Cheng-Hao Tu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #14,957 of 21,575 by trust here, #7,249 by citations
• Artificial Intelligence — 25 citations into it; #24,173 of 35,345 by trust here, #10,319 by citations
• Representation & Self-Supervised Learning — 14 citations into it

Whom Cheng-Hao Tu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Arun Mallya
4. Andrew Zisserman
5. Ilya Sutskever
6. Yoshua Bengio
7. Kaiming He
8. Yann LeCun
9. Diederik P. Kingma
10. Ross B. Girshick

Who trusts Cheng-Hao Tu overall

1. Sen Lin
2. Gyuhak Kim
3. Li Yang
4. Jorge Armando Mendez Mendez
5. Diana Benavides Prado
6. Nikhil Mehta
7. Yiduo Guo
8. Yabin Wang
9. Arthur Douillard
10. Liangzu Peng

Papers from Cheng-Hao Tu's perspective

Ordered by how strongly the researchers Cheng-Hao Tu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Compacting, Picking and Growing for Unforgetting Continual Learning (2019) — 379 citations