Wen-Huang Cheng

Computer Vision and Pattern Recognition · with Chen · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it

Whom Wen-Huang Cheng trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Yoshua Bengio
4. Xueyang Fu
5. Geoffrey E. Hinton
6. Alex Krizhevsky

Papers from Wen-Huang Cheng's perspective

Ordered by how strongly the researchers Wen-Huang Cheng 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model (2020) — 363 citations
• Computer-aided classification of lung nodules on computed tomography images via deep learning technique (2015) — 489 citations
• LaRED: a large RGB-D extensible hand gesture dataset (2014) — 42 citations
• Human action recognition and retrieval using sole depth information (2012) — 106 citations