Thomas E. Huang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 16 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Meta & Continual Learning — 7 citations into it

Whom Thomas E. Huang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Tsung-Yi Lin
6. Alex Krizhevsky
7. Bharath Hariharan
8. Piotr Doll'ar
9. Oriol Vinyals
10. Yann LeCun

Who trusts Thomas E. Huang overall

1. Yaoyao Liu
2. Yang Xiao
3. Sijia Wang
4. Dan Andrei Ganea
5. Haotian Zhang
6. Liunian Harold Li
7. Dahun Kim
8. Songyang Zhang
9. Amir Bar
10. Limeng Qiao

Papers from Thomas E. Huang's perspective

Ordered by how strongly the researchers Thomas E. Huang 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Frustratingly Simple Few-Shot Object Detection (2020) — 747 citations