Terence Hung

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #17,313 of 21,575 by trust here, #16,787 by citations

Whom Terence Hung trusts overall

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

1. Xianghua Xie
2. Pedro F. Felzenszwalb
3. Timo Ojala
4. Jeff Donahue
5. Alex Krizhevsky

Who trusts Terence Hung overall

1. Long Wen
2. Yu He
3. Xian Tao

Papers from Terence Hung's perspective

Ordered by how strongly the researchers Terence Hung 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. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
4. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Generic Deep-Learning-Based Approach for Automated Surface Inspection (2018) — 422 citations