Hsueh-Ti Derek Liu

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 45 citations into it
• Safety, Robustness & Interpretability — 25 citations into it
• Optimization & Training — 9 citations into it

Whom Hsueh-Ti Derek Liu trusts overall

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

1. Alex Krizhevsky
2. Ian J. Goodfellow
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Christian Szegedy
6. Karen Simonyan
7. Kaiming He
8. Ilya Sutskever
9. Yoshua Bengio
10. Yann LeCun

Who trusts Hsueh-Ti Derek Liu overall

1. Lorenzo Bonicelli
2. Michael A. Alcorn

Papers from Hsueh-Ti Derek Liu's perspective

Ordered by how strongly the researchers Hsueh-Ti Derek Liu 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Smooth Neural Functions via Lipschitz Regularization (2022) — 135 citations
• Adversarial Geometry and Lighting using a Differentiable Renderer (2018) — 13 citations