Chi-Man Vong

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 24 citations into it; #24,994 of 35,345 by trust here, #21,878 by citations
• Electrical and Electronic Engineering — 10 citations into it; #9,573 of 16,539 by trust here, #10,438 by citations

Whom Chi-Man Vong trusts overall

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

1. G. Huang
2. Yann LeCun
3. Peter L. Bartlett
4. Geoffrey E. Hinton
5. Lei Chen
6. Yoshua Bengio
7. Alex Krizhevsky
8. Corinna Cortes
9. Kaiming He

Who trusts Chi-Man Vong overall

1. G. Huang

Papers from Chi-Man Vong's perspective

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

Their papers

• Local Receptive Fields Based Extreme Learning Machine (2015) — 331 citations
• Extreme Learning Machines [Trends & Controversies] (2013) — 433 citations
• 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation (2019) — 180 citations