Evonne Ng

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it
• Artificial Intelligence — 18 citations into it
• 3D Vision & Pose — 16 citations into it
• Human-Computer Interaction — 12 citations into it
• Control and Systems Engineering — 7 citations into it

Whom Evonne Ng trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio
7. Diederik P. Kingma
8. Kris M. Kitani
9. Yann LeCun
10. Ilya Sutskever

Papers from Evonne Ng's perspective

Ordered by how strongly the researchers Evonne Ng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions (2019) — 113 citations
• Nerfstudio: A Modular Framework for Neural Radiance Field Development (2023) — 995 citations