Chee-Kheng Chng

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 342 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #5,902 of 21,575 by trust here, #11,721 by citations
• Media Technology — 26 citations into it; #678 of 3,621 by trust here, #1,329 by citations
• Artificial Intelligence — 7 citations into it; #10,870 of 35,345 by trust here, #19,439 by citations

Whom Chee-Kheng Chng trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. Evan Shelhamer
8. Andrew Zisserman
9. Yann LeCun
10. Yoshua Bengio

Who trusts Chee-Kheng Chng overall

1. Shangbang Long
2. Yuliang Liu
3. Chenyu Gao
4. Wenhai Wang
5. Cong Yao
6. Pengyuan Lyu
7. Chengquan Zhang
8. Minghui Liao
9. Youngmin Baek
10. Xiang-Yang Li

Papers from Chee-Kheng Chng's perspective

Ordered by how strongly the researchers Chee-Kheng Chng 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition (2017) — 542 citations
• Total-Text: toward orientation robustness in scene text detection (2019) — 138 citations