34 citations into it
• Geology — 29 citations into it
• Model Architectures — 16 citations into it
• Aerospace Engineering — 15 citations into it
• Efficiency & Compression — 9 citations into it
• 3D Vision & Pose — 8 citations into it

Whom Hei Law trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Jia Deng
7. Alejandro Newell
8. Tsung-Yi Lin
9. Ilya Sutskever
10. Shaoqing Ren

Who trusts Hei Law overall

1. Xingyi Zhou
2. Chien-Yao Wang
3. Juan R. Terven
4. Alexey Bochkovskiy
5. Yue Liao
6. Xiaosong Zhang
7. Kaiwen Duan
8. Cheng Chi
9. Philipp Krahenbuhl
10. Gong Cheng

Papers from Hei Law's perspective

Ordered by how strongly the researchers Hei Law 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• CornerNet: Detecting Objects as Paired Keypoints (2018) — 4,142 citations
• CornerNet-Lite: Efficient Keypoint based Object Detection (2019) — 184 citations
• Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline (2021) — 308 citations