Hongwei Ng

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 97 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #3,126 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 13 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Experimental and Cognitive Psychology — 5 citations into it; #4,423 of 9,731 by trust here, #5,054 by citations

Whom Hongwei Ng trusts overall

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

1. Andrew C. Gallagher
2. Paul A. Viola
3. Chih-Jen Lin
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Matthew D. Zeiler
8. Jeff Donahue
9. Abhinav Dhall
10. Yoshua Bengio

Who trusts Hongwei Ng overall

1. Weihong Deng
2. Jaehong Yoon
3. Shan Li
4. Jiankang Deng
5. Congzheng Song
6. Mei Wang
7. Luca Melis
8. Yandong Wen
9. Kimmo Kärkkäinen
10. Xiang Wu

Papers from Hongwei Ng's perspective

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

Their papers

• A data-driven approach to cleaning large face datasets (2014) — 723 citations
• Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning (2015) — 634 citations