Yong Shean Chong

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #7,513 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 13 citations into it; #11,037 of 35,345 by trust here, #24,417 by citations

Whom Yong Shean Chong trusts overall

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

1. Ivan Laptev
2. Karen Simonyan
3. Viorica Patraucean
4. Cewu Lu
5. Amit Adam
6. Vijay Mahadevan
7. Xingjian Shi
8. Andrew Zisserman
9. Cordelia Schmid
10. Geoffrey E. Hinton

Who trusts Yong Shean Chong overall

1. Weixin Luo
2. Wen Liu
3. Hyunjong Park
4. Dilip Ravi Kiran
5. Shenghua Gao
6. Jongyoun Noh
7. Mathew Thomas
8. Raghavendra Chalapathy
9. Vuong Le
10. Bumsub Ham

Papers from Yong Shean Chong's perspective

Ordered by how strongly the researchers Yong Shean Chong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• Abnormal Event Detection in Videos using Spatiotemporal Autoencoder (2017) — 596 citations