Dominic Cheng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 6 citations into it
• Model Architectures — 5 citations into it

Whom Dominic Cheng trusts overall

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

1. Diederik P. Kingma
2. Sergey Ioffe
3. Evan Shelhamer
4. Christian Szegedy
5. Jimmy Ba
6. Karen Simonyan
7. Fisher Yu
8. Kaiming He
9. Geoffrey E. Hinton
10. Max Jaderberg

Who trusts Dominic Cheng overall

1. Fuyang Zhang
2. Tomer Amit
3. Yanda Meng
4. Nelson Nauata
5. Eliya Nachmani

Papers from Dominic Cheng's perspective

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

Their papers

• DARNet: Deep Active Ray Network for Building Segmentation (2019) — 131 citations