Nontawat Tritrong

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 240 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it; #16,351 of 21,575 by trust here, #17,258 by citations
• Generative Models — 22 citations into it; #1,542 of 1,956 by trust here, #1,715 by citations
• Artificial Intelligence — 18 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Nontawat Tritrong trusts overall

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

1. Geoffrey E. Hinton
2. Jeff Donahue
3. Kaiming He
4. Alex Krizhevsky
5. Karen Simonyan
6. Diederik P. Kingma
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts Nontawat Tritrong overall

1. Lucy Chai
2. Shekoofeh Azizi
3. Jun-Yan Zhu
4. William S. Peebles
5. Jiarui Xu

Papers from Nontawat Tritrong's perspective

Ordered by how strongly the researchers Nontawat Tritrong 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Repurposing GANs for One-Shot Semantic Part Segmentation (2021) — 127 citations